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 2019-03-30 12:49:49 -07:00 committed by GitHub
parent a12a968a2c
commit 7a6d47a1b8
1 changed files with 8 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
README.md
View File

@ -33,35 +33,35 @@ You can supply your own model instead of the pretrained model above, as well as
* Textbox
**Output interfaces**:
* Class
* Label
* Textbox
## Screenshots
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
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()
```
![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
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()
```
![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
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()
```
@ -69,6 +69,6 @@ iface.launch()
### 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.