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Fix embedded demos (#3638)

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Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
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Freddy Boulton 2023-03-27 11:33:57 -04:00 committed by GitHub
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guides/05_tabular-data-science-and-plots/using-gradio-for-tabular-workflows.md
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@ -47,7 +47,7 @@ Let's break down above code.
We will now create an example for a minimal data visualization dashboard. You can find a more comprehensive version in the related Spaces.
<gradio-app space="scikit-learn/tabular-playground"></gradio-app>
<gradio-app space="gradio/tabular-playground"></gradio-app>
```python
import gradio as gr
@ -76,7 +76,7 @@ outputs = [gr.Gallery(label="Profiling Dashboard").style(grid=(1,3))]
gr.Interface(plot, inputs=inputs, outputs=outputs, examples=[df.head(100)], title="Supersoaker Failures Analysis Dashboard").launch()
```
<gradio-app space="merve/gradio-analysis-dashboard-minimal"></gradio-app>
<gradio-app space="gradio/gradio-analysis-dashboard-minimal"></gradio-app>
We will use the same dataset we used to train our model, but we will make a dashboard to visualize it this time.
@ -99,6 +99,6 @@ description = "This model predicts Supersoaker production line failures. Drag an
gr.Interface.load("huggingface/scikit-learn/tabular-playground", title=title, description=description).launch()
```
<gradio-app space="scikit-learn/gradio-skops-integation"></gradio-app>
<gradio-app space="gradio/gradio-skops-integration"></gradio-app>
`sklearn` models pushed to Hugging Face Hub using `skops` include a `config.json` file that contains an example input with column names, the task being solved (that can either be `tabular-classification` or `tabular-regression`). From the task type, `gradio` constructs the `Interface` and consumes column names and the example input to build it. You can [refer to skops documentation on hosting models on Hub](https://skops.readthedocs.io/en/latest/auto_examples/plot_hf_hub.html#sphx-glr-auto-examples-plot-hf-hub-py) to learn how to push your models to Hub using `skops`.