mirror of
https://github.com/gradio-app/gradio.git
synced 2025-03-25 12:10:31 +08:00
Converting the website into sveltekit (#3437)
* index page * demos page * guides gallery page * guides * some docs work * changes * changes * docs work * refactor some to ssr * more refactoring * add metatags * add special docs pages and improve nav * fix prev next in combining * add changelog * Site slugs for new website (#3431) * safe slugs for docs * add slugs to guides * changes * add flagging --------- Co-authored-by: aliabd <ali.si3luwa@gmail.com> * make anchor tags visible on hover * add anchor tags to docs * fix @html in codeblocks * fix demos in guides * syntax highlighting code in example usage * fix @html in changelog * fix contributing lin * fix assets in guides * fix broken assets on build * error page * fix meta tags updating * move guides to be /guides/[guide] instead of /[guide] * add headers to sections and make them linkable - freddy feedback * add guides section to docs * tighten width and add second nav bar * styling second nav bar * smooth scrolling in docs and guides * make components clickable in event listener graph * load latest gradio.js * menu bar on docs mobile * scrolling highlight menu and remove base docs page * vercel * refactor guides * fix slugs in docs * fix < and code formatting in guides * added search * redirect all old links * fix bad merge * fix paths * Fix css issue with spaces logo * add status page link to footer * add themes to docs * fix new documentation.py path * add python client docs * make docs faster * add clients ot docs * colors * convert to adapter static * prerender * fix broken paths in guides * fix broken slugs * Aliabd/website sveltekit test (#4572) * fixes to paths * fixes * typechecking * fix * fix * fix * types lib * more type fixes * extends fix * typing fix * typing fix * json typing fix * add jsons * rollup * tweak * fix lockfile * fix maybe * fix maybe * changes * ui functional fix * oops * pnpm version * fix app --------- Co-authored-by: pngwn <hello@pngwn.io> Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
This commit is contained in:
Ali Abdalla
GitHub
parent
80b4996595
commit
cd693708cf
1
.gitignore
vendored
1
.gitignore
vendored
@ -58,6 +58,7 @@ workspace.code-workspace
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# FRP
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gradio/frpc_*
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.vercel
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# js
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node_modules
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@ -48,7 +48,7 @@
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## Breaking Changes:
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[PR 4683](https://github.com/gradio-app/gradio/pull/4683) removes the explict named endpoint "load_examples" from gr.Interface that was introduced in [PR 4456]((https://github.com/gradio-app/gradio/pull/4683)).
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[PR 4683](https://github.com/gradio-app/gradio/pull/4683) removes the explict named endpoint "load_examples" from gr.Interface that was introduced in [PR 4456](https://github.com/gradio-app/gradio/pull/4456).
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# 3.35.2
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@ -1774,7 +1774,7 @@ No changes to highlight.
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## Testing and Infrastructure Changes:
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- Remove h11 pinning by [@ecederstrand](<[https://github.com/abidlabs](https://github.com/ecederstrand)>) in [PR 2820](<[https://github.com/gradio-app/gradio/pull/2808](https://github.com/gradio-app/gradio/pull/2820)>)
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- Remove h11 pinning by [@ecederstrand](https://github.com/ecederstrand) in [PR 2820](https://github.com/gradio-app/gradio/pull/2820)
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## Breaking Changes:
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@ -35,6 +35,24 @@ No changes to highlight.
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No changes to highlight.
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# 0.2.7
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## New Features:
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- The output directory for files downloaded via the Client can now be set by the `output_dir` parameter in `Client` by [@abidlabs](https://github.com/abidlabs) in [PR 4501](https://github.com/gradio-app/gradio/pull/4501)
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## Bug Fixes:
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- The output directory for files downloaded via the Client are now set to a temporary directory by default (instead of the working directory in some cases) by [@abidlabs](https://github.com/abidlabs) in [PR 4501](https://github.com/gradio-app/gradio/pull/4501)
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## Breaking Changes:
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No changes to highlight.
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## Full Changelog:
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No changes to highlight.
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# 0.2.6
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## New Features:
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@ -53,7 +53,7 @@ There are three arguments in the `Interface` constructor to specify where this c
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* `description`: which accepts text, markdown or HTML and places it right under the title.
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* `article`: which also accepts text, markdown or HTML and places it below the interface.
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If you're using the `Blocks` API instead, you can insert text, markdown, or HTML anywhere using the `gr.Markdown(...)` or `gr.HTML(...)` components, with descriptive content inside the `Component` constructor.
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@ -109,7 +109,7 @@ If you wish for the user to provide a reason for flagging, you can pass a list o
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## Preprocessing and Postprocessing
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As you've seen, Gradio includes components that can handle a variety of different data types, such as images, audio, and video. Most components can be used both as inputs or outputs.
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@ -141,7 +141,7 @@ Gradio themes are the easiest way to customize the look and feel of your app. Yo
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demo = gr.Interface(..., theme=gr.themes.Monochrome())
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```
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Gradio comes with a set of prebuilt themes which you can load from `gr.themes.*`. You can extend these themes or create your own themes from scratch - see the [Theming guide](https://gradio.app/theming-guide) for more details.
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Gradio comes with a set of prebuilt themes which you can load from `gr.themes.*`. You can extend these themes or create your own themes from scratch - see the [Theming guide](https://gradio.app/guides/theming-guide) for more details.
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For additional styling ability, you can pass any CSS to your app using the `css=` kwarg.
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The base class for the Gradio app is `gradio-container`, so here's an example that changes the background color of the Gradio app:
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@ -295,4 +295,5 @@ Note: using batch functions with Gradio **requires** you to enable queuing in th
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## Colab Notebooks
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Gradio is able to run anywhere you run Python, including local jupyter notebooks as well as collaborative notebooks, such as [Google Colab](https://colab.research.google.com/). In the case of local jupyter notebooks and Google Colab notbooks, Gradio runs on a local server which you can interact with in your browser. (Note: for Google Colab, this is accomplished by [service worker tunneling](https://github.com/tensorflow/tensorboard/blob/master/docs/design/colab_integration.md), which requires cookies to be enabled in your browser.) For other remote notebooks, Gradio will also run on a server, but you will need to use [SSH tunneling](https://coderwall.com/p/ohk6cg/remote-access-to-ipython-notebooks-via-ssh) to view the app in your local browser. Often a simpler options is to use Gradio's built-in public links, [discussed in the next Guide](/sharing-your-app/#sharing-demos).
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Gradio is able to run anywhere you run Python, including local jupyter notebooks as well as collaborative notebooks, such as [Google Colab](https://colab.research.google.com/). In the case of local jupyter notebooks and Google Colab notbooks, Gradio runs on a local server which you can interact with in your browser. (Note: for Google Colab, this is accomplished by [service worker tunneling](https://github.com/tensorflow/tensorboard/blob/master/docs/design/colab_integration.md), which requires cookies to be enabled in your browser.) For other remote notebooks, Gradio will also run on a server, but you will need to use [SSH tunneling](https://coderwall.com/p/ohk6cg/remote-access-to-ipython-notebooks-via-ssh) to view the app in your local browser. Often a simpler options is to use Gradio's built-in public links, [discussed in the next Guide](https://gradio.app/guides/sharing-your-app/#sharing-demos).
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@ -9,7 +9,7 @@ How to share your Gradio app:
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5. [Using the API page](#api-page)
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6. [Adding authentication to the page](#authentication)
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7. [Accessing Network Requests](#accessing-the-network-request-directly)
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8. [Mounting within FastAPI](#mounting-within-another-fastapi-app)
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8. [Mounting within FastAPI](#mounting-within-another-fast-api-app)
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9. [Security](#security-and-file-access)
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## Sharing Demos
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@ -24,7 +24,7 @@ This generates a public, shareable link that you can send to anybody! When you s
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Keep in mind, however, that these links are publicly accessible, meaning that anyone can use your model for prediction! Therefore, make sure not to expose any sensitive information through the functions you write, or allow any critical changes to occur on your device. If you set `share=False` (the default, except in colab notebooks), only a local link is created, which can be shared by [port-forwarding](https://www.ssh.com/ssh/tunneling/example) with specific users.
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<img style="width: 40%" src="/assets/guides/sharing.svg">
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Share links expire after 72 hours.
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@ -38,7 +38,7 @@ After you have [created a free Hugging Face account](https://huggingface.co/join
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3. Connect Spaces with your Git repository and Spaces will pull the Gradio app from there. See [this guide how to host on Hugging Face Spaces](https://huggingface.co/blog/gradio-spaces) for more information.
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<video autoplay muted loop>
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<source src="/assets/guides/hf_demo.mp4" type="video/mp4" />
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<source src="https://github.com/gradio-app/gradio/blob/main/guides/assets/hf_demo.mp4?raw=true" type="video/mp4" />
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</video>
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## Embedding Hosted Spaces
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@ -47,7 +47,7 @@ Once you have hosted your app on Hugging Face Spaces (or on your own server), yo
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There are two ways to embed your Gradio demos. You can find quick links to both options directly on the Hugging Face Space page, in the "Embed this Space" dropdown option:
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### Embedding with Web Components
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@ -57,21 +57,23 @@ To embed with Web Components:
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1. Import the gradio JS library into into your site by adding the script below in your site (replace {GRADIO_VERSION} in the URL with the library version of Gradio you are using).
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```html
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<script type="module"
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```html
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<script type="module"
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src="https://gradio.s3-us-west-2.amazonaws.com/{GRADIO_VERSION}/gradio.js">
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</script>
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```
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</script>
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```
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2. Add
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```html
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<gradio-app src="https://$your_space_host.hf.space"></gradio-app>
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```
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```html
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<gradio-app src="https://$your_space_host.hf.space"></gradio-app>
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```
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element where you want to place the app. Set the `src=` attribute to your Space's embed URL, which you can find in the "Embed this Space" button. For example:
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```html
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<gradio-app src="https://abidlabs-pytorch-image-classifier.hf.space"></gradio-app>
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```
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```html
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<gradio-app src="https://abidlabs-pytorch-image-classifier.hf.space"></gradio-app>
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```
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<script>
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fetch("https://pypi.org/pypi/gradio/json"
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@ -100,8 +102,8 @@ You can also customize the appearance and behavior of your web component with at
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Here's an example of how to use these attributes to create a Gradio app that does not lazy load and has an initial height of 0px.
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```html
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<gradio-app space="gradio/Echocardiogram-Segmentation" eager="true"
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initial_height="0px"></gradio-app>
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<gradio-app space="gradio/Echocardiogram-Segmentation" eager="true"
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initial_height="0px"></gradio-app>
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```
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_Note: While Gradio's CSS will never impact the embedding page, the embedding page can affect the style of the embedded Gradio app. Make sure that any CSS in the parent page isn't so general that it could also apply to the embedded Gradio app and cause the styling to break. Element selectors such as `header { ... }` and `footer { ... }` will be the most likely to cause issues._
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@ -111,7 +113,7 @@ _Note: While Gradio's CSS will never impact the embedding page, the embedding pa
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To embed with IFrames instead (if you cannot add javascript to your website, for example), add this element:
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```html
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<iframe src="https://$your_space_host.hf.space"></iframe>
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<iframe src="https://$your_space_host.hf.space"></iframe>
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```
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Again, you can find the `src=` attribute to your Space's embed URL, which you can find in the "Embed this Space" button.
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@ -124,7 +126,7 @@ You can use almost any Gradio app as an API! In the footer of a Gradio app [like
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This is a page that lists the endpoints that can be used to query the Gradio app, via our supported clients: either [the Python client](/getting-started-with-the-python-client/), or [the JavaScript client](/getting-started-with-the-js-client/). For each endpoint, Gradio automatically generates the parameters and their types, as well as example inputs.
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This is a page that lists the endpoints that can be used to query the Gradio app, via our supported clients: either [the Python client](https://gradio.app/guides/getting-started-with-the-python-client/), or [the JavaScript client](https://gradio.app/guides/getting-started-with-the-js-client/). For each endpoint, Gradio automatically generates the parameters and their types, as well as example inputs.
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The endpoints are automatically created when you launch a Gradio `Interface`. If you are using Gradio `Blocks`, you can also set up a Gradio API page, though we recommend that you explicitly name each event listener, such as
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@ -134,7 +136,7 @@ btn.click(add, [num1, num2], output, api_name="addition")
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This will add and document the endpoint `/api/addition/` to the automatically generated API page. Otherwise, your API endpoints will appear as "unnamed" endpoints.
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*Note*: For Gradio apps in which [queueing is enabled](https://gradio.app/key-features#queuing), users can bypass the queue if they make a POST request to your API endpoint. To disable this behavior, set `api_open=False` in the `queue()` method. To disable the API page altogether, set `show_api=False` in `.launch()`.
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*Note*: For Gradio apps in which [queueing is enabled](https://gradio.app/guides/key-features#queuing), users can bypass the queue if they make a POST request to your API endpoint. To disable this behavior, set `api_open=False` in the `queue()` method. To disable the API page altogether, set `show_api=False` in `.launch()`.
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## Authentication
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@ -25,4 +25,4 @@ $demo_chatbot_dialogpt
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Notice how the state persists across submits within each page, but if you load this demo in another tab (or refresh the page), the demos will not share chat history.
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The default value of `state` is None. If you pass a default value to the state parameter of the function, it is used as the default value of the state instead. The `Interface` class only supports a single input and outputs state variable, though it can be a list with multiple elements. For more complex use cases, you can use Blocks, [which supports multiple `State` variables](/state_in_blocks/).
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The default value of `state` is None. If you pass a default value to the state parameter of the function, it is used as the default value of the state instead. The `Interface` class only supports a single input and outputs state variable, though it can be a list with multiple elements. For more complex use cases, you can use Blocks, [which supports multiple `State` variables](/guides/state-in-blocks/).
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@ -1,10 +1,10 @@
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# More on Examples
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This guide covers what more you can do with Examples: Loading examples from a directory, providing partial examples, and caching. If Examples is new to you, check out the intro in the [Key Features](../key-features/#example-inputs) guide.
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This guide covers what more you can do with Examples: Loading examples from a directory, providing partial examples, and caching. If Examples is new to you, check out the intro in the [Key Features](/guides/key-features/#example-inputs) guide.
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## Providing Examples
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As covered in the [Key Features](../key-features/#example-inputs) guide, adding examples to an Interface is as easy as providing a list of lists to the `examples`
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As covered in the [Key Features](/guides/key-features/#example-inputs) guide, adding examples to an Interface is as easy as providing a list of lists to the `examples`
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keyword argument.
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Each sublist is a data sample, where each element corresponds to an input of the prediction function.
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The inputs must be ordered in the same order as the prediction function expects them.
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@ -41,7 +41,7 @@ If you'd like to reference external files in your css, preface the file path (wh
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gr.Interface(..., css="body {background-image: url('file=clouds.jpg')}")
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```
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**Warning**: Custom CSS is *not* guaranteed to work across Gradio versions as the Gradio HTML DOM may change. We recommend using custom CSS sparingly and instead using [Themes](/theming-guide/) whenever possible.
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**Warning**: Custom CSS is *not* guaranteed to work across Gradio versions as the Gradio HTML DOM may change. We recommend using custom CSS sparingly and instead using [Themes](/guides/theming-guide/) whenever possible.
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## Loading Hugging Face Models and Spaces
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@ -1,6 +1,6 @@
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# Blocks and Event Listeners
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We took a quick look at Blocks in the [Quickstart](https://gradio.app/quickstart/#blocks-more-flexibility-and-control). Let's dive deeper. This guide will cover the how Blocks are structured, event listeners and their types, running events continuously, updating configurations, and using dictionaries vs lists.
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We took a quick look at Blocks in the [Quickstart](https://gradio.app/guides/quickstart/#blocks-more-flexibility-and-control). Let's dive deeper. This guide will cover the how Blocks are structured, event listeners and their types, running events continuously, updating configurations, and using dictionaries vs lists.
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## Blocks Structure
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@ -13,7 +13,7 @@ with gr.Blocks(theme=gr.themes.Glass()):
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...
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```
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Gradio comes with a set of prebuilt themes which you can load from `gr.themes.*`. You can extend these themes or create your own themes from scratch - see the [Theming guide](/theming-guide) for more details.
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Gradio comes with a set of prebuilt themes which you can load from `gr.themes.*`. You can extend these themes or create your own themes from scratch - see the [Theming guide](/guides/theming-guide) for more details.
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For additional styling ability, you can pass any CSS to your app using the `css=` kwarg.
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@ -2,7 +2,7 @@
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Tags: TRANSLATION, HUB, SPACES
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**Prerequisite**: This Guide builds on the Blocks Introduction. Make sure to [read that guide first](https://gradio.app/quickstart/#blocks-more-flexibility-and-control).
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**Prerequisite**: This Guide builds on the Blocks Introduction. Make sure to [read that guide first](https://gradio.app/guides/quickstart/#blocks-more-flexibility-and-control).
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## Introduction
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@ -105,7 +105,7 @@ Here, `create_repo` creates a gradio repo with the target name under a specific
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## Embedding your Space demo on other websites
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Throughout this guide, you've seen many embedded Gradio demos. You can also do this on own website! The first step is to create a Hugging Face Space with the demo you want to showcase. Then, [follow the steps here to embed the Space on your website](/sharing-your-app/#embedding-hosted-spaces).
|
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Throughout this guide, you've seen many embedded Gradio demos. You can also do this on own website! The first step is to create a Hugging Face Space with the demo you want to showcase. Then, [follow the steps here to embed the Space on your website](/guides/sharing-your-app/#embedding-hosted-spaces).
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## Loading demos from Spaces
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@ -5,7 +5,7 @@ Contributed by the Comet team
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## Introduction
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In this guide we will demonstrate some of the ways you can use Gradio with Comet. We will cover the basics of using Comet with Gradio and show you some of the ways that you can leverage Gradio's advanced features such as [Embedding with iFrames](https://www.gradio.app/sharing-your-app/#embedding-with-iframes) and [State](https://www.gradio.app/docs/#state) to build some amazing model evaluation workflows.
