Go to file
2019-02-19 00:42:53 -08:00
.idea fixed typo in setup.py file 2019-02-19 00:42:53 -08:00
.ipynb_checkpoints merged 2019-02-17 18:42:09 -08:00
build/lib/gradio added requirements to push package 2019-02-19 00:26:09 -08:00
css image upload 2019-02-18 23:45:20 -08:00
dist fixed typo in setup.py file 2019-02-19 00:42:53 -08:00
gradio added requirements to push package 2019-02-19 00:26:09 -08:00
gradio.egg-info fixed typo in setup.py file 2019-02-19 00:42:53 -08:00
img Improved index page 2019-01-06 15:41:09 -08:00
js merged 2019-02-19 00:13:15 -08:00
templates merged 2019-02-19 00:13:15 -08:00
.gitignore merged 2019-02-18 22:04:08 -08:00
Emotional Detector.ipynb image upload 2019-02-18 23:45:20 -08:00
index.html seperated inputs and outputs, added webcam interface 2019-02-16 20:11:28 -08:00
README.md Create README.md 2019-01-24 23:34:09 -08:00
Sentiment Analysis (textbox to class) .ipynb added ability to run multiple interfaces without restarting 2019-02-19 00:11:46 -08:00
setup.py fixed typo in setup.py file 2019-02-19 00:42:53 -08:00
Test Notebook.ipynb merged 2019-02-19 00:13:15 -08:00
Usage.ipynb merged 2019-02-18 22:04:08 -08:00

Gradiome / Gradio

Gradio is a python library that allows