Update README.md

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Abubakar Abid 2019-03-30 12:49:49 -07:00 committed by GitHub
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@ -33,35 +33,35 @@ You can supply your own model instead of the pretrained model above, as well as
* Textbox * Textbox
**Output interfaces**: **Output interfaces**:
* Class * Label
* Textbox * Textbox
## Screenshots ## Screenshots
Here are a few screenshots that show examples of gradio interfaces Here are a few screenshots that show examples of gradio interfaces
#### MNIST Digit Recognition (Input: Sketchpad, Output: Class) #### MNIST Digit Recognition (Input: Sketchpad, Output: Label)
```python ```python
iface = gradio.Interface(input='sketchpad', output='class', model=model, model_type='keras') iface = gradio.Interface(input='sketchpad', output='label', model=model, model_type='keras')
iface.launch() iface.launch()
``` ```
![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/mnist4.png) ![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/mnist4.png)
#### Facial Emotion Detector (Input: Webcam, Output: Class) #### Facial Emotion Detector (Input: Webcam, Output: Label)
```python ```python
iface = gradio.Interface(input='webcam', output='class', model=model, model_type='keras') iface = gradio.Interface(inputs='webcam', outputs='label', model=model, model_type='keras')
iface.launch() iface.launch()
``` ```
![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/webcam_happy.png) ![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/webcam_happy.png)
#### Sentiment Analysis (Input: Textbox, Output: Class) #### Sentiment Analysis (Input: Textbox, Output: Label)
```python ```python
iface = gradio.Interface(input='textbox', output='class', model=model, model_type='keras') iface = gradio.Interface(inputs='textbox', outputs='label', model=model, model_type='keras')
iface.launch() iface.launch()
``` ```
@ -69,6 +69,6 @@ iface.launch()
### More Documentation ### More Documentation
More detailed documentation can be found on the gradio website: www.gradio.app. More detailed and up-to-date documentation can be found on the gradio website: www.gradio.app.