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In this guide we will demonstrate some of the ways you can use Gradio with Comet. We will cover the basics of using Comet with Gradio and show you some of the ways that you can leverage Gradio's advanced features such as [Embedding with iFrames](https://www.gradio.app/guides/sharing-your-app/#embedding-with-iframes) and [State](https://www.gradio.app/docs/#state) to build some amazing model evaluation workflows.
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Here is a list of the topics covered in this guide.
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@ -54,10 +54,10 @@ Let's get started!
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Install Gradio and Wandb at the top:
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```sh
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```sh
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pip install gradio wandb
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```
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pip install gradio wandb
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```
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3. Finetune StyleGAN and W&B experiment tracking
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@ -139,121 +139,195 @@ Let's get started!
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wandb.log({"Current Samples": out_table})
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```
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alpha = 1.0
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alpha = 1-alpha
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preserve_color = True
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num_iter = 100
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log_interval = 50
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samples = []
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column_names = ["Referece (y)", "Style Code(w)", "Real Face Image(x)"]
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wandb.init(project="JoJoGAN")
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config = wandb.config
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config.num_iter = num_iter
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config.preserve_color = preserve_color
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wandb.log(
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{"Style reference": [wandb.Image(transforms.ToPILImage()(target_im))]},
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step=0)
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# load discriminator for perceptual loss
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discriminator = Discriminator(1024, 2).eval().to(device)
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ckpt = torch.load('models/stylegan2-ffhq-config-f.pt', map_location=lambda storage, loc: storage)
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||||
discriminator.load_state_dict(ckpt["d"], strict=False)
|
||||
|
||||
# reset generator
|
||||
del generator
|
||||
generator = deepcopy(original_generator)
|
||||
|
||||
g_optim = optim.Adam(generator.parameters(), lr=2e-3, betas=(0, 0.99))
|
||||
|
||||
# Which layers to swap for generating a family of plausible real images -> fake image
|
||||
if preserve_color:
|
||||
id_swap = [9,11,15,16,17]
|
||||
else:
|
||||
id_swap = list(range(7, generator.n_latent))
|
||||
|
||||
for idx in tqdm(range(num_iter)):
|
||||
mean_w = generator.get_latent(torch.randn([latents.size(0), latent_dim]).to(device)).unsqueeze(1).repeat(1, generator.n_latent, 1)
|
||||
in_latent = latents.clone()
|
||||
in_latent[:, id_swap] = alpha*latents[:, id_swap] + (1-alpha)*mean_w[:, id_swap]
|
||||
|
||||
img = generator(in_latent, input_is_latent=True)
|
||||
|
||||
with torch.no_grad():
|
||||
real_feat = discriminator(targets)
|
||||
fake_feat = discriminator(img)
|
||||
|
||||
loss = sum([F.l1_loss(a, b) for a, b in zip(fake_feat, real_feat)])/len(fake_feat)
|
||||
|
||||
|
||||
wandb.log({"loss": loss}, step=idx)
|
||||
if idx % log_interval == 0:
|
||||
generator.eval()
|
||||
my_sample = generator(my_w, input_is_latent=True)
|
||||
generator.train()
|
||||
my_sample = transforms.ToPILImage()(utils.make_grid(my_sample, normalize=True, range=(-1, 1)))
|
||||
wandb.log(
|
||||
{"Current stylization": [wandb.Image(my_sample)]},
|
||||
step=idx)
|
||||
table_data = [
|
||||
wandb.Image(transforms.ToPILImage()(target_im)),
|
||||
wandb.Image(img),
|
||||
wandb.Image(my_sample),
|
||||
]
|
||||
samples.append(table_data)
|
||||
|
||||
g_optim.zero_grad()
|
||||
loss.backward()
|
||||
g_optim.step()
|
||||
|
||||
out_table = wandb.Table(data=samples, columns=column_names)
|
||||
wandb.log({"Current Samples": out_table})
|
||||
```
|
||||
|
||||
4. Save, Download, and Load Model
|
||||
|
||||
Here's how to save and download your model.
|
||||
|
||||
```python
|
||||
```python
|
||||
|
||||
from PIL import Image
|
||||
import torch
|
||||
torch.backends.cudnn.benchmark = True
|
||||
from torchvision import transforms, utils
|
||||
from util import *
|
||||
import math
|
||||
import random
|
||||
import numpy as np
|
||||
from torch import nn, autograd, optim
|
||||
from torch.nn import functional as F
|
||||
from tqdm import tqdm
|
||||
import lpips
|
||||
from model import *
|
||||
from e4e_projection import projection as e4e_projection
|
||||
from PIL import Image
|
||||
import torch
|
||||
torch.backends.cudnn.benchmark = True
|
||||
from torchvision import transforms, utils
|
||||
from util import *
|
||||
import math
|
||||
import random
|
||||
import numpy as np
|
||||
from torch import nn, autograd, optim
|
||||
from torch.nn import functional as F
|
||||
from tqdm import tqdm
|
||||
import lpips
|
||||
from model import *
|
||||
from e4e_projection import projection as e4e_projection
|
||||
|
||||
from copy import deepcopy
|
||||
import imageio
|
||||
from copy import deepcopy
|
||||
import imageio
|
||||
|
||||
import os
|
||||
import sys
|
||||
import torchvision.transforms as transforms
|
||||
from argparse import Namespace
|
||||
from e4e.models.psp import pSp
|
||||
from util import *
|
||||
from huggingface_hub import hf_hub_download
|
||||
from google.colab import files
|
||||
import os
|
||||
import sys
|
||||
import torchvision.transforms as transforms
|
||||
from argparse import Namespace
|
||||
from e4e.models.psp import pSp
|
||||
from util import *
|
||||
from huggingface_hub import hf_hub_download
|
||||
from google.colab import files
|
||||
|
||||
torch.save({"g": generator.state_dict()}, "your-model-name.pt")
|
||||
torch.save({"g": generator.state_dict()}, "your-model-name.pt")
|
||||
|
||||
files.download('your-model-name.pt')
|
||||
files.download('your-model-name.pt')
|
||||
|
||||
latent_dim = 512
|
||||
device="cuda"
|
||||
model_path_s = hf_hub_download(repo_id="akhaliq/jojogan-stylegan2-ffhq-config-f", filename="stylegan2-ffhq-config-f.pt")
|
||||
original_generator = Generator(1024, latent_dim, 8, 2).to(device)
|
||||
ckpt = torch.load(model_path_s, map_location=lambda storage, loc: storage)
|
||||
original_generator.load_state_dict(ckpt["g_ema"], strict=False)
|
||||
mean_latent = original_generator.mean_latent(10000)
|
||||
latent_dim = 512
|
||||
device="cuda"
|
||||
model_path_s = hf_hub_download(repo_id="akhaliq/jojogan-stylegan2-ffhq-config-f", filename="stylegan2-ffhq-config-f.pt")
|
||||
original_generator = Generator(1024, latent_dim, 8, 2).to(device)
|
||||
ckpt = torch.load(model_path_s, map_location=lambda storage, loc: storage)
|
||||
original_generator.load_state_dict(ckpt["g_ema"], strict=False)
|
||||
mean_latent = original_generator.mean_latent(10000)
|
||||
|
||||
generator = deepcopy(original_generator)
|
||||
generator = deepcopy(original_generator)
|
||||
|
||||
ckpt = torch.load("/content/JoJoGAN/your-model-name.pt", map_location=lambda storage, loc: storage)
|
||||
generator.load_state_dict(ckpt["g"], strict=False)
|
||||
generator.eval()
|
||||
ckpt = torch.load("/content/JoJoGAN/your-model-name.pt", map_location=lambda storage, loc: storage)
|
||||
generator.load_state_dict(ckpt["g"], strict=False)
|
||||
generator.eval()
|
||||
|
||||
plt.rcParams['figure.dpi'] = 150
|
||||
plt.rcParams['figure.dpi'] = 150
|
||||
|
||||
|
||||
|
||||
transform = transforms.Compose(
|
||||
[
|
||||
transforms.Resize((1024, 1024)),
|
||||
transforms.ToTensor(),
|
||||
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
|
||||
]
|
||||
)
|
||||
transform = transforms.Compose(
|
||||
[
|
||||
transforms.Resize((1024, 1024)),
|
||||
transforms.ToTensor(),
|
||||
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
def inference(img):
|
||||
img.save('out.jpg')
|
||||
aligned_face = align_face('out.jpg')
|
||||
def inference(img):
|
||||
img.save('out.jpg')
|
||||
aligned_face = align_face('out.jpg')
|
||||
|
||||
my_w = e4e_projection(aligned_face, "out.pt", device).unsqueeze(0)
|
||||
with torch.no_grad():
|
||||
my_sample = generator(my_w, input_is_latent=True)
|
||||
|
||||
|
||||
npimage = my_sample[0].cpu().permute(1, 2, 0).detach().numpy()
|
||||
imageio.imwrite('filename.jpeg', npimage)
|
||||
return 'filename.jpeg'
|
||||
```
|
||||
my_w = e4e_projection(aligned_face, "out.pt", device).unsqueeze(0)
|
||||
with torch.no_grad():
|
||||
my_sample = generator(my_w, input_is_latent=True)
|
||||
|
||||
|
||||
npimage = my_sample[0].cpu().permute(1, 2, 0).detach().numpy()
|
||||
imageio.imwrite('filename.jpeg', npimage)
|
||||
return 'filename.jpeg'
|
||||
```
|
||||
|
||||
5. Build a Gradio Demo
|
||||
|
||||
```python
|
||||
```python
|
||||
|
||||
import gradio as gr
|
||||
import gradio as gr
|
||||
|
||||
title = "JoJoGAN"
|
||||
description = "Gradio Demo for JoJoGAN: One Shot Face Stylization. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
|
||||
title = "JoJoGAN"
|
||||
description = "Gradio Demo for JoJoGAN: One Shot Face Stylization. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
|
||||
|
||||
demo = gr.Interface(
|
||||
inference,
|
||||
gr.Image(type="pil"),
|
||||
gr.Image(type="file"),
|
||||
title=title,
|
||||
description=description
|
||||
)
|
||||
|
||||
demo.launch(share=True)
|
||||
```
|
||||
demo = gr.Interface(
|
||||
inference,
|
||||
gr.Image(type="pil"),
|
||||
gr.Image(type="file"),
|
||||
title=title,
|
||||
description=description
|
||||
)
|
||||
|
||||
demo.launch(share=True)
|
||||
```
|
||||
|
||||
6. Integrate Gradio into your W&B Dashboard
|
||||
|
||||
The last step—integrating your Gradio demo with your W&B dashboard—is just one extra line:
|
||||
|
||||
```python
|
||||
```python
|
||||
|
||||
demo.integrate(wandb=wandb)
|
||||
```
|
||||
demo.integrate(wandb=wandb)
|
||||
```
|
||||
|
||||
Once you call integrate, a demo will be created and you can integrate it into your dashboard or report
|
||||
|
||||
Outside of W&B with Web components, using the gradio-app tags allows anyone can embed Gradio demos on HF spaces directly into their blogs, websites, documentation, etc.:
|
||||
|
||||
```html
|
||||
|
||||
<gradio-app space="akhaliq/JoJoGAN"> <gradio-app>
|
||||
```
|
||||
```html
|
||||
|
||||
<gradio-app space="akhaliq/JoJoGAN"> </gradio-app>
|
||||
```
|
||||
|
||||
|
||||
7. (Optional) Embed W&B plots in your Gradio App
|
||||
@ -262,20 +336,20 @@ Let's get started!
|
||||
embed them within your Gradio app within a `gr.HTML` block.
|
||||
|
||||
The Report will need to be public and you will need to wrap the URL within an iFrame like this:
|
||||
```python
|
||||
|
||||
import gradio as gr
|
||||
|
||||
def wandb_report(url):
|
||||
iframe = f'<iframe src={url} style="border:none;height:1024px;width:100%">'
|
||||
return gr.HTML(iframe)
|
||||
|
||||
with gr.Blocks() as demo:
|
||||
report_url = 'https://wandb.ai/_scott/pytorch-sweeps-demo/reports/loss-22-10-07-16-00-17---VmlldzoyNzU2NzAx'
|
||||
report = wandb_report(report_url)
|
||||
|
||||
demo.launch(share=True)
|
||||
```
|
||||
```python
|
||||
|
||||
import gradio as gr
|
||||
|
||||
def wandb_report(url):
|
||||
iframe = f'<iframe src={url} style="border:none;height:1024px;width:100%">'
|
||||
return gr.HTML(iframe)
|
||||
|
||||
with gr.Blocks() as demo:
|
||||
report_url = 'https://wandb.ai/_scott/pytorch-sweeps-demo/reports/loss-22-10-07-16-00-17---VmlldzoyNzU2NzAx'
|
||||
report = wandb_report(report_url)
|
||||
|
||||
demo.launch(share=True)
|
||||
```
|
||||
|
||||
|
||||
## Conclusion
|
||||
|
||||
@ -141,7 +141,7 @@ Let's deploy our Gradio app to the free HuggingFace Spaces platform.
|
||||
If you haven't used Spaces before, follow the previous guide [here](/using_hugging_face_integrations).
|
||||
You will have to add the `DB_USER`, `DB_PASSWORD`, and `DB_HOST` variables as "Repo Secrets". You can do this in the "Settings" tab.
|
||||
|
||||
|
||||
|
||||
|
||||
## Conclusion
|
||||
Congratulations! You know how to connect your gradio app to a database hosted on the cloud! ☁️
|
||||
|
||||
@ -17,7 +17,7 @@ We'll cover the following steps in this Guide:
|
||||
|
||||
We'll be working with the [New York Times' COVID dataset](https://www.nytimes.com/interactive/2021/us/covid-cases.html) that is available as a public dataset on BigQuery. The dataset, named `covid19_nyt.us_counties` contains the latest information about the number of confirmed cases and deaths from COVID across US counties.
|
||||
|
||||
**Prerequisites**: This Guide uses [Gradio Blocks](../quickstart/#blocks-more-flexibility-and-control), so make your are familiar with the Blocks class.
|
||||
**Prerequisites**: This Guide uses [Gradio Blocks](/guides/quickstart/#blocks-more-flexibility-and-control), so make your are familiar with the Blocks class.
|
||||
|
||||
## Setting up your BigQuery Credentials
|
||||
|
||||
|
||||
@ -8,7 +8,7 @@ Building the dashboard itself will just be 9 lines of Python code using Gradio,
|
||||
|
||||
<gradio-app space="gradio/line-plot"></gradio-app>
|
||||
|
||||
**Prerequisites**: This Guide uses [Gradio Blocks](../quickstart/#blocks-more-flexibility-and-control), so make you are familiar with the Blocks class.
|
||||
**Prerequisites**: This Guide uses [Gradio Blocks](/guides/quickstart/#blocks-more-flexibility-and-control), so make you are familiar with the Blocks class.
|
||||
|
||||
The process is a little different depending on if you are working with a publicly accessible or a private Google Sheet. We'll cover both, so let's get started!
|
||||
|
||||
|
||||
@ -262,5 +262,5 @@ And that's it! Start uploading videos and you'll get some "acapellified" videos
|
||||
|
||||
|
||||
|
||||
If you'd like to learn more about how to use the Gradio Python Client in your projects, [read the dedicated Guide](/getting-started-with-the-python-client/).
|
||||
If you'd like to learn more about how to use the Gradio Python Client in your projects, [read the dedicated Guide](/guides/getting-started-with-the-python-client/).
|
||||
|
||||
|
||||
@ -162,7 +162,7 @@ gr.Interface(
|
||||
|
||||
The `examples` parameter takes a list of lists, where each item in the sublists is ordered in the same order that we've listed the `inputs`. So in our case, `[seed, num_punks]`. Give it a try!
|
||||
|
||||
You can also try adding a `title`, `description`, and `article` to the `gr.Interface`. Each of those parameters accepts a string, so try it out and see what happens 👀 `article` will also accept HTML, as [explored in a previous guide](./key_features/#descriptive-content)!
|
||||
You can also try adding a `title`, `description`, and `article` to the `gr.Interface`. Each of those parameters accepts a string, so try it out and see what happens 👀 `article` will also accept HTML, as [explored in a previous guide](/guides/key-features/#descriptive-content)!
|
||||
|
||||
When you're all done, you may end up with something like this:
|
||||
|
||||
|
||||
@ -46,7 +46,7 @@ You'll notice that when a user submits their message, we now *chain* three event
|
||||
|
||||
1. The first method `user()` updates the chatbot with the user message and clears the input field. This method also makes the input field non interactive so that the user can't send another message while the chatbot is responding. Because we want this to happen instantly, we set `queue=False`, which would skip any queue had it been enabled. The chatbot's history is appended with `(user_message, None)`, the `None` signifying that the bot has not responded.
|
||||
|
||||
2. The second method, `bot()` updates the chatbot history with the bot's response. Instead of creating a new message, we just replace the previously-created `None` message with the bot's response. Finally, we construct the message character by character and `yield` the intermediate outputs as they are being constructed. Gradio automatically turns any function with the `yield` keyword [into a streaming output interface](/key-features/#iterative-outputs).
|
||||
2. The second method, `bot()` updates the chatbot history with the bot's response. Instead of creating a new message, we just replace the previously-created `None` message with the bot's response. Finally, we construct the message character by character and `yield` the intermediate outputs as they are being constructed. Gradio automatically turns any function with the `yield` keyword [into a streaming output interface](/guides/key-features/#iterative-outputs).
