mirror/gradio
2
0
Fork 0
mirror of https://github.com/gradio-app/gradio.git synced 2025-01-18 10:44:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Abubakar Abid 2019-02-19 22:26:48 -08:00 committed by GitHub
parent b85e6b823f
commit 20929b79ec
1 changed files with 17 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
README.md
View File

@ -12,10 +12,10 @@ pip install gradio
## Usage
Gradio is super simple to use. The general way it works is something liek this:
Gradio is very easy to use with your existing code. The general way it's used is something like this:
```
```python
import tensorflow as tf
import gradio
@ -45,14 +45,29 @@ Here are a few screenshots that show examples of gradio interfaces
#### MNIST Digit Recognition (Input: Sketchpad, Output: Class)
```python
iface = gradio.Interface(input='sketchpad', output='class', model=model, model_type='keras')
iface.launch()
```
![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/mnist4.png)
#### Facial Emotion Detector (Input: Webcam, Output: Class)
```python
iface = gradio.Interface(input='webcam', output='class', model=model, model_type='keras')
iface.launch()
```
![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/webcam_happy.png)
#### Sentiment Analysis (Input: Textbox, Output: Class)
```python
iface = gradio.Interface(input='textbox', output='class', model=model, model_type='keras')
iface.launch()
```
![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/sentiment_positive.png)