|
||||
|
||||
3. The third method makes the input field interactive again so that users can send another message to the bot.
|
||||
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
Tags: INTERPRETATION, SENTIMENT ANALYSIS
|
||||
|
||||
**Prerequisite**: This Guide requires you to know about Blocks and the interpretation feature of Interfaces.
|
||||
Make sure to [read the Guide to Blocks first](https://gradio.app/quickstart/#blocks-more-flexibility-and-control) as well as the
|
||||
Make sure to [read the Guide to Blocks first](https://gradio.app/guides/quickstart/#blocks-more-flexibility-and-control) as well as the
|
||||
interpretation section of the [Advanced Interface Features Guide](/advanced-interface-features#interpreting-your-predictions).
|
||||
|
||||
## Introduction
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Developing Faster with Auto-Reloading
|
||||
|
||||
**Prerequisite**: This Guide requires you to know about Blocks. Make sure to [read the Guide to Blocks first](https://gradio.app/quickstart/#blocks-more-flexibility-and-control).
|
||||
**Prerequisite**: This Guide requires you to know about Blocks. Make sure to [read the Guide to Blocks first](https://gradio.app/guides/quickstart/#blocks-more-flexibility-and-control).
|
||||
|
||||
This guide covers auto reloading, reloading in a Python IDE, and using gradio with Jupyter Notebooks.
|
||||
|
||||
|
||||
@ -13,7 +13,7 @@ This guide will show you how to build a demo for your 3D image model in a few li
|
||||
|
||||
### Prerequisites
|
||||
|
||||
Make sure you have the `gradio` Python package already [installed](https://gradio.app/quickstart).
|
||||
Make sure you have the `gradio` Python package already [installed](https://gradio.app/guides/quickstart).
|
||||
|
||||
|
||||
## Taking a Look at the Code
|
||||
|
||||
@ -29,7 +29,7 @@ Here's how to build a real time speech recognition (ASR) app:
|
||||
1. [Set up the Transformers ASR Model](#1-set-up-the-transformers-asr-model)
|
||||
2. [Create a Full-Context ASR Demo with Transformers](#2-create-a-full-context-asr-demo-with-transformers)
|
||||
3. [Create a Streaming ASR Demo with Transformers](#3-create-a-streaming-asr-demo-with-transformers)
|
||||
4. [Create a Streaming ASR Demo with DeepSpeech](#4-create-a-streaming-asr-demo-with-deepspeech)
|
||||
4. [Create a Streaming ASR Demo with DeepSpeech](#4-create-a-streaming-asr-demo-with-deep-speech)
|
||||
|
||||
|
||||
## 1. Set up the Transformers ASR Model
|
||||
|
||||
@ -121,7 +121,7 @@ shutil.copyfile("./data/reviews.db", DB_FILE)
|
||||
Note that you'll have to get an access token from the "Settings" tab of your HuggingFace for the above code to work.
|
||||
In the script, the token is securely accessed via an environment variable.
|
||||
|
||||
|
||||
|
||||
|
||||
Now we will create a background task to synch our local database to the dataset hub every 60 seconds.
|
||||
We will use the [AdvancedPythonScheduler](https://apscheduler.readthedocs.io/en/3.x/) to handle the scheduling.
|
||||
|
||||
@ -7,7 +7,7 @@ Let's say that your Gradio demo goes *viral* on social media -- you have lots of
|
||||
|
||||
How can you configure your Gradio demo to handle the most traffic? In this Guide, we dive into some of the parameters of Gradio's `.queue()` method as well as some other related configurations, and discuss how to set these parameters in a way that allows you to serve lots of users simultaneously with minimal latency.
|
||||
|
||||
This is an advanced guide, so make sure you know the basics of Gradio already, such as [how to create and launch a Gradio Interface](https://gradio.app/quickstart/). Most of the information in this Guide is relevant whether you are hosting your demo on [Hugging Face Spaces](https://hf.space) or on your own server.
|
||||
This is an advanced guide, so make sure you know the basics of Gradio already, such as [how to create and launch a Gradio Interface](https://gradio.app/guides/quickstart/). Most of the information in this Guide is relevant whether you are hosting your demo on [Hugging Face Spaces](https://hf.space) or on your own server.
|
||||
|
||||
## Enabling Gradio's Queueing System
|
||||
|
||||
@ -92,7 +92,7 @@ The second function can be used with `batch=True` and an appropriate `max_batch_
|
||||
|
||||
### The `api_open` parameter
|
||||
|
||||
When creating a Gradio demo, you may want to restrict all traffic to happen through the user interface as opposed to the [programmatic API](/sharing_your_app/#api-page) that is automatically created for your Gradio demo. This is important because when people make requests through the programmatic API, they can potentially bypass users who are waiting in the queue and degrade the experience of these users.
|
||||
When creating a Gradio demo, you may want to restrict all traffic to happen through the user interface as opposed to the [programmatic API](/guides/sharing-your-app/#api-page) that is automatically created for your Gradio demo. This is important because when people make requests through the programmatic API, they can potentially bypass users who are waiting in the queue and degrade the experience of these users.
|
||||
|
||||
**Recommendation**: set the `api_open` parameter in `queue()` to `False` in your demo to prevent programmatic requests.
|
||||
|
||||
|
||||
@ -160,7 +160,7 @@ because on Hugging Face Spaces, `allow_flagging` is set to `"never"` by default.
|
||||
|
||||
You can now see all the examples flagged above in this [public Hugging Face dataset](https://huggingface.co/datasets/aliabd/crowdsourced-calculator-demo).
|
||||
|
||||
|
||||
|
||||
|
||||
We created the `gradio.HuggingFaceDatasetSaver` class, but you can pass your own custom class as long as it inherits from `FLaggingCallback` defined in [this file](https://github.com/gradio-app/gradio/blob/master/gradio/flagging.py). If you create a cool callback, contribute it to the repo!
|
||||
|
||||
|
||||
@ -1,25 +1,27 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<style>
|
||||
html {
|
||||
/* background: #111; */
|
||||
/* color: #eee; */
|
||||
font-family: Source Sans Pro;
|
||||
}
|
||||
</style>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="favicon.svg" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<script type="module" src="http://localhost:4321/gradio.js"></script>
|
||||
<!-- <script type="module" src="https://gradio.s3-us-west-2.amazonaws.com/3.18.1b6/gradio.js"></script> -->
|
||||
<!-- <script type="module" src="https://gradio.s3-us-west-2.amazonaws.com/3.18.0/gradio.js"></script> -->
|
||||
<!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.6/iframeResizer.min.js"></script> -->
|
||||
|
||||
<title>Vite App</title>
|
||||
</head>
|
||||
<body>
|
||||
<!-- <h1>Hello title</h1>
|
||||
<head>
|
||||
<style>
|
||||
html {
|
||||
/* background: #111; */
|
||||
/* color: #eee; */
|
||||
font-family: Source Sans Pro;
|
||||
}
|
||||
</style>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="favicon.svg" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<script type="module" src="http://localhost:4321/gradio.js"></script>
|
||||
<!-- <script type="module" src="https://gradio.s3-us-west-2.amazonaws.com/3.18.1b6/gradio.js"></script> -->
|
||||
<!-- <script type="module" src="https://gradio.s3-us-west-2.amazonaws.com/3.18.0/gradio.js"></script> -->
|
||||
<!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.6/iframeResizer.min.js"></script> -->
|
||||
|
||||
<title>Vite App</title>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<!-- <h1>Hello title</h1>
|
||||
<h2>hello subtitle</h2>
|
||||
<p>
|
||||
Hello text. Hello text. Hello text. Hello text. Hello text. Hello text.
|
||||
@ -158,15 +160,15 @@
|
||||
Hello text. Hello text. Hello text. Hello text. Hello text. Hello text.
|
||||
Hello text. Hello text.
|
||||
</p> -->
|
||||
<!-- https://huggingface.co/spaces/freddyaboulton/blocks-essay -->
|
||||
<!-- <gradio-app
|
||||
<!-- https://huggingface.co/spaces/freddyaboulton/blocks-essay -->
|
||||
<!-- <gradio-app
|
||||
space="freddyaboulton/timeseries-forecasting-with-prophet
|
||||
"
|
||||
></gradio-app> -->
|
||||
<!-- -->
|
||||
<!-- </p> -->
|
||||
<!-- -->
|
||||
<!-- </p> -->
|
||||
|
||||
<!-- <gradio-app space="awacke1/GradioAutoPlotFromCSV" info="false"></gradio-app>
|
||||
<!-- <gradio-app space="awacke1/GradioAutoPlotFromCSV" info="false"></gradio-app>
|
||||
<gradio-app
|
||||
space="gradio/plot_component_main"
|
||||
initial_height="400px"
|
||||
@ -278,42 +280,39 @@
|
||||
<h2>Working</h2>
|
||||
-->
|
||||
|
||||
<gradio-app
|
||||
space="gradio/live_with_vars"
|
||||
initial_height="200px"
|
||||
control_page_title="true"
|
||||
></gradio-app>
|
||||
<!-- <iframe
|
||||
<gradio-app space="gradio/live_with_vars" initial_height="200px" control_page_title="true"></gradio-app>
|
||||
<!-- <iframe
|
||||
id="myIframe"
|
||||
allow="accelerometer; ambient-light-sensor; autoplay; battery; camera; document-domain; encrypted-media; fullscreen; geolocation; gyroscope; layout-animations; legacy-image-formats; magnetometer; microphone; midi; oversized-images; payment; picture-in-picture; publickey-credentials-get; sync-xhr; usb; vr ; wake-lock; xr-spatial-tracking"
|
||||
src="http://127.0.0.1:7860/"
|
||||
frameborder="0"
|
||||
></iframe> -->
|
||||
<button>Toggle Space</button>
|
||||
<script>
|
||||
// iFrameResize(
|
||||
// {
|
||||
// log: false,
|
||||
// checkOrigin: false,
|
||||
// heightCalculationMethod: "lowestElement"
|
||||
// },
|
||||
// "#myIframe"
|
||||
// );
|
||||
<button>Toggle Space</button>
|
||||
<script>
|
||||
// iFrameResize(
|
||||
// {
|
||||
// log: false,
|
||||
// checkOrigin: false,
|
||||
// heightCalculationMethod: "lowestElement"
|
||||
// },
|
||||
// "#myIframe"
|
||||
// );
|
||||
|
||||
let spaces = [
|
||||
"gradio/live_with_vars",
|
||||
"gradio/colorpicker_component_main"
|
||||
];
|
||||
let spaces = [
|
||||
"gradio/live_with_vars",
|
||||
"gradio/colorpicker_component_main"
|
||||
];
|
||||
|
||||
const b = document.getElementsByTagName("button")[0];
|
||||
b.addEventListener("click", update_space);
|
||||
const b = document.getElementsByTagName("button")[0];
|
||||
b.addEventListener("click", update_space);
|
||||
|
||||
function update_space() {
|
||||
const g = document.getElementsByTagName("gradio-app")[0];
|
||||
g.setAttribute("space", spaces[1]);
|
||||
const [_old, _new] = spaces;
|
||||
spaces = [_new, _old];
|
||||
}
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
function update_space() {
|
||||
const g = document.getElementsByTagName("gradio-app")[0];
|
||||
g.setAttribute("space", spaces[1]);
|
||||
const [_old, _new] = spaces;
|
||||
spaces = [_new, _old];
|
||||
}
|
||||
</script>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
8
js/_website/.gitignore
vendored
Normal file
8
js/_website/.gitignore
vendored
Normal file
@ -0,0 +1,8 @@
|
||||
.DS_Store
|
||||
node_modules
|
||||
/build
|
||||
/.svelte-kit
|
||||
/package
|
||||
.env
|
||||
.env.*
|
||||
!.env.example
|
||||
1
js/_website/.npmrc
Normal file
1
js/_website/.npmrc
Normal file
@ -0,0 +1 @@
|
||||
engine-strict=true
|
||||
38
js/_website/README.md
Normal file
38
js/_website/README.md
Normal file
@ -0,0 +1,38 @@
|
||||
# create-svelte
|
||||
|
||||
Everything you need to build a Svelte project, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/master/packages/create-svelte).
|
||||
|
||||
## Creating a project
|
||||
|
||||
If you're seeing this, you've probably already done this step. Congrats!
|
||||
|
||||
```bash
|
||||
# create a new project in the current directory
|
||||
npm create svelte@latest
|
||||
|
||||
# create a new project in my-app
|
||||
npm create svelte@latest my-app
|
||||
```
|
||||
|
||||
## Developing
|
||||
|
||||
Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server:
|
||||
|
||||
```bash
|
||||
npm run dev
|
||||
|
||||
# or start the server and open the app in a new browser tab
|
||||
npm run dev -- --open
|
||||
```
|
||||
|
||||
## Building
|
||||
|
||||
To create a production version of your app:
|
||||
|
||||
```bash
|
||||
npm run build
|
||||
```
|
||||
|
||||
You can preview the production build with `npm run preview`.
|
||||
|
||||
> To deploy your app, you may need to install an [adapter](https://kit.svelte.dev/docs/adapters) for your target environment.
|
||||
21
js/_website/generate_jsons/generate.py
Normal file
21
js/_website/generate_jsons/generate.py
Normal file
@ -0,0 +1,21 @@
|
||||
from src import demos, guides, docs, changelog
|
||||
import os
|
||||
import requests
|
||||
import json
|
||||
|
||||
WEBSITE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
|
||||
|
||||
def make_dir(root, path):
|
||||
return os.path.abspath(os.path.join(root, path))
|
||||
|
||||
def get_latest_release():
|
||||
with open(make_dir(WEBSITE_DIR, "src/routes/version.json"), "w+") as j:
|
||||
json.dump({
|
||||
"version": requests.get("https://pypi.org/pypi/gradio/json").json()["info"]["version"]
|
||||
}, j)
|
||||
|
||||
demos.generate(make_dir(WEBSITE_DIR, "src/routes/demos/demos.json"))
|
||||
guides.generate(make_dir(WEBSITE_DIR, "src/routes/guides/json/") + "/")
|
||||
docs.generate(make_dir(WEBSITE_DIR, "src/routes/docs/docs.json"))
|
||||
changelog.generate(make_dir(WEBSITE_DIR, "src/routes/changelog/changelog.json"))
|
||||
get_latest_release()
|
||||
29
js/_website/generate_jsons/src/changelog/__init__.py
Normal file
29
js/_website/generate_jsons/src/changelog/__init__.py
Normal file
@ -0,0 +1,29 @@
|
||||
import os
|
||||
import json
|
||||
import re
|
||||
|
||||
DIR = os.path.dirname(__file__)
|
||||
CHANGELOG_FILE = os.path.abspath(os.path.join(DIR, "../../../../../CHANGELOG.md"))
|
||||
|
||||
|
||||
def clean():
|
||||
with open(CHANGELOG_FILE, "r") as change_file:
|
||||
content = change_file.read()
|
||||
|
||||
# remove empty/unused sections
|
||||
content = re.sub(r"## [\w^:\n ]*No changes to highlight.", "", content)
|
||||
|
||||
# get versions and their correct href
|
||||
versions = re.findall(r"# Version \d\.\d[^\n ]*", content)
|
||||
versions = [("Upcoming Release", "upcoming-release")] + [("v" + v.strip("# Version "), "version-" + v.strip("# Version ").replace('.','')) for v in versions]
|
||||
|
||||
return content, versions
|
||||
|
||||
|
||||
def generate(json_path):
|
||||
content, versions = clean()
|
||||
with open(json_path, 'w+') as f:
|
||||
json.dump({
|
||||
"content": content,
|
||||
"versions": versions
|
||||
}, f)
|
||||
147
js/_website/generate_jsons/src/demos/__init__.py
Normal file
147
js/_website/generate_jsons/src/demos/__init__.py
Normal file
@ -0,0 +1,147 @@
|
||||
import os
|
||||
import json
|
||||
|
||||
DIR = os.path.dirname(__file__)
|
||||
GRADIO_DEMO_DIR = os.path.abspath(os.path.join(DIR, "../../../../../demo/"))
|
||||
|
||||
def get_code_and_description(demo_name):
|
||||
with open(os.path.join(GRADIO_DEMO_DIR, demo_name, "run.py")) as f:
|
||||
code = f.read()
|
||||
with open(os.path.join(GRADIO_DEMO_DIR, demo_name, "DESCRIPTION.md")) as f:
|
||||
description = f.read()
|
||||
return code, description
|
||||
|
||||
|
||||
demos_by_category = [
|
||||
{
|
||||
"category": "🖊️ Text & Natural Language Processing",
|
||||
"demos": [
|
||||
{
|
||||
"name": "Hello World",
|
||||
"dir": "hello_world",
|
||||
},
|
||||
{
|
||||
"name": "Text Generation",
|
||||
"dir": "text_generation",
|
||||
},
|
||||
{
|
||||
"name": "Autocomplete",
|
||||
"dir": "autocomplete",
|
||||
},
|
||||
{
|
||||
"name": "Sentiment Analysis",
|
||||
"dir": "sentiment_analysis",
|
||||
},
|
||||
{
|
||||
"name": "Named Entity Recognition",
|
||||
"dir": "text_analysis",
|
||||
},
|
||||
{
|
||||
"name": "Multilingual Translation",
|
||||
"dir": "translation",
|
||||
}
|
||||
|
||||
]
|
||||
},
|
||||
{
|
||||
"category": "🖼️ Images & Computer Vision",
|
||||
"demos": [
|
||||
{
|
||||
"name": "Image Classification",
|
||||
"dir": "image_classification",
|
||||
},
|
||||
{
|
||||
"name": "Image Segmentation",
|
||||
"dir": "image_segmentation",
|
||||
},
|
||||
{
|
||||
"name": "Image Transformation with AnimeGAN",
|
||||
"dir": "animeganv2",
|
||||
},
|
||||
{
|
||||
"name": "Image Generation (Fake GAN)",
|
||||
"dir": "fake_gan",
|
||||
},
|
||||
{
|
||||
"name": "Iterative Output",
|
||||
"dir": "fake_diffusion",
|
||||
},
|
||||
{
|
||||
"name": "3D Models",
|
||||
"dir": "depth_estimation",
|
||||
},
|
||||
]
|
||||
},
|
||||
{
|
||||
"category": "📈 Tabular Data & Plots",
|
||||
"demos": [
|
||||
{
|
||||
"name": "Interactive Dashboard",
|
||||
"dir": "dashboard"
|
||||
},
|
||||
{
|
||||
"name": "Dashboard with Live Updates",
|
||||
"dir": "live_dashboard"
|
||||
},
|
||||
{
|
||||
"name": "Interactive Map of AirBnB Locations",
|
||||
"dir": "map_airbnb"
|
||||
},
|
||||
{
|
||||
"name": "Outbreak Forecast",
|
||||
"dir": "outbreak_forecast",
|
||||
},
|
||||
{
|
||||
"name": "Clustering with Scikit-Learn",
|
||||
"dir": "clustering",
|
||||
},
|
||||
{
|
||||
"name": "Time Series Forecasting",
|
||||
"dir": "timeseries-forecasting-with-prophet",
|
||||
},
|
||||
{
|
||||
"name": "Income Classification with XGBoost",
|
||||
"dir": "xgboost-income-prediction-with-explainability",
|
||||
},
|
||||
{
|
||||
"name": "Leaderboard",
|
||||
"dir": "leaderboard",
|
||||
},
|
||||
{
|
||||
"name": "Tax Calculator",
|
||||
"dir": "tax_calculator",
|
||||
},
|
||||
]
|
||||
},
|
||||
{
|
||||
"category": "🎤 Audio & Speech",
|
||||
"demos": [
|
||||
{
|
||||
"name": "Text to Speech",
|
||||
"dir": "neon-tts-plugin-coqui",
|
||||
},
|
||||
{
|
||||
"name": "Speech to Text (ASR)",
|
||||
"dir": "automatic-speech-recognition",
|
||||
},
|
||||
{
|
||||
"name": "Musical Instrument Identification",
|
||||
"dir": "musical_instrument_identification",
|
||||
},
|
||||
{
|
||||
"name": "Speaker Verification",
|
||||
"dir": "same-person-or-different",
|
||||
},
|
||||
]
|
||||
},
|
||||
]
|
||||
|
||||
for category in demos_by_category:
|
||||
for demo in category["demos"]:
|
||||
code, description = get_code_and_description(demo["dir"])
|
||||
demo["code"] = code
|
||||
demo["text"] = description
|
||||
|
||||
def generate(json_path):
|
||||
with open(json_path, 'w+') as f:
|
||||
json.dump(demos_by_category, f)
|
||||
282
js/_website/generate_jsons/src/docs/__init__.py
Normal file
282
js/_website/generate_jsons/src/docs/__init__.py
Normal file
@ -0,0 +1,282 @@
|
||||
import json
|
||||
import os
|
||||
from gradio_client.documentation import generate_documentation, document_cls
|
||||
from gradio.events import EventListener
|
||||
from ..guides import guides
|
||||
|
||||
DIR = os.path.dirname(__file__)
|
||||
DEMOS_DIR = os.path.abspath(os.path.join(DIR, "../../../../../demo"))
|
||||
JS_CLIENT_README = os.path.abspath(os.path.join(DIR, "../../../../../client/js/README.md"))
|
||||
|
||||
docs = generate_documentation()
|
||||
docs["component"].sort(key=lambda x: x["name"])
|
||||
|
||||
|
||||
def add_component_shortcuts():
|
||||
for component in docs["component"]:
|
||||
if not getattr(component["class"], "allow_string_shortcut", True):
|
||||
continue
|
||||
component["string_shortcuts"] = [
|
||||
(
|
||||
component["class"].__name__,
|
||||
component["name"].lower(),
|
||||
"Uses default values",
|
||||
)
|
||||
]
|
||||
for subcls in component["class"].__subclasses__():
|
||||
if getattr(subcls, "is_template", False):
|
||||
_, tags, _ = document_cls(subcls)
|
||||
component["string_shortcuts"].append(
|
||||
(
|
||||
subcls.__name__,
|
||||
subcls.__name__.lower(),
|
||||
"Uses " + tags.get("sets", "default values"),
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
add_component_shortcuts()
|
||||
|
||||
|
||||
def add_demos():
|
||||
for mode in docs:
|
||||
for cls in docs[mode]:
|
||||
if "demos" not in cls["tags"]:
|
||||
continue
|
||||
cls["demos"] = []
|
||||
demos = [demo.strip() for demo in cls["tags"]["demos"].split(",")]
|
||||
for demo in demos:
|
||||
demo_file = os.path.join(DEMOS_DIR, demo, "run.py")
|
||||
with open(demo_file) as run_py:
|
||||
demo_code = run_py.read()
|
||||
cls["demos"].append((demo, demo_code))
|
||||
|
||||
|
||||
add_demos()
|
||||
|
||||
ordered_events = [
|
||||
"Change()",
|
||||
"Click()",
|
||||
"Submit()",
|
||||
"Edit()",
|
||||
"Clear()",
|
||||
"Play()",
|
||||
"Pause()",
|
||||
"Stream()",
|
||||
"Blur()",
|
||||
"Upload()",
|
||||
]
|
||||
|
||||
|
||||
def add_supported_events():
|
||||
for component in docs["component"]:
|
||||
component["events_list"] = []
|
||||
event_listener_props = dir(EventListener)
|
||||
for listener in EventListener.__subclasses__():
|
||||
if not issubclass(component["class"], listener):
|
||||
continue
|
||||
for prop in dir(listener):
|
||||
if prop not in event_listener_props:
|
||||
component["events_list"].append(prop + "()")
|
||||
if component["events_list"]:
|
||||
component["events"] = ", ".join(component["events_list"])
|
||||
|
||||
|
||||
add_supported_events()
|
||||
|
||||
|
||||
def add_guides():
|
||||
for mode in docs:
|
||||
for cls in docs[mode]:
|
||||
if "guides" not in cls["tags"]:
|
||||
continue
|
||||
cls["guides"] = []
|
||||
docstring_guides = [
|
||||
guide.strip() for guide in cls["tags"]["guides"].split(",")
|
||||
]
|
||||
for docstring_guide in docstring_guides:
|
||||
for guide in guides:
|
||||
if docstring_guide == guide["name"]:
|
||||
cls["guides"].append(guide)
|
||||
|
||||
|
||||
add_guides()
|
||||
|
||||
|
||||
def style_types():
|
||||
for mode in docs:
|
||||
for cls in docs[mode]:
|
||||
for tag in [
|
||||
"preprocessing",
|
||||
"postprocessing",
|
||||
"examples-format",
|
||||
"events",
|
||||
]:
|
||||
if tag not in cls["tags"]:
|
||||
continue
|
||||
cls[tag] = (
|
||||
cls["tags"][tag]
|
||||
.replace(
|
||||
"{",
|
||||
"<span class='text-orange-500' style='font-family: monospace; font-size: large;' >",
|
||||
)
|
||||
.replace("}", "</span>")
|
||||
)
|
||||
|
||||
|
||||
style_types()
|
||||
|
||||
|
||||
def override_signature(name, signature):
|
||||
for mode in docs:
|
||||
for cls in docs[mode]:
|
||||
if cls["name"] == name:
|
||||
cls["override_signature"] = signature
|
||||
|
||||
|
||||
override_signature("Blocks", "with gradio.Blocks():")
|
||||
override_signature("Row", "with gradio.Row():")
|
||||
override_signature("Column", "with gradio.Column():")
|
||||
override_signature("Tab", "with gradio.Tab():")
|
||||
override_signature("Group", "with gradio.Group():")
|
||||
override_signature("Box", "with gradio.Box():")
|
||||
override_signature("Dataset", "gr.Dataset(components, samples)")
|
||||
|
||||
|
||||
def find_cls(target_cls):
|
||||
for mode in docs:
|
||||
for cls in docs[mode]:
|
||||
if cls["name"] == target_cls:
|
||||
return cls
|
||||
raise ValueError("Class not found")
|
||||
|
||||
|
||||
def organize_docs(d):
|
||||
organized = {
|
||||
"building": {},
|
||||
"components": {},
|
||||
"helpers": {},
|
||||
"routes": {},
|
||||
"events": {},
|
||||
"py-client": {},
|
||||
}
|
||||
pages = []
|
||||
for mode in d:
|
||||
for c in d[mode]:
|
||||
c["parent"] = "gradio"
|
||||
c["class"] = None
|
||||
if "returns" in c:
|
||||
c["returns"]["annotation"] = None
|
||||
for p in c.get("parameters", []):
|
||||
p["annotation"] = str(p["annotation"])
|
||||
if "default" in p:
|
||||
p["default"] = str(p["default"])
|
||||
for f in c["fns"]:
|
||||
f["fn"] = None
|
||||
f["parent"] = "gradio." + c["name"]
|
||||
for p in f.get("parameters", []):
|
||||
p["annotation"] = str(p["annotation"])
|
||||
if "default" in p:
|
||||
p["default"] = str(p["default"])
|
||||
if mode == "component":
|
||||
organized["components"][c["name"].lower()] = c
|
||||
pages.append(c["name"].lower())
|
||||
elif mode in ["helpers", "routes", "py-client"]:
|
||||
organized[mode][c["name"].lower()] = c
|
||||
pages.append(c["name"].lower())
|
||||
else:
|
||||
# if mode not in organized["building"]:
|
||||
# organized["building"][mode] = {}
|
||||
organized["building"][c["name"].lower()] = c
|
||||
pages.append(c["name"].lower())
|
||||
|
||||
c_keys = list(organized["components"].keys())
|
||||
for i, cls in enumerate(organized["components"]):
|
||||
if not i:
|
||||
organized["components"][cls]["prev_obj"] = "Components"
|
||||
organized["components"][cls]["next_obj"] = organized["components"][
|
||||
c_keys[1]
|
||||
]["name"]
|
||||
elif i == len(c_keys) - 1:
|
||||
organized["components"][cls]["prev_obj"] = organized["components"][
|
||||
c_keys[len(c_keys) - 2]
|
||||
]["name"]
|
||||
organized["components"][cls]["next_obj"] = "Examples"
|
||||
else:
|
||||
organized["components"][cls]["prev_obj"] = organized["components"][
|
||||
c_keys[i - 1]
|
||||
]["name"]
|
||||
organized["components"][cls]["next_obj"] = organized["components"][
|
||||
c_keys[i + 1]
|
||||
]["name"]
|
||||
c_keys = list(organized["helpers"].keys())
|
||||
for i, cls in enumerate(organized["helpers"]):
|
||||
if not i:
|
||||
organized["helpers"][cls]["prev_obj"] = "Video"
|
||||
organized["helpers"][cls]["next_obj"] = organized["helpers"][c_keys[1]][
|
||||
"name"
|
||||
]
|
||||
elif i == len(c_keys) - 1:
|
||||
organized["helpers"][cls]["prev_obj"] = organized["helpers"][
|
||||
c_keys[len(c_keys) - 2]
|
||||
]["name"]
|
||||
organized["helpers"][cls]["next_obj"] = "Request"
|
||||
else:
|
||||
organized["helpers"][cls]["prev_obj"] = organized["helpers"][c_keys[i - 1]][
|
||||
"name"
|
||||
]
|
||||
organized["helpers"][cls]["next_obj"] = organized["helpers"][c_keys[i + 1]][
|
||||
"name"
|
||||
]
|
||||
c_keys = list(organized["routes"].keys())
|
||||
for i, cls in enumerate(organized["routes"]):
|
||||
if not i:
|
||||
organized["routes"][cls]["prev_obj"] = "make_waveform"
|
||||
organized["routes"][cls]["next_obj"] = organized["routes"][c_keys[1]][
|
||||
"name"
|
||||
]
|
||||
elif i == len(c_keys) - 1:
|
||||
organized["routes"][cls]["prev_obj"] = organized["routes"][
|
||||
c_keys[len(c_keys) - 2]
|
||||
]["name"]
|
||||
organized["routes"][cls]["next_obj"] = "Python-Client"
|
||||
else:
|
||||
organized["routes"][cls]["prev_obj"] = organized["routes"][c_keys[i - 1]][
|
||||
"name"
|
||||
]
|
||||
organized["routes"][cls]["next_obj"] = organized["routes"][c_keys[i + 1]][
|
||||
"name"
|
||||
]
|
||||
c_keys = list(organized["py-client"].keys())
|
||||
for i, cls in enumerate(organized["py-client"]):
|
||||
if not i:
|
||||
organized["py-client"][cls]["prev_obj"] = "Python-Client"
|
||||
organized["py-client"][cls]["next_obj"] = organized["py-client"][c_keys[1]][
|
||||
"name"
|
||||
]
|
||||
elif i == len(c_keys) - 1:
|
||||
organized["py-client"][cls]["prev_obj"] = organized["py-client"][
|
||||
c_keys[len(c_keys) - 2]
|
||||
]["name"]
|
||||
organized["py-client"][cls]["next_obj"] = "JS-Client"
|
||||
else:
|
||||
organized["py-client"][cls]["prev_obj"] = organized["py-client"][
|
||||
c_keys[i - 1]
|
||||
]["name"]
|
||||
organized["py-client"][cls]["next_obj"] = organized["py-client"][
|
||||
c_keys[i + 1]
|
||||
]["name"]
|
||||
|
||||
organized["ordered_events"] = ordered_events
|
||||
|
||||
with open(JS_CLIENT_README, "r") as f:
|
||||
readme_content = f.read()
|
||||
return {"docs": organized, "pages": pages, "js_client": readme_content}
|
||||
|
||||
|
||||
docs = organize_docs(docs)
|
||||
|
||||
|
||||
def generate(json_path):
|
||||
with open(json_path, "w+") as f:
|
||||
json.dump(docs, f)
|
||||
162
js/_website/generate_jsons/src/guides/__init__.py
Normal file
162
js/_website/generate_jsons/src/guides/__init__.py
Normal file
@ -0,0 +1,162 @@
|
||||
import os
|
||||
import markdown2
|
||||
import shutil
|
||||
import re
|
||||
import json
|
||||
|
||||
DIR = os.path.dirname(__file__)
|
||||
GUIDES_DIR = os.path.abspath(os.path.join(DIR, "../../../../../guides"))
|
||||
GUIDE_ASSETS_DIR = os.path.join(GUIDES_DIR, "assets")
|
||||
DEMOS_DIR = os.path.abspath(os.path.join(DIR, "../../../../../demo"))
|
||||
|
||||
|
||||
UNDERSCORE_TOKEN = "!UNDERSCORE!"
|
||||
|
||||
demos = {}
|
||||
for demo_folder in os.listdir(DEMOS_DIR):
|
||||
runfile = os.path.join(DEMOS_DIR, demo_folder, "run.py")
|
||||
if not os.path.exists(runfile):
|
||||
continue
|
||||
with open(runfile) as run_py:
|
||||
demos[demo_folder] = run_py.read().replace(
|
||||
'if __name__ == "__main__":\n demo.launch()', "demo.launch()"
|
||||
)
|
||||
|
||||
|
||||
def format_name(guide_name):
|
||||
index = None
|
||||
if re.match("^[0-9]+_", guide_name):
|
||||
index = int(guide_name[: guide_name.index("_")])
|
||||
guide_name = guide_name[guide_name.index("_") + 1 :]
|
||||
if guide_name.lower().endswith(".md"):
|
||||
guide_name = guide_name[:-3]
|
||||
pretty_guide_name = " ".join([word[0].upper() + word[1:] for word in guide_name.split("-")])
|
||||
return index, guide_name, pretty_guide_name
|
||||
|
||||
|
||||
guide_folders = sorted(os.listdir(GUIDES_DIR))
|
||||
guide_folders.remove("CONTRIBUTING.md")
|
||||
guide_folders.remove("assets")
|
||||
|
||||
guides = []
|
||||
guides_by_category = []
|
||||
guide_names = []
|
||||
guide_urls = []
|
||||
absolute_index = 0
|
||||
for guide_folder in guide_folders:
|
||||
guide_list = sorted(os.listdir(os.path.join(GUIDES_DIR, guide_folder)))
|
||||
_, guide_category, pretty_guide_category = format_name(guide_folder)
|
||||
guides_by_category.append({"category": pretty_guide_category, "guides": []})
|
||||
guide_names.append({"category": pretty_guide_category, "guides": []})
|
||||
for guide_file in guide_list:
|
||||
guide_index, guide_name, pretty_guide_name = format_name(guide_file)
|
||||
with open(os.path.join(GUIDES_DIR, guide_folder, guide_file), "r") as f:
|
||||
guide_content = f.read()
|
||||
|
||||
title = guide_content.split("\n")[0]
|
||||
|
||||
metadata_labels = []
|
||||
|
||||
def get_labeled_metadata(label, is_list=True):
|
||||
metadata_labels.append(label)
|
||||
full_label = label + " "
|
||||
metadata = [] if is_list else None
|
||||
if full_label in guide_content:
|
||||
metadata = guide_content.split(full_label)[1].split("\n")[0]
|
||||
if is_list:
|
||||
metadata = metadata.split(", ")
|
||||
return metadata
|
||||
|
||||
tags = get_labeled_metadata("Tags:")
|
||||
spaces = get_labeled_metadata("Related spaces:")
|
||||
contributor = get_labeled_metadata("Contributed by", is_list=False)
|
||||
|
||||
url = f"/guides/{guide_name}/"
|
||||
|
||||
guide_content = re.sub(
|
||||
r"\$code_([a-z _\-0-9]+)",
|
||||
lambda x: f"```python\n{demos[x.group(1)]}\n```",
|
||||
guide_content,
|
||||
)
|
||||
guide_content = re.sub(
|
||||
r"\$demo_([a-z _\-0-9]+)",
|
||||
lambda x: f"<gradio-app space='gradio/{x.group(1)}'></gradio-app>",
|
||||
guide_content,
|
||||
)
|
||||
|
||||
content_no_html = guide_content
|
||||
|
||||
guide_content = "\n".join(
|
||||
[
|
||||
line
|
||||
for i, line in enumerate(guide_content.split("\n"))
|
||||
if not any([line.startswith(label) for label in metadata_labels])
|
||||
]
|
||||
)
|
||||
guide_content = re.sub(
|
||||
r"```([a-z]+)\n",
|
||||
lambda x: f"<div class='codeblock'><pre><code class='lang-{x.group(1)}'>",
|
||||
guide_content,
|
||||
)
|
||||
guide_content = re.sub(r"```", "</code></pre></div>", guide_content)
|
||||
guide_content = re.sub(
|
||||
r"\$code_([a-z _\-0-9]+)",
|
||||
lambda x: f"<div class='codeblock'><pre><code class='lang-python'>{demos[x.group(1)]}</code></pre></div>",
|
||||
guide_content,
|
||||
)
|
||||
guide_content = re.sub(
|
||||
r"\$demo_([a-z _\-0-9]+)",
|
||||
lambda x: f"<gradio-app space='gradio/{x.group(1).replace('_', UNDERSCORE_TOKEN)}' />",
|
||||
guide_content,
|
||||
)
|
||||
guide_html = markdown2.markdown(
|
||||
guide_content,
|
||||
extras=[
|
||||
"target-blank-links",
|
||||
"header-ids",
|
||||
"tables",
|
||||
"fenced-code-blocks",
|
||||
],
|
||||
).replace(UNDERSCORE_TOKEN, "_")
|
||||
|
||||
|
||||
guide_data = {
|
||||
"name": guide_name,
|
||||
"category": guide_category,
|
||||
"pretty_category": pretty_guide_category,
|
||||
"guide_index": guide_index,
|
||||
"absolute_index": absolute_index,
|
||||
"pretty_name": pretty_guide_name,
|
||||
"content": content_no_html,
|
||||
"html": guide_html,
|
||||
"tags": tags,
|
||||
"spaces": spaces,
|
||||
"url": url,
|
||||
"contributor": contributor,
|
||||
}
|
||||
guides.append(guide_data)
|
||||
guides_by_category[-1]["guides"].append(guide_data)
|
||||
guide_names[-1]["guides"].append({"name": guide_name, "pretty_name": pretty_guide_name, "url": url})
|
||||
guide_urls.append(guide_name)
|
||||
absolute_index += 1
|
||||
|
||||
|
||||
def generate(json_path):
|
||||
if not os.path.isdir(json_path):
|
||||
os.mkdir(json_path)
|
||||
with open(json_path + "guides_by_category.json", 'w+') as f:
|
||||
json.dump({
|
||||
"guides_by_category": guides_by_category,
|
||||
}, f)
|
||||
for guide in guides:
|
||||
with open(json_path + guide["name"] + ".json", 'w+') as f:
|
||||
json.dump({
|
||||
"guide": guide
|
||||
}, f)
|
||||
with open(json_path + "guide_names.json", 'w+') as f:
|
||||
json.dump({
|
||||
"guide_names": guide_names,
|
||||
"guide_urls": guide_urls
|
||||
}, f)
|
||||
|
||||
|
||||
36
js/_website/package.json
Normal file
36
js/_website/package.json
Normal file
@ -0,0 +1,36 @@
|
||||
{
|
||||
"name": "website",
|
||||
"version": "0.0.1",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "vite dev",
|
||||
"build": "vite build",
|
||||
"preview": "vite preview",
|
||||
"check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
|
||||
"check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch",
|
||||
"prepare": "svelte-kit sync"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@sveltejs/adapter-auto": "^2.0.0",
|
||||
"@sveltejs/adapter-static": "^2.0.2",
|
||||
"@sveltejs/kit": "^1.5.0",
|
||||
"@tailwindcss/forms": "^0.5.0",
|
||||
"@tailwindcss/typography": "^0.5.4",
|
||||
"@types/node": "^20.3.2",
|
||||
"@types/prismjs": "^1.26.0",
|
||||
"prismjs": "1.29.0",
|
||||
"svelte": "^3.59.2",
|
||||
"svelte-check": "^3.0.1",
|
||||
"tailwindcss": "^3.1.6",
|
||||
"tslib": "^2.4.1",
|
||||
"typescript": "^4.9.3",
|
||||
"vite": "^4.3.9"
|
||||
},
|
||||
"type": "module",
|
||||
"dependencies": {
|
||||
"@sindresorhus/slugify": "^2.2.0",
|
||||
"hast-util-to-string": "^2.0.0",
|
||||
"mdsvex": "^0.10.6",
|
||||
"postcss": ">=8.3.3 <9.0.0"
|
||||
}
|
||||
}
|
||||
4
js/_website/postcss.config.cjs
Normal file
4
js/_website/postcss.config.cjs
Normal file
@ -0,0 +1,4 @@
|
||||
module.exports = {
|
||||
extract: "themes.css",
|
||||
plugins: [require("tailwindcss/nesting"), require("tailwindcss")]
|
||||
};
|
||||
15
js/_website/src/app.d.ts
vendored
Normal file
15
js/_website/src/app.d.ts
vendored
Normal file
@ -0,0 +1,15 @@
|
||||
// See https://kit.svelte.dev/docs/types#app
|
||||
// for information about these interfaces
|
||||
declare global {
|
||||
namespace App {
|
||||
// interface Error {}
|
||||
// interface Locals {}
|
||||
// interface PageData {}
|
||||
// interface Platform {}
|
||||
}
|
||||
}
|
||||
|
||||
declare module "*.json"
|
||||
|
||||
|
||||
export { };
|
||||
13
js/_website/src/app.html
Normal file
13
js/_website/src/app.html
Normal file
@ -0,0 +1,13 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8" />
|
||||
<link rel="icon" href="%sveltekit.assets%/favicon.png" />
|
||||
<meta name="viewport" content="width=device-width" />
|
||||
%sveltekit.head%
|
||||
</head>
|
||||
<body data-sveltekit-preload-data="hover">
|
||||
<div style="display: contents">%sveltekit.body%</div>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
4
js/_website/src/assets/copy.js
Normal file
4
js/_website/src/assets/copy.js
Normal file
@ -0,0 +1,4 @@
|
||||
export const svgCopy =
|
||||
'<svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true"><path fill-rule="evenodd" d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z"></path><path fill-rule="evenodd" d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z"></path></svg>';
|
||||
export const svgCheck =
|
||||
'<svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true"><path fill-rule="evenodd" fill="rgb(255, 124, 1)" d="M13.78 4.22a.75.75 0 010 1.06l-7.25 7.25a.75.75 0 01-1.06 0L2.22 9.28a.75.75 0 011.06-1.06L6 10.94l6.72-6.72a.75.75 0 011.06 0z"></path></svg>';
|
||||
20
js/_website/src/assets/demo_code.js
Normal file
20
js/_website/src/assets/demo_code.js
Normal file
@ -0,0 +1,20 @@
|
||||
export const sketch = `<pre class="language-python"><code class="language-python"><span class="token keyword">import</span> gradio <span class="token keyword">as</span> gr
|
||||
<span class="token keyword">def</span> <span class="token function">sketch_recognition</span><span class="token punctuation">(</span>img<span class="token punctuation">)</span><span class="token punctuation">:</span>
|
||||
<span class="token keyword">pass</span><span class="token comment"># Implement your sketch recognition model here...</span>
|
||||
|
||||
gr<span class="token punctuation">.</span>Interface<span class="token punctuation">(</span>fn<span class="token operator">=</span>sketch_recognition<span class="token punctuation">,</span> inputs<span class="token operator">=</span><span class="token string">"sketchpad"</span><span class="token punctuation">,</span> outputs<span class="token operator">=</span><span class="token string">"label"</span><span class="token punctuation">).</span>launch<span class="token punctuation">(</span><span class="token punctuation">)</span>
|
||||
</code></pre>`;
|
||||
|
||||
export const q_a = `<pre class="language-python"><code class="language-python"><span class="token keyword">import</span> gradio <span class="token keyword">as</span> gr
|
||||
<span class="token keyword">def</span> <span class="token function">question_answer</span><span class="token punctuation">(</span>context<span class="token punctuation">,</span> question<span class="token punctuation">)</span><span class="token punctuation">:</span>
|
||||
<span class="token keyword">pass </span><span class="token comment"> # Implement your question-answering model here...</span>
|
||||
|
||||
gr<span class="token punctuation">.</span>Interface<span class="token punctuation">(</span>fn<span class="token operator">=</span>question_answer<span class="token punctuation">,</span> inputs<span class="token operator">=</span><span class="token punctuation">[</span><span class="token string">"text"</span><span class="token punctuation">,</span> <span class="token string">"text"</span><span class="token punctuation">],</span> outputs<span class="token operator">=</span>[</span><span class="token string">"textbox"</span><span class="token punctuation">,</span> <span class="token string">"text"</span><span class="token punctuation">]).</span>launch<span class="token punctuation">(</span><span class="token punctuation">)</span>
|
||||
</code></pre>`;
|
||||
|
||||
export const img = `<pre class="language-python"><code class="language-python"><span class="token keyword">import</span> gradio <span class="token keyword">as</span> gr
|
||||
<span class="token keyword">def</span> <span class="token function">segment</span><span class="token punctuation">(</span>image<span class="token punctuation">)</span><span class="token punctuation">:</span>
|
||||
<span class="token keyword">pass </span><span class="token comment"> # Implement your image segmentation model here...</span>
|
||||
|
||||
gr<span class="token punctuation">.</span>Interface<span class="token punctuation">(</span>fn<span class="token operator">=</span>segment<span class="token punctuation">,</span> inputs<span class="token operator">=</span><span class="token string">"image"</span><span class="token punctuation">,</span> outputs<span class="token operator">=</span><span class="token string">"image"</span><span class="token punctuation">).</span>launch<span class="token punctuation">(</span><span class="token punctuation">)</span>
|
||||
</code></pre>`;
|
||||
16
js/_website/src/assets/gradio.svg
Normal file
16
js/_website/src/assets/gradio.svg
Normal file
@ -0,0 +1,16 @@
|
||||
<svg width="90" viewBox="0 0 451 105" fill="none" xmlns="http://www.w3.org/2000/svg">
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<path d="M91.1878 34.6924L45.5957 59.6992V74.3078L91.1878 49.301V34.6924Z" fill="#FF7C00" />
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<path d="M-0.000525172 34.6924L45.5957 59.6992V74.3079L-0.000525172 49.3011V34.6924Z" fill="#FF7C00" fill-opacity="0.75" />
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<path d="M45.7731 9.68544L0.00585938 34.6919V49.3006L45.7731 24.2942V9.68544Z" fill="#FF7C00" />
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<path d="M45.7779 34.9728L91.2031 59.8857V74.4009L45.7779 49.488V34.9728Z" fill="#FF7C00" fill-opacity="0.75" />
|
||||
<path d="M91.1878 59.8853L45.5957 84.8921V99.5007L91.1878 74.4939V59.8853Z" fill="#FF7C00" />
|
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<path d="M-0.000525172 59.8853L45.5957 84.8921V99.5008L-0.000525172 74.494V59.8853Z" fill="#FF7C00" fill-opacity="0.75" />
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<path d="M45.7731 34.8783L0.00585938 59.8848V74.4935L45.7731 49.4871V34.8783Z" fill="#FF7C00" />
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</svg>
|
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|
After Width: | Height: | Size: 6.0 KiB |
1
js/_website/src/assets/img/anchor.svg
Normal file
1
js/_website/src/assets/img/anchor.svg
Normal file
@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" fill="#808080" viewBox="0 0 640 512"><!--! Font Awesome Pro 6.0.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license (Commercial License) Copyright 2022 Fonticons, Inc. --><path d="M172.5 131.1C228.1 75.51 320.5 75.51 376.1 131.1C426.1 181.1 433.5 260.8 392.4 318.3L391.3 319.9C381 334.2 361 337.6 346.7 327.3C332.3 317 328.9 297 339.2 282.7L340.3 281.1C363.2 249 359.6 205.1 331.7 177.2C300.3 145.8 249.2 145.8 217.7 177.2L105.5 289.5C73.99 320.1 73.99 372 105.5 403.5C133.3 431.4 177.3 435 209.3 412.1L210.9 410.1C225.3 400.7 245.3 404 255.5 418.4C265.8 432.8 262.5 452.8 248.1 463.1L246.5 464.2C188.1 505.3 110.2 498.7 60.21 448.8C3.741 392.3 3.741 300.7 60.21 244.3L172.5 131.1zM467.5 380C411 436.5 319.5 436.5 263 380C213 330 206.5 251.2 247.6 193.7L248.7 192.1C258.1 177.8 278.1 174.4 293.3 184.7C307.7 194.1 311.1 214.1 300.8 229.3L299.7 230.9C276.8 262.1 280.4 306.9 308.3 334.8C339.7 366.2 390.8 366.2 422.3 334.8L534.5 222.5C566 191 566 139.1 534.5 108.5C506.7 80.63 462.7 76.99 430.7 99.9L429.1 101C414.7 111.3 394.7 107.1 384.5 93.58C374.2 79.2 377.5 59.21 391.9 48.94L393.5 47.82C451 6.731 529.8 13.25 579.8 63.24C636.3 119.7 636.3 211.3 579.8 267.7L467.5 380z"/></svg>
|
||||
|
After Width: | Height: | Size: 1.2 KiB |
188
js/_website/src/assets/img/dataflow.svg
Normal file
188
js/_website/src/assets/img/dataflow.svg
Normal file
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 142 KiB |
1
js/_website/src/assets/img/esc.svg
Normal file
1
js/_website/src/assets/img/esc.svg
Normal file
@ -0,0 +1 @@
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||||
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|
||||
|
After Width: | Height: | Size: 2.5 KiB |
59
js/_website/src/assets/img/github-black.svg
Normal file
59
js/_website/src/assets/img/github-black.svg
Normal file
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Normal file
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</svg>
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After Width: | Height: | Size: 2.9 KiB |
BIN
js/_website/src/assets/img/header-faded.jpg
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After Width: | Height: | Size: 507 KiB |
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js/_website/src/assets/img/header-image.jpg
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After Width: | Height: | Size: 115 KiB |
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js/_website/src/assets/img/logo-melted.png
Normal file
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js/_website/src/assets/img/logo-melted.png
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js/_website/src/assets/img/logo.png
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After Width: | Height: | Size: 395 KiB |
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After Width: | Height: | Size: 816 B |
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Normal file
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|
After Width: | Height: | Size: 822 B |
55
js/_website/src/assets/index.ts
Normal file
55
js/_website/src/assets/index.ts
Normal file
@ -0,0 +1,55 @@
|
||||
export { default as gradio_logo } from "./gradio.svg";
|
||||
export { default as twitter } from "./img/twitter.svg";
|
||||
export { default as github } from "./img/github.svg";
|
||||
export { default as github_black } from "./img/github-black.svg";
|
||||
|
||||
import google from "../assets/logos/google.svg";
|
||||
import amazon from "../assets/logos/amazon.svg";
|
||||
import fb from "./logos/fb.svg";
|
||||
import cisco from "./logos/cisco.svg";
|
||||
import twitter from "./logos/twitter.svg";
|
||||
import vm from "./logos/vmware.svg";
|
||||
import hf from "./logos/huggingface.svg";
|
||||
import siemens from "./logos/siemens.svg";
|
||||
import mit from "./logos/mit-svg-50.png";
|
||||
import stanford from "./logos/stanford.svg";
|
||||
import uipath from "./logos/uipath.svg";
|
||||
import unify from "./logos/unifyid.svg";
|
||||
import humans from "./logos/humaniseai.svg";
|
||||
import factmata from "./logos/factmata.svg";
|
||||
import wns from "./logos/wns.png";
|
||||
|
||||
import _tweets from "./tweets.json";
|
||||
|
||||
export const logos = [
|
||||
{ img: google, contrast: false, description: "Google Logo" },
|
||||
{ img: amazon, contrast: true, description: "Amazon logo" },
|
||||
{ img: fb, contrast: false, description: "Facebook logo" },
|
||||
{ img: cisco, contrast: false, description: "CISCO logo" },
|
||||
{ img: twitter, contrast: false, description: "Twitter logo" },
|
||||
{ img: vm, contrast: false, description: "VMwarelogo" },
|
||||
{ img: hf, contrast: false, description: "Hugging Face logo" },
|
||||
{ img: siemens, contrast: false, description: "Siemens logo" },
|
||||
{ img: mit, contrast: true, description: "MIT logo" },
|
||||
{ img: stanford, contrast: false, description: "Stanford logo" },
|
||||
{ img: uipath, contrast: false, description: "UI Path logo" },
|
||||
{ img: unify, contrast: false, description: "UnifyID logo" },
|
||||
{ img: humans, contrast: true, description: "Humanise AI logo" },
|
||||
{ img: factmata, contrast: true, description: "Factmata logo" },
|
||||
{ img: wns, contrast: true, description: "WNS logo" }
|
||||
];
|
||||
|
||||
export const twitter_pics = (
|
||||
Object.entries(import.meta.glob("./twitter/**", { eager: true })) as [
|
||||
string,
|
||||
{ default: string }
|
||||
][]
|
||||
).reduce((a, [k, mod]) => {
|
||||
a[k.replace("./twitter/", "")] = mod.default;
|
||||
return a;
|
||||
}, {} as Record<string, string>);
|
||||
|
||||
export const tweets = _tweets.map((x) => ({
|
||||
...x,
|
||||
profile_pic: twitter_pics[x.profile_pic]
|
||||
}));
|
||||
20
js/_website/src/assets/logos/amazon.svg
Normal file
20
js/_website/src/assets/logos/amazon.svg
Normal file
@ -0,0 +1,20 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
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<svg width="1e3" height="301.35" version="1.0" viewBox="0 0 1000 301.35401" xmlns="http://www.w3.org/2000/svg" xmlns:cc="http://creativecommons.org/ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
|
||||
<metadata>
|
||||
<rdf:RDF>
|
||||
<cc:Work rdf:about="">
|
||||
<dc:format>image/svg+xml</dc:format>
|
||||
<dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"/>
|
||||
<dc:title/>
|
||||
</cc:Work>
|
||||
</rdf:RDF>
|
||||
</metadata>
|
||||
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<path d="m644.54 208.03c-7.4-9.4894-49.101-4.4835-67.819-2.2635-5.7024 0.69648-6.5729-4.2659-1.4365-7.8353 33.213-23.375 87.712-16.628 94.067-8.7929 6.3553 7.8788-1.6541 62.508-32.865 88.582-4.7882 4.0047-9.3588 1.8718-7.2259-3.4388 7.0082-17.499 22.722-56.719 15.279-66.252" fill="#f90" fill-rule="evenodd"/>
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|
||||
|
||||
.token.punctuation {
|
||||
color: #999;
|
||||
}
|
||||
|
||||
.token.namespace {
|
||||
opacity: .7;
|
||||
}
|
||||
|
||||
.token.property,
|
||||
.token.tag,
|
||||
.token.boolean,
|
||||
.token.number,
|
||||
.token.constant,
|
||||
.token.symbol,
|
||||
.token.deleted {
|
||||
color: #905;
|
||||
}
|
||||
|
||||
.token.selector,
|
||||
.token.attr-name,
|
||||
.token.string,
|
||||
.token.char,
|
||||
.token.builtin,
|
||||
.token.inserted {
|
||||
color: #690;
|
||||
}
|
||||
|
||||
.token.operator,
|
||||
.token.entity,
|
||||
.token.url,
|
||||
.language-css .token.string,
|
||||
.style .token.string {
|
||||
color: #9a6e3a;
|
||||
/* This background color was intended by the author of this theme. */
|
||||
background: hsla(0, 0%, 100%, .5);
|
||||
}
|
||||
|
||||
.token.atrule,
|
||||
.token.attr-value,
|
||||
.token.keyword {
|
||||
color: #07a;
|
||||
}
|
||||
|
||||
.token.function,
|
||||
.token.class-name {
|
||||
color: #DD4A68;
|
||||
}
|
||||
|
||||
.token.regex,
|
||||
.token.important,
|
||||
.token.variable {
|
||||
color: #e90;
|
||||
}
|
||||
|
||||
.token.important,
|
||||
.token.bold {
|
||||
font-weight: bold;
|
||||
}
|
||||
.token.italic {
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
.token.entity {
|
||||
cursor: help;
|
||||
}
|
||||
|
||||
173
js/_website/src/assets/style.css
Normal file
173
js/_website/src/assets/style.css
Normal file
@ -0,0 +1,173 @@
|
||||
@tailwind base;
|
||||
@tailwind components;
|
||||
@tailwind utilities;
|
||||
|
||||
.link {
|
||||
@apply font-semibold hover:text-orange-500 transition-colors;
|
||||
}
|
||||
.thin-link {
|
||||
@apply hover:text-orange-500 transition-colors;
|
||||
}
|
||||
.thinner-link {
|
||||
@apply hover:text-orange-500 transition-colors;
|
||||
}
|
||||
|
||||
.prose :where(img):not(:where([class~=not-prose] *)) {
|
||||
margin-bottom: 0;
|
||||
margin-top: 0;
|
||||
}
|
||||
|
||||
.group:hover .group-hover\:flex { /* for some reason, group-hover:flex not working on mobile */
|
||||
display: flex;
|
||||
}
|
||||
.group:active .group-active\:flex { /* for some reason, group-active:flex not working on mobile */
|
||||
display: flex;
|
||||
}
|
||||
@media (min-width: 640px) { /* for some reason, sm:block not working */
|
||||
.sm\:block {
|
||||
@apply block;
|
||||
}
|
||||
}
|
||||
@media (min-width: 768px) { /* for some reason, md:block not working */
|
||||
.md\:block {
|
||||
@apply block;
|
||||
}
|
||||
}
|
||||
|
||||
@layer base {
|
||||
a.text-link {
|
||||
@apply font-semibold text-gray-800 underline decoration-orange-500 underline-offset-2 hover:text-orange-500;
|
||||
}
|
||||
}
|
||||
|
||||
@layer utilities {
|
||||
@variants hover, focus {
|
||||
.filter-none {
|
||||
filter: none;
|
||||
}
|
||||
.filter-grayscale {
|
||||
filter: grayscale(100%);
|
||||
}
|
||||
.shadow-alternate-sm {
|
||||
box-shadow: 0px 5px 5px rgba(0, 0, 0, 0.03), 0px 2px 2px rgba(0, 0, 0, 0.03),
|
||||
0px 0px 1px rgba(0, 0, 0, 0.03);
|
||||
}
|
||||
.shadow-alternate {
|
||||
box-shadow: 0px 10px 20px rgba(0, 0, 0, 0.04), 0px 2px 6px rgba(0, 0, 0, 0.04),
|
||||
0px 0px 1px rgba(0, 0, 0, 0.04);
|
||||
}
|
||||
.shadow-alternate-xl {
|
||||
box-shadow: 0px 24px 32px rgba(0, 0, 0, 0.04), 0px 16px 24px rgba(0, 0, 0, 0.04),
|
||||
0px 4px 8px rgba(0, 0, 0, 0.04), 0px 0px 1px rgba(0, 0, 0, 0.04);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* index */
|
||||
.active-example-tab {
|
||||
@apply border-orange-500 rounded-full text-orange-500 ring-1 bg-orange-50 ring-orange-200 hover:!text-orange-500 cursor-pointer shadow shadow-orange-200;
|
||||
}
|
||||
|
||||
/* guides */
|
||||
.prose > p > img {
|
||||
@apply max-w-full mx-auto my-0 w-4/5;
|
||||
}
|
||||
.prose > p > video {
|
||||
@apply max-w-full mx-auto my-0 w-4/5;
|
||||
}
|
||||
|
||||
.prose code::before {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.prose code::after {
|
||||
display: none;
|
||||
}
|
||||
|
||||
/* docs & guides */
|
||||
.thin-link.current-nav-link {
|
||||
@apply text-orange-500;
|
||||
}
|
||||
.thin-link.current-nav-link:not(.subheading) {
|
||||
@apply border-orange-500 md:border-l-2 pl-4;
|
||||
}
|
||||
.link.current-nav-link {
|
||||
@apply border-orange-500 text-orange-500;
|
||||
}
|
||||
.thinner-link.current-nav-link {
|
||||
@apply border-orange-500 text-orange-500;
|
||||
}
|
||||
.second-nav-link {
|
||||
@apply border-l-2 border-gray-100 px-3;
|
||||
}
|
||||
.current-nav-link {
|
||||
@apply border-orange-500 text-orange-500;
|
||||
}
|
||||
|
||||
/* docs */
|
||||
.selected-demo {
|
||||
@apply font-semibold bg-gray-50 rounded text-orange-500;
|
||||
}
|
||||
code.language-python {
|
||||
@apply !leading-7 !whitespace-pre-wrap !break-all;
|
||||
}
|
||||
code.language-bash {
|
||||
@apply !leading-7 !whitespace-pre-wrap !break-all;
|
||||
}
|
||||
|
||||
.group-hover-visible {
|
||||
@apply group-hover:visible;
|
||||
}
|
||||
.anchor-img {
|
||||
@apply w-7 max-w-full inline-block m-0 ml-2;
|
||||
}
|
||||
.anchor-img-small {
|
||||
@apply w-5 max-w-full inline-block m-0 ml-0.5;
|
||||
}
|
||||
.selected-version {
|
||||
@apply font-semibold text-orange-500;
|
||||
}
|
||||
.selected-version:before {
|
||||
content:"• ";
|
||||
}
|
||||
|
||||
/* copy button */
|
||||
.clipboard-button {
|
||||
@apply absolute right-0 px-1.5 pt-0.5 pb-1 m-4 text-gray-500 text-sm z-[100] opacity-0 duration-100;
|
||||
}
|
||||
.clipboard-button:hover {
|
||||
@apply cursor-pointer;
|
||||
}
|
||||
.clipboard-button:hover > svg {
|
||||
@apply fill-gray-700;
|
||||
}
|
||||
.clipboard-button:focus {
|
||||
@apply outline-0;
|
||||
}
|
||||
.codeblock {
|
||||
@apply relative;
|
||||
}
|
||||
.codeblock:hover > .clipboard-button {
|
||||
@apply opacity-100 duration-200;
|
||||
}
|
||||
|
||||
[type="search"]::-webkit-search-cancel-button {
|
||||
@apply appearance-none h-5 w-5;
|
||||
-webkit-appearance: none;
|
||||
background-image: url("/src/assets/img/esc.svg");
|
||||
background-size: 20px 20px;
|
||||
}
|
||||
|
||||
.view-code {
|
||||
@apply w-16 p-2 mx-auto hover:bg-gray-100;
|
||||
background: rgb(249,250,251);
|
||||
}
|
||||
|
||||
/* demos */
|
||||
.selected-demo-tab {
|
||||
@apply font-semibold text-orange-500 rounded-t-md border-2 border-gray-100 border-b-0 bg-white;
|
||||
}
|
||||
.selected-demo-window {
|
||||
@apply rounded-b-md border-2 border-gray-100 -mt-0.5;
|
||||
}
|
||||
|
||||
83
js/_website/src/assets/tweets.json
Normal file
83
js/_website/src/assets/tweets.json
Normal file
@ -0,0 +1,83 @@
|
||||
[
|
||||
{
|
||||
"name": "Amar Saini",
|
||||
"handle": "_Epoching_",
|
||||
"link": "https://twitter.com/_Epoching_/status/1471091318482825219",
|
||||
"content": "Just built a ️<span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio</span> app for a video related deep learning project. <br> I’m astonished by how simple it is to use & how elegant it looks! Lots and lots of great features & flexibility. Thanks for making this ❤ ",
|
||||
"likes": 47,
|
||||
"timestamp": "7:14 AM · Dec 15, 2021",
|
||||
"profile_pic": "pwMrDOBv_400x400.jpeg"
|
||||
},
|
||||
{
|
||||
"name": "Will Rice",
|
||||
"handle": "_Will_Rice",
|
||||
"link": "https://twitter.com/_Will_Rice/status/1430258610131582979",
|
||||
"content": "Just tried out <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio<\/span> and I am very impressed. Only took like 10mins to put together a <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">#tts</span> demo.",
|
||||
"likes": 11,
|
||||
"timestamp": "4:00 PM · Aug 24, 2021",
|
||||
"profile_pic": "LsCnjnsl_400x400.jpeg"
|
||||
},
|
||||
{
|
||||
"name": "Roxana Daneshjou MD/PhD",
|
||||
"handle": "RoxanaDaneshjou",
|
||||
"link": "https://twitter.com/RoxanaDaneshjou/status/1418399829944721415",
|
||||
"content": "Honestly, without <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio<\/span>, we would not be doing a real time AI trial. We have many other ideas for algorithms we want to test through clinical trials, and we know it's possible thanks to <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio</span>.",
|
||||
"likes": 15,
|
||||
"timestamp": "7:37 PM · Jul 22, 2021",
|
||||
"profile_pic": "ITFspAMm_x96.jpg"
|
||||
},
|
||||
{
|
||||
"name": "Vinay Prabhu",
|
||||
"handle": "vinayprabhu",
|
||||
"link": "https://twitter.com/vinayprabhu/status/1324409497641652225",
|
||||
"content": "Dear <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">#MachineLearning<\/span> twitter,<br>If you haven't typed: <br>$ pip install gradio<br>yet, now would be a damn good time.<br>Especially if you are working in computer vision & deploying models in the real world. ",
|
||||
"likes": 19,
|
||||
"timestamp": "12:53 PM · Nov 5, 2020",
|
||||
"profile_pic": "1013607349943058433.jpg"
|
||||
},
|
||||
{
|
||||
"name": "Tanishq Mathew Abraham",
|
||||
"handle": "iScienceLuvr",
|
||||
"link": "https://twitter.com/iScienceLuvr/status/1460716613032837120",
|
||||
"content": "After training an ML model, the BEST way to showcase it to the world is to make a demo for others to try! <br>The easiest way to do so is w/ <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio<\/span>, hosted on <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@HuggingFace<\/span> Spaces. <br>Read my new blog post to learn how to do this (w/ appearance by <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@fastdotai<\/span>)! <br> <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">https://tmabraham.github...</span>",
|
||||
"likes": 285,
|
||||
"timestamp": "4:09 PM · Nov 16, 2021",
|
||||
"profile_pic": "ksO1TT2P_400x400.jpeg"
|
||||
},
|
||||
{
|
||||
"name": "Dipankar Mazumdar",
|
||||
"handle": "Dipankartnt",
|
||||
"link": "https://twitter.com/Dipankartnt/status/1427750254586253318",
|
||||
"content": "I love low-code ML solutions like <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio</span> that do not restricts anyone from making ML accessible. <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">#machinelearning</span> <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">#datascience</span>",
|
||||
"likes": 0,
|
||||
"timestamp": "5:52 PM · Aug 17, 2021",
|
||||
"profile_pic": "GDLc7Oe4_400x400.jpeg"
|
||||
},
|
||||
{
|
||||
"name": "Charly Wargnier",
|
||||
"handle": "DataChaz",
|
||||
"link": "https://twitter.com/DataChaz/status/1351290055894179842",
|
||||
"content": "Pretty neat that <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@GradioML<\/span>!\uD83D\uDC0D\uD83D\uDD25 <br>+ Generate an easy-to-use UI for your <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">#ML<\/span> model, function, or <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">#API<\/span> with only a few lines of code!<br>+ Integrate directly into your <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@ProjectJupyter<\/span> notebook<br>+ or share a link with anyone<br><br>h\/t <br> <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@VincentTerrasi<\/span> <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">#MachineLearning<\/span> <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">www.gradio.app</span>",
|
||||
"likes": 18,
|
||||
"timestamp": "5:07 PM · Jan 18, 2021",
|
||||
"profile_pic": "1362781887098454025.jpg"
|
||||
},
|
||||
{
|
||||
"name": "Chua Chin Hon",
|
||||
"handle": "chinhon",
|
||||
"link": "https://twitter.com/chinhon/status/1452510073452859392",
|
||||
"content": "What's exciting about ML in 2021 is how the building blocks r coming together. Built this headline writer using: <br>- AutoNLP to finetune Bart<br>- <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio</span> for the UI<br>- <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@huggingface</span>'s Spaces for hosting and compute <br>Try it here: <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">https://huggingface.co/spa...</span><br>",
|
||||
"likes": 61,
|
||||
"timestamp": "10:39 PM · Oct 24, 2021",
|
||||
"profile_pic": "R1gj6nb3_x96.jpg"
|
||||
},
|
||||
{
|
||||
"name": "Poonam Ligade @Jarvislabs.ai",
|
||||
"handle": "Poonamligade",
|
||||
"link": "https://twitter.com/Poonamligade/status/1521740054368251905",
|
||||
"content": "My son is fascinated with all things about dinosaurs. I built a \uD83E\uDD96 \uD83E\uDD95 classifier for him as homework for the first week of the fastai cohort. <br> I used <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@Gradio<\/span>, and deployed on <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">@jarvislabsai</span>. <span class=\"font-semibold\" style=\"color: rgb(29, 155, 240);\">http://dinoapp.jarvis..<\/span>",
|
||||
"likes": 305,
|
||||
"timestamp": "2:34 AM · May 4, 2022",
|
||||
"profile_pic": "8vyTl51q_400x400.jpeg"
|
||||
}
|
||||
]
|
||||
BIN
js/_website/src/assets/twitter/0Hxb1ESL_x96.png
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After Width: | Height: | Size: 16 KiB |
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js/_website/src/assets/twitter/ITFspAMm_x96.jpg
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|
After Width: | Height: | Size: 3.5 KiB |
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js/_website/src/assets/twitter/LsCnjnsl_400x400.jpeg
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After Width: | Height: | Size: 13 KiB |
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|
After Width: | Height: | Size: 3.8 KiB |
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|
After Width: | Height: | Size: 16 KiB |
1
js/_website/src/assets/twitter/heart.svg
Normal file
1
js/_website/src/assets/twitter/heart.svg
Normal file
@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path class="icon" fill="#697882" d="M12 21.638h-.014C9.403 21.59 1.95 14.856 1.95 8.478c0-3.064 2.525-5.754 5.403-5.754 2.29 0 3.83 1.58 4.646 2.73.813-1.148 2.353-2.73 4.644-2.73 2.88 0 5.404 2.69 5.404 5.755 0 6.375-7.454 13.11-10.037 13.156H12zM7.354 4.225c-2.08 0-3.903 1.988-3.903 4.255 0 5.74 7.035 11.596 8.55 11.658 1.52-.062 8.55-5.917 8.55-11.658 0-2.267-1.822-4.255-3.902-4.255-2.528 0-3.94 2.936-3.952 2.965-.23.562-1.156.562-1.387 0-.015-.03-1.426-2.965-3.955-2.965z"/></svg>
|
||||
|
After Width: | Height: | Size: 572 B |
BIN
js/_website/src/assets/twitter/ksO1TT2P_400x400.jpeg
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|
After Width: | Height: | Size: 28 KiB |
1
js/_website/src/assets/twitter/logo.svg
Normal file
1
js/_website/src/assets/twitter/logo.svg
Normal file
@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 72 72"><path fill="none" d="M0 0h72v72H0z"/><path class="icon" fill="#1da1f2" d="M68.812 15.14c-2.348 1.04-4.87 1.744-7.52 2.06 2.704-1.62 4.78-4.186 5.757-7.243-2.53 1.5-5.33 2.592-8.314 3.176C56.35 10.59 52.948 9 49.182 9c-7.23 0-13.092 5.86-13.092 13.093 0 1.026.118 2.02.338 2.98C25.543 24.527 15.9 19.318 9.44 11.396c-1.125 1.936-1.77 4.184-1.77 6.58 0 4.543 2.312 8.552 5.824 10.9-2.146-.07-4.165-.658-5.93-1.64-.002.056-.002.11-.002.163 0 6.345 4.513 11.638 10.504 12.84-1.1.298-2.256.457-3.45.457-.845 0-1.666-.078-2.464-.23 1.667 5.2 6.5 8.985 12.23 9.09-4.482 3.51-10.13 5.605-16.26 5.605-1.055 0-2.096-.06-3.122-.184 5.794 3.717 12.676 5.882 20.067 5.882 24.083 0 37.25-19.95 37.25-37.25 0-.565-.013-1.133-.038-1.693 2.558-1.847 4.778-4.15 6.532-6.774z"/></svg>
|
||||
|
After Width: | Height: | Size: 825 B |
BIN
js/_website/src/assets/twitter/pwMrDOBv_400x400.jpeg
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BIN
js/_website/src/assets/twitter/pwMrDOBv_400x400.jpeg
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|
After Width: | Height: | Size: 26 KiB |
1
js/_website/src/assets/twitter/redheart.svg
Normal file
1
js/_website/src/assets/twitter/redheart.svg
Normal file
@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"><path class="icon" fill="#E0245E" d="M12 21.638h-.014C9.403 21.59 1.95 14.856 1.95 8.478c0-3.064 2.525-5.754 5.403-5.754 2.29 0 3.83 1.58 4.646 2.73.813-1.148 2.353-2.73 4.644-2.73 2.88 0 5.404 2.69 5.404 5.755 0 6.375-7.454 13.11-10.037 13.156H12zM7.354 4.225c-2.08 0-3.903 1.988-3.903 4.255 0 5.74 7.035 11.596 8.55 11.658 1.52-.062 8.55-5.917 8.55-11.658 0-2.267-1.822-4.255-3.902-4.255-2.528 0-3.94 2.936-3.952 2.965-.23.562-1.156.562-1.387 0-.015-.03-1.426-2.965-3.955-2.965z"/></svg>
|
||||
|
After Width: | Height: | Size: 572 B |
40
js/_website/src/components/Demos.svelte
Normal file
40
js/_website/src/components/Demos.svelte
Normal file
@ -0,0 +1,40 @@
|
||||
<script lang="ts">
|
||||
import { svgCopy, svgCheck } from "../assets/copy.js";
|
||||
|
||||
export let name: string;
|
||||
export let code: string;
|
||||
export let highlighted_code: string;
|
||||
|
||||
let copied = false;
|
||||
function copy(code: string) {
|
||||
navigator.clipboard.writeText(code);
|
||||
copied = true;
|
||||
setTimeout(() => (copied = false), 2000);
|
||||
}
|
||||
</script>
|
||||
|
||||
<div class="codeblock bg-gray-50 mx-auto p-3 my-3" id="{name}_code">
|
||||
<a
|
||||
class="clipboard-button"
|
||||
href="https://colab.research.google.com/github/gradio-app/gradio/blob/main/demo/{name}/run.ipynb"
|
||||
target="_blank"
|
||||
style="right:30px"
|
||||
>
|
||||
<img src="https://colab.research.google.com/assets/colab-badge.svg" />
|
||||
</a>
|
||||
<button class="clipboard-button" type="button" on:click={() => copy(code)}>
|
||||
{#if !copied}
|
||||
{@html svgCopy}
|
||||
{:else}
|
||||
{@html svgCheck}
|
||||
{/if}
|
||||
</button>
|
||||
<pre class=" max-h-80 overflow-auto"><code class="code language-python"
|
||||
>{@html highlighted_code}</code
|
||||
>
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
{#key name}
|
||||
<gradio-app space={"gradio/" + name} />
|
||||
{/key}
|
||||
65
js/_website/src/components/DemosLanding.svelte
Normal file
65
js/_website/src/components/DemosLanding.svelte
Normal file
@ -0,0 +1,65 @@
|
||||
<script lang="ts">
|
||||
import { q_a, img, sketch } from "../assets/demo_code";
|
||||
|
||||
let tabs = [
|
||||
{ title: "Sketch Recognition", code: sketch, demo: "gradio/pictionary" },
|
||||
{
|
||||
title: "Question Answering",
|
||||
code: q_a,
|
||||
demo: "gradio/question-answering"
|
||||
},
|
||||
{
|
||||
title: "Image Segmentation",
|
||||
code: img,
|
||||
demo: "gradio/Echocardiogram-Segmentation"
|
||||
},
|
||||
{
|
||||
title: "Time Series Forecasting",
|
||||
code: false,
|
||||
demo: "gradio/timeseries-forecasting-with-prophet"
|
||||
},
|
||||
{
|
||||
title: "XGBoost with Explainability",
|
||||
code: false,
|
||||
demo: "gradio/xgboost-income-prediction-with-explainability"
|
||||
}
|
||||
];
|
||||
|
||||
let current_selection = 0;
|
||||
</script>
|
||||
|
||||
<div class="container mx-auto mb-6 px-4 overflow-hidden">
|
||||
<nav
|
||||
class="flex lg:flex-wrap gap-3 overflow-x-auto py-1 lg:gap-6 whitespace-nowrap text-gray-600 md:text-lg mb-4 md:mb-0 lg:justify-center"
|
||||
>
|
||||
{#each tabs as { title }, i}
|
||||
<div
|
||||
on:click={() => (current_selection = i)}
|
||||
class:active-example-tab={current_selection == i}
|
||||
class="demo-tab hover:text-gray-800 cursor-pointer px-3 py-1"
|
||||
>
|
||||
{title}
|
||||
</div>
|
||||
{/each}
|
||||
</nav>
|
||||
</div>
|
||||
<div class="container mx-auto mb-6 px-4 grid grid-cols-1">
|
||||
{#each tabs as { demo, code }, i (demo)}
|
||||
<div
|
||||
class:hidden={i !== current_selection}
|
||||
class="demo space-y-2 md:col-span-3"
|
||||
>
|
||||
<div
|
||||
class:hidden={!code}
|
||||
class="codeblock rounded-lg bg-gray-50 shadow-inner text-sm md:text-base mx-auto max-w-5xl"
|
||||
>
|
||||
{@html code}
|
||||
</div>
|
||||
<div class="mx-auto max-w-5xl">
|
||||
{#key demo}
|
||||
<gradio-app space={demo} />
|
||||
{/key}
|
||||
</div>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
182
js/_website/src/components/DocsNav.svelte
Normal file
182
js/_website/src/components/DocsNav.svelte
Normal file
@ -0,0 +1,182 @@
|
||||
<script lang="ts">
|
||||
// @ts-nocheck
|
||||
import { clickOutside } from "./clickOutside.js";
|
||||
|
||||
export let components: any;
|
||||
export let helpers: any;
|
||||
export let routes: any;
|
||||
export let py_client: any;
|
||||
|
||||
export let current_nav_link = "";
|
||||
|
||||
let show_nav = false;
|
||||
let searchTerm = "";
|
||||
let searchBar: HTMLInputElement;
|
||||
|
||||
const search = () => {
|
||||
console.log(searchTerm);
|
||||
let links = document.querySelectorAll(
|
||||
".navigation a"
|
||||
) as NodeListOf<HTMLAnchorElement>;
|
||||
links.forEach((link) => {
|
||||
let linkText = link.innerText.toLowerCase();
|
||||
if (linkText.includes(searchTerm.toLowerCase())) {
|
||||
link.style.display = "block";
|
||||
} else {
|
||||
link.style.display = "none";
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
function onKeyDown(e: KeyboardEvent) {
|
||||
if (e.key.toLowerCase() === "k" && (e.metaKey || e.ctrlKey)) {
|
||||
e.preventDefault();
|
||||
searchBar.focus();
|
||||
}
|
||||
if (e.key == "Escape") {
|
||||
searchTerm = "";
|
||||
searchBar.blur();
|
||||
search();
|
||||
}
|
||||
}
|
||||
</script>
|
||||
|
||||
<svelte:window on:keydown={onKeyDown} />
|
||||
|
||||
<section
|
||||
class="top-0 fixed -ml-4 flex items-center p-4 rounded-br-lg backdrop-blur-lg z-50 bg-gray-200/50 lg:hidden"
|
||||
id="menu-bar"
|
||||
>
|
||||
<button
|
||||
on:click={() => (show_nav = !show_nav)}
|
||||
type="button"
|
||||
class="text-slate-500 hover:text-slate-600 dark:text-slate-400 dark:hover:text-slate-300"
|
||||
>
|
||||
<svg width="24" height="24"
|
||||
><path
|
||||
d="M5 6h14M5 12h14M5 18h14"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
stroke-linecap="round"
|
||||
/></svg
|
||||
>
|
||||
</button>
|
||||
</section>
|
||||
|
||||
<div
|
||||
use:clickOutside
|
||||
on:click_outside={() => (show_nav = false)}
|
||||
class:hidden={!show_nav}
|
||||
class="navigation mobile-nav overflow-y-auto fixed backdrop-blur-lg z-50 bg-gray-200/50 pr-6 pl-4 py-4 -ml-4 h-full inset-0 w-5/6 lg:inset-auto lg:h-auto lg:ml-0 lg:z-0 lg:backdrop-blur-none lg:navigation lg:p-0 lg:pb-4 lg:h-screen lg:leading-relaxed lg:sticky lg:top-0 lg:text-md lg:block rounded-t-xl lg:bg-gradient-to-r lg:from-white lg:to-gray-50 lg:overflow-x-clip lg:w-2/12 lg:min-w-2/12"
|
||||
id="mobile-nav"
|
||||
>
|
||||
<button
|
||||
on:click={() => (show_nav = !show_nav)}
|
||||
type="button"
|
||||
class="absolute z-10 top-4 right-4 w-2/12 h-4 flex items-center justify-center text-grey-500 hover:text-slate-600 dark:text-slate-400 dark:hover:text-slate-300 p-4 lg:hidden"
|
||||
tabindex="0"
|
||||
>
|
||||
<svg viewBox="0 0 10 10" class="overflow-visible" style="width: 10px"
|
||||
><path
|
||||
d="M0 0L10 10M10 0L0 10"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
stroke-linecap="round"
|
||||
/></svg
|
||||
>
|
||||
</button>
|
||||
|
||||
<div
|
||||
class="w-full sticky top-0 bg-gradient-to-r from-white to-gray-50 z-10 hidden lg:block"
|
||||
>
|
||||
<input
|
||||
bind:value={searchTerm}
|
||||
on:input={search}
|
||||
bind:this={searchBar}
|
||||
id="search"
|
||||
type="search"
|
||||
class="w-4/5 m-4 rounded-md border-gray-200 focus:placeholder-transparent focus:shadow-none focus:border-orange-500 focus:ring-0"
|
||||
placeholder="Search ⌘-k / ctrl-k"
|
||||
autocomplete="off"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<a class="link px-4 my-2 block" href="/docs/">Building Demos</a>
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "interface"}
|
||||
class="thin-link px-4 block"
|
||||
href="/docs/interface/">Interface</a
|
||||
>
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "flagging"}
|
||||
class="thin-link px-4 block"
|
||||
href="/docs/flagging/">Flagging</a
|
||||
>
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "combining-interfaces"}
|
||||
class="thin-link px-4 block"
|
||||
href="/docs/combining-interfaces/">Combining Interfaces</a
|
||||
>
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "blocks"}
|
||||
class="thin-link px-4 block"
|
||||
href="/docs/blocks/">Blocks<sup class="text-orange-500">NEW</sup></a
|
||||
>
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "block-layouts"}
|
||||
class="thin-link px-4 block"
|
||||
href="/docs/block-layouts/">Block Layouts</a
|
||||
>
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "themes"}
|
||||
class="thin-link px-4 block"
|
||||
href="/docs/themes/">Themes</a
|
||||
>
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "components"}
|
||||
class="link px-4 my-2 block"
|
||||
href="/docs/components/">Components</a
|
||||
>
|
||||
{#each Object.entries(components) as [name, obj] (name)}
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == name}
|
||||
class="px-4 block thin-link"
|
||||
href="/docs/{name}/">{obj.name}</a
|
||||
>
|
||||
{/each}
|
||||
<a class="link px-4 my-2 block">Helpers</a>
|
||||
{#each Object.entries(helpers) as [name, obj] (name)}
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == name}
|
||||
class="px-4 block thin-link"
|
||||
href="/docs/{name}/">{obj.name}</a
|
||||
>
|
||||
{/each}
|
||||
<a class="link px-4 my-2 block">Routes</a>
|
||||
{#each Object.entries(routes) as [name, obj] (name)}
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == name}
|
||||
class="px-4 block thin-link"
|
||||
href="/docs/{name}/">{obj.name}</a
|
||||
>
|
||||
{/each}
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == "python-client"}
|
||||
class="link px-4 my-2 block"
|
||||
href="/docs/python-client/">Python Client</a
|
||||
>
|
||||
{#each Object.entries(py_client) as [name, obj] (name)}
|
||||
<a
|
||||
class:current-nav-link={current_nav_link == name}
|
||||
class="px-4 block thin-link"
|
||||
href="/docs/{name}/">{obj.name}</a
|
||||
>
|
||||
{/each}
|
||||
<a
|
||||
class:current_nav_link={current_nav_link == "js-client"}
|
||||
class="link px-4 my-2 block"
|
||||
href="/docs/js-client/">JavaScript Client</a
|
||||
>
|
||||
</div>
|
||||
95
js/_website/src/components/Footer.svelte
Normal file
95
js/_website/src/components/Footer.svelte
Normal file
@ -0,0 +1,95 @@
|
||||
<script lang="ts">
|
||||
import { twitter, github } from "../assets";
|
||||
</script>
|
||||
|
||||
<footer
|
||||
class="container mx-auto flex-row flex items-center px-4 py-6 justify-between"
|
||||
>
|
||||
<a href="/">
|
||||
<svg
|
||||
width="90"
|
||||
viewBox="0 0 451 105"
|
||||
fill="none"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
>
|
||||
<path
|
||||
d="M45.7779 9.7789L91.2031 34.6919V49.2071L45.7779 24.2941V9.7789Z"
|
||||
fill="#FF7C00"
|
||||
fill-opacity="0.75"
|
||||
/>
|
||||
<path
|
||||
d="M91.1878 34.6924L45.5957 59.6992V74.3078L91.1878 49.301V34.6924Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M-0.000525172 34.6924L45.5957 59.6992V74.3079L-0.000525172 49.3011V34.6924Z"
|
||||
fill="#FF7C00"
|
||||
fill-opacity="0.75"
|
||||
/>
|
||||
<path
|
||||
d="M45.7731 9.68544L0.00585938 34.6919V49.3006L45.7731 24.2942V9.68544Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M45.7779 34.9728L91.2031 59.8857V74.4009L45.7779 49.488V34.9728Z"
|
||||
fill="#FF7C00"
|
||||
fill-opacity="0.75"
|
||||
/>
|
||||
<path
|
||||
d="M91.1878 59.8853L45.5957 84.8921V99.5007L91.1878 74.4939V59.8853Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M-0.000525172 59.8853L45.5957 84.8921V99.5008L-0.000525172 74.494V59.8853Z"
|
||||
fill="#FF7C00"
|
||||
fill-opacity="0.75"
|
||||
/>
|
||||
<path
|
||||
d="M45.7731 34.8783L0.00585938 59.8848V74.4935L45.7731 49.4871V34.8783Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M139.727 96.9891L148.148 86.596C152.803 90.8598 157.991 92.9917 163.711 92.9917C167.549 92.9917 170.711 92.4232 173.198 91.2862C175.686 90.1492 176.929 88.5858 176.929 86.596C176.929 83.2205 174.176 81.5327 168.668 81.5327C167.176 81.5327 164.955 81.7104 162.006 82.0657C159.057 82.421 156.836 82.5987 155.344 82.5987C146.176 82.5987 141.593 79.312 141.593 72.7386C141.593 70.8554 142.357 69.0077 143.885 67.1956C145.413 65.3835 147.189 64.0511 149.214 63.1983C142.712 58.97 139.461 52.9829 139.461 45.237C139.461 39.1255 141.699 34.08 146.176 30.1004C150.653 26.0853 156.161 24.0777 162.699 24.0777C167.815 24.0777 172.097 25.0371 175.544 26.9558L180.767 20.8799L189.987 29.2476L183.645 33.8845C185.848 37.2245 186.949 41.1686 186.949 45.7166C186.949 52.219 184.959 57.4244 180.98 61.3329C177.036 65.2058 172.044 67.1423 166.003 67.1423C165.044 67.1423 163.765 67.0535 162.166 66.8758L159.981 66.5561C159.732 66.5561 158.772 66.9469 157.102 67.7286C155.468 68.4748 154.651 69.2565 154.651 70.0737C154.651 71.495 155.877 72.2056 158.328 72.2056C159.43 72.2056 161.277 71.9391 163.871 71.4062C166.465 70.8732 168.686 70.6067 170.534 70.6067C183.503 70.6067 189.987 75.8121 189.987 86.2229C189.987 91.9791 187.393 96.4916 182.206 99.7606C177.018 103.065 170.764 104.717 163.445 104.717C154.704 104.717 146.798 102.141 139.727 96.9891ZM153.052 45.2903C153.052 48.6658 153.976 51.384 155.823 53.4448C157.707 55.4701 160.229 56.4828 163.392 56.4828C166.554 56.4828 168.988 55.4879 170.693 53.4981C172.399 51.5083 173.252 48.7724 173.252 45.2903C173.252 42.4122 172.328 39.9782 170.48 37.9885C168.668 35.9987 166.305 35.0038 163.392 35.0038C160.336 35.0038 157.849 35.9631 155.93 37.8819C154.011 39.8006 153.052 42.27 153.052 45.2903Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M231.773 37.6687C229.392 36.1053 226.78 35.3236 223.938 35.3236C220.847 35.3236 218.093 36.7271 215.677 39.5341C213.296 42.3411 212.106 45.7699 212.106 49.8206V82.3322H198.781V25.2503H212.106V30.4735C215.837 26.2807 220.793 24.1843 226.976 24.1843C231.524 24.1843 235.006 24.8772 237.422 26.263L231.773 37.6687Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M277.236 76.6293C276.028 78.6191 273.913 80.2536 270.893 81.5327C267.909 82.7763 264.782 83.3981 261.513 83.3981C255.366 83.3981 250.533 81.8703 247.016 78.8145C243.498 75.7233 241.739 71.3529 241.739 65.7033C241.739 59.0944 244.209 53.9245 249.148 50.1936C254.122 46.4628 261.175 44.5974 270.307 44.5974C271.87 44.5974 273.718 44.8639 275.85 45.3968C275.85 38.6813 271.604 35.3236 263.112 35.3236C258.102 35.3236 253.909 36.1586 250.533 37.8286L247.655 27.4888C252.239 25.2858 257.693 24.1843 264.018 24.1843C272.723 24.1843 279.101 26.1741 283.152 30.1537C287.202 34.0977 289.228 41.5949 289.228 52.6453V64.8505C289.228 72.4543 290.756 77.2334 293.811 79.1876C292.71 81.1063 291.484 82.2789 290.134 82.7053C288.783 83.1672 287.238 83.3981 285.497 83.3981C283.578 83.3981 281.855 82.6875 280.327 81.2662C278.799 79.845 277.769 78.2993 277.236 76.6293ZM275.956 55.4701C273.682 55.0082 271.977 54.7773 270.84 54.7773C260.322 54.7773 255.064 58.2238 255.064 65.117C255.064 70.2336 258.031 72.7919 263.965 72.7919C271.959 72.7919 275.956 68.7946 275.956 60.7999V55.4701Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M340.393 82.3322V78.8678C339.292 80.0759 337.427 81.1419 334.797 82.0657C332.168 82.954 329.45 83.3981 326.643 83.3981C318.684 83.3981 312.412 80.8754 307.829 75.8299C303.28 70.7843 301.006 63.749 301.006 54.724C301.006 45.6989 303.618 38.3615 308.841 32.712C314.1 27.0269 320.673 24.1843 328.561 24.1843C332.896 24.1843 336.84 25.0726 340.393 26.8492V3.98449L353.718 0.786621V82.3322H340.393ZM340.393 38.8945C337.551 36.6205 334.584 35.4835 331.493 35.4835C326.163 35.4835 322.059 37.1179 319.181 40.3869C316.303 43.6203 314.864 48.2749 314.864 54.3509C314.864 66.2185 320.584 72.1523 332.026 72.1523C333.305 72.1523 334.868 71.7792 336.716 71.0331C338.599 70.2514 339.825 69.4697 340.393 68.688V38.8945Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M377.542 3.13172C379.674 3.13172 381.486 3.89566 382.978 5.42353C384.506 6.91586 385.27 8.72799 385.27 10.8599C385.27 12.9918 384.506 14.8217 382.978 16.3496C381.486 17.8419 379.674 18.5881 377.542 18.5881C375.41 18.5881 373.58 17.8419 372.052 16.3496C370.56 14.8217 369.814 12.9918 369.814 10.8599C369.814 8.72799 370.56 6.91586 372.052 5.42353C373.58 3.89566 375.41 3.13172 377.542 3.13172ZM370.667 82.3322V36.1763H363.365V25.2503H384.151V82.3322H370.667Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
<path
|
||||
d="M395.983 53.658C395.983 44.9527 398.488 37.8641 403.498 32.3922C408.544 26.9203 415.188 24.1843 423.431 24.1843C432.101 24.1843 438.834 26.8137 443.631 32.0724C448.428 37.3311 450.826 44.5263 450.826 53.658C450.826 62.7541 448.375 69.9849 443.471 75.3502C438.603 80.7155 431.924 83.3981 423.431 83.3981C414.762 83.3981 408.011 80.6977 403.178 75.2969C398.381 69.8605 395.983 62.6476 395.983 53.658ZM409.84 53.658C409.84 66.2363 414.371 72.5254 423.431 72.5254C427.589 72.5254 430.875 70.8909 433.291 67.622C435.743 64.3531 436.969 59.6984 436.969 53.658C436.969 41.2574 432.456 35.0571 423.431 35.0571C419.274 35.0571 415.97 36.6915 413.518 39.9605C411.066 43.2294 409.84 47.7952 409.84 53.658Z"
|
||||
fill="#FF7C00"
|
||||
/>
|
||||
</svg>
|
||||
</a>
|
||||
<div class="flex gap-3">
|
||||
<a
|
||||
href="https://status.gradio.app"
|
||||
target="_blank"
|
||||
class="text-gray-400 hover:text-gray-500"
|
||||
>
|
||||
<span>Status</span>
|
||||
</a>
|
||||
<a class="hover:opacity-75 transition" href="https://twitter.com/Gradio">
|
||||
<img src={twitter} class="w-6" alt="Twitter logo" />
|
||||
</a>
|
||||
<a
|
||||
class="hover:opacity-75 transition"
|
||||
href="https://github.com/gradio-app/gradio"
|
||||
>
|
||||
<img src={github} class="w-6" alt="Github logo" />
|
||||
</a>
|
||||
</div>
|
||||
</footer>
|
||||
138
js/_website/src/components/FunctionDoc.svelte
Normal file
138
js/_website/src/components/FunctionDoc.svelte
Normal file
@ -0,0 +1,138 @@
|
||||
<script lang="ts">
|
||||
export let fn: any;
|
||||
export let parent;
|
||||
import anchor from "../assets/img/anchor.svg";
|
||||
|
||||
function handleAnchorClick(event: MouseEvent) {
|
||||
event.preventDefault();
|
||||
const link = event.currentTarget as HTMLAnchorElement;
|
||||
console.log(link);
|
||||
const anchorId = new URL(link.href).hash.replace("#", "");
|
||||
const anchor = document.getElementById(anchorId);
|
||||
window.scrollTo({
|
||||
top: anchor?.offsetTop,
|
||||
behavior: "smooth"
|
||||
});
|
||||
}
|
||||
</script>
|
||||
|
||||
<!-- name, signature, description, params -->
|
||||
|
||||
<div class="obj" id={fn.slug}>
|
||||
<div class="flex flex-row items-center justify-between">
|
||||
<h3 class="group text-3xl font-light py-4">
|
||||
{fn.name}
|
||||
<a
|
||||
href="#{fn.slug}"
|
||||
class="invisible group-hover-visible"
|
||||
on:click={handleAnchorClick}><img class="anchor-img" src={anchor} /></a
|
||||
>
|
||||
</h3>
|
||||
</div>
|
||||
|
||||
{#if fn.override_signature}
|
||||
<div class="codeblock bg-gray-50 mx-auto p-3">
|
||||
<pre><code class="code language-python">{fn.override_signature}</code
|
||||
></pre>
|
||||
</div>
|
||||
{:else}
|
||||
<div class="codeblock bg-gray-50 mx-auto p-3">
|
||||
<pre><code class="code language-python"
|
||||
>{fn.parent}.<span>{fn.name}(</span
|
||||
><!--
|
||||
-->{#each fn.parameters as param}<!--
|
||||
-->{#if !("kwargs" in param) && !("default" in param) && param.name != "self"}<!--
|
||||
-->{param.name}, <!--
|
||||
-->{/if}<!--
|
||||
-->{/each}<!--
|
||||
-->···<span
|
||||
>)</span
|
||||
></code
|
||||
></pre>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
<h4
|
||||
class="mt-8 text-xl text-orange-500 font-light group"
|
||||
id="{fn.slug}-description"
|
||||
>
|
||||
Description
|
||||
<a
|
||||
href="#{fn.slug}-description"
|
||||
class="invisible group-hover-visible"
|
||||
on:click={handleAnchorClick}
|
||||
><img class="anchor-img-small" src={anchor} /></a
|
||||
>
|
||||
</h4>
|
||||
<p class="mb-2 text-lg">{@html fn.description}</p>
|
||||
|
||||
{#if fn.example}
|
||||
<h4
|
||||
class="mt-4 text-xl text-orange-500 font-light group"
|
||||
id="{fn.slug}-example-usage"
|
||||
>
|
||||
Example Usage
|
||||
<a
|
||||
href="#{fn.slug}-example-usage"
|
||||
class="invisible group-hover-visible"
|
||||
on:click={handleAnchorClick}
|
||||
><img class="anchor-img-small" src={anchor} /></a
|
||||
>
|
||||
</h4>
|
||||
<div class="mt-2 codeblock bg-gray-50 mx-auto p-3">
|
||||
<pre><code class="code language-python"
|
||||
>{@html fn.highlighted_example}</code
|
||||
></pre>
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
{#if (fn.parameters.length > 0 && fn.parameters[0].name != "self") || fn.parameters.length > 1}
|
||||
<h4
|
||||
class="mt-6 text-xl text-orange-500 font-light group"
|
||||
id="{fn.slug}-arguments"
|
||||
>
|
||||
Agruments
|
||||
<a
|
||||
href="#{fn.slug}-arguments"
|
||||
class="invisible group-hover-visible"
|
||||
on:click={handleAnchorClick}
|
||||
><img class="anchor-img-small" src={anchor} /></a
|
||||
>
|
||||
</h4>
|
||||
|
||||
<table class="table-fixed w-full leading-loose">
|
||||
<thead class="text-left">
|
||||
<tr>
|
||||
<th class="px-3 pb-3 font-semibold text-gray-700 w-2/5">Parameter</th>
|
||||
<th class="px-3 pb-3 font-semibold text-gray-700">Description</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody
|
||||
class=" rounded-lg bg-gray-50 border border-gray-100 overflow-hidden text-left align-top divide-y"
|
||||
>
|
||||
{#each fn.parameters as param}
|
||||
{#if param["name"] != "self"}
|
||||
<tr class="group hover:bg-gray-200/60 odd:bg-gray-100/80">
|
||||
<td class="p-3 w-2/5 break-words">
|
||||
<code class="block">
|
||||
{param["name"]}
|
||||
</code>
|
||||
<p class="text-gray-500 italic">{param["annotation"]}</p>
|
||||
{#if "default" in param}
|
||||
<p class="text-gray-500 font-semibold">
|
||||
default: {param["default"]}
|
||||
</p>
|
||||
{:else if !("kwargs" in param)}
|
||||
<p class="text-orange-600 font-semibold italic">required</p>
|
||||
{/if}
|
||||
</td>
|
||||
<td class="p-3 text-gray-700 break-words">
|
||||
<p>{param["doc"] || ""}</p>
|
||||
</td>
|
||||
</tr>
|
||||
{/if}
|
||||
{/each}
|
||||
</tbody>
|
||||
</table>
|
||||
{/if}
|
||||
</div>
|
||||
93
js/_website/src/components/Header.svelte
Normal file
93
js/_website/src/components/Header.svelte
Normal file
@ -0,0 +1,93 @@
|
||||
<script lang="ts">
|
||||
import { store } from "../routes/+layout.svelte";
|
||||
|
||||
import { gradio_logo, github_black } from "../assets";
|
||||
|
||||
let click_nav = false;
|
||||
let show_help_menu = false;
|
||||
let show_nav = false;
|
||||
$: show_nav = click_nav || $store?.lg;
|
||||
</script>
|
||||
|
||||
<div
|
||||
class="container mx-auto flex flex-wrap justify-between flex-row relative items-center px-4 py-5 gap-6 text-lg z-50"
|
||||
>
|
||||
<a href="/">
|
||||
<img src={gradio_logo} alt="Gradio logo" />
|
||||
</a>
|
||||
<svg
|
||||
class="h-8 w-8 lg:hidden"
|
||||
viewBox="-10 -10 20 20"
|
||||
on:click={() => (click_nav = !click_nav)}
|
||||
>
|
||||
<rect x="-7" y="-6" width="14" height="2" />
|
||||
<rect x="-7" y="-1" width="14" height="2" />
|
||||
<rect x="-7" y="4" width="14" height="2" />
|
||||
</svg>
|
||||
<nav
|
||||
class:hidden={!show_nav}
|
||||
class="w-full flex-col gap-3 lg:flex lg:w-auto lg:flex-row lg:gap-8"
|
||||
>
|
||||
<a class="thin-link flex items-center gap-3" href="/guides/quickstart"
|
||||
><span>⚡</span> <span>Quickstart</span>
|
||||
</a>
|
||||
<a class="thin-link flex items-center gap-3" href="/docs"
|
||||
><span>✍️</span> <span>Docs</span>
|
||||
</a>
|
||||
<a class="thin-link flex items-center gap-3" href="/guides"
|
||||
><span>💡</span> <span>Guides</span></a
|
||||
>
|
||||
<a class="thin-link flex items-center gap-3" href="/demos"
|
||||
><span>🎢</span> <span>Demos</span></a
|
||||
>
|
||||
<div
|
||||
on:mouseenter={() => (show_help_menu = true)}
|
||||
on:mouseleave={() => (show_help_menu = false)}
|
||||
class="group relative flex cursor-pointer items-center gap-3"
|
||||
>
|
||||
<span>🖐</span> <span>Community</span>
|
||||
<svg
|
||||
class="h-4 w-4"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 20 20"
|
||||
>
|
||||
<path
|
||||
d="M9.293 12.95l.707.707L15.657 8l-1.414-1.414L10 10.828 5.757 6.586 4.343 8z"
|
||||
/>
|
||||
</svg>
|
||||
{#if show_help_menu}
|
||||
<div
|
||||
class="help-menu absolute top-6 w-52 flex-col bg-white shadow group-hover:flex sm:right-0"
|
||||
>
|
||||
<a
|
||||
class="thin-link inline-block px-4 py-2 hover:bg-gray-100"
|
||||
href="https://github.com/gradio-app/gradio/issues/new/choose"
|
||||
target="_blank">File an Issue</a
|
||||
>
|
||||
<a
|
||||
class="thin-link inline-block px-4 py-2 hover:bg-gray-100"
|
||||
href="https://discuss.huggingface.co/c/gradio/26"
|
||||
target="_blank">Discuss</a
|
||||
>
|
||||
<a
|
||||
class="thin-link inline-block px-4 py-2 hover:bg-gray-100"
|
||||
target="_blank"
|
||||
href="https://discord.gg/feTf9x3ZSB">Discord</a
|
||||
>
|
||||
<a
|
||||
class="thin-link inline-block px-4 py-2 hover:bg-gray-100"
|
||||
target="_blank"
|
||||
href="https://gradio.curated.co/">Newsletter</a
|
||||
>
|
||||
</div>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
<a
|
||||
class="thin-link flex items-center gap-3"
|
||||
href="https://github.com/gradio-app/gradio"
|
||||
>
|
||||
<img src={github_black} class="w-6" alt="Github logo" />
|
||||
</a>
|
||||
</nav>
|
||||
</div>
|
||||
27
js/_website/src/components/MetaTags.svelte
Normal file
27
js/_website/src/components/MetaTags.svelte
Normal file
@ -0,0 +1,27 @@
|
||||
<script lang="ts">
|
||||
import image from "../assets/img/meta-image.png";
|
||||
export let title = "Gradio";
|
||||
export let description = "Build & Share Delightful Machine Learning Apps";
|
||||
export let url: string;
|
||||
export let canonical: string;
|
||||
</script>
|
||||
|
||||
<svelte:head>
|
||||
<title>{title}</title>
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
||||
<meta name="description" content={description} />
|
||||
<meta name="author" content="Gradio Team" />
|
||||
<meta property="og:title" content={title} />
|
||||
<meta property="og:type" content="website" />
|
||||
<meta property="og:url" content={url} />
|
||||
<meta property="og:description" content={description} />
|
||||
<meta property="og:image" content={image} />
|
||||
<meta name="twitter:card" content="summary_large_image" />
|
||||
<meta name="twitter:creator" content="@Gradio" />
|
||||
<meta name="twitter:title" content={title} />
|
||||
<meta name="twitter:description" content="{description}." />
|
||||
<meta name="twitter:image" content={image} />
|
||||
|
||||
<link rel="canonical" href={canonical} />
|
||||
</svelte:head>
|
||||
25
js/_website/src/components/clickOutside.ts
Normal file
25
js/_website/src/components/clickOutside.ts
Normal file
@ -0,0 +1,25 @@
|
||||
/** Dispatch event on click outside of node */
|
||||
declare namespace svelte.JSX {
|
||||
interface HTMLProps<T> {
|
||||
onclick_outside?: (e: CustomEvent) => void;
|
||||
}
|
||||
}
|
||||
|
||||
export function clickOutside(node: Node) {
|
||||
|
||||
const handleClick = (event: MouseEvent) => {
|
||||
if (node && !node.contains(event.target as Node) && !event.defaultPrevented) {
|
||||
node.dispatchEvent(
|
||||
new CustomEvent('click_outside', node as any)
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
document.addEventListener('click', handleClick, true);
|
||||
|
||||
return {
|
||||
destroy() {
|
||||
document.removeEventListener('click', handleClick, true);
|
||||
}
|
||||
}
|
||||
}
|
||||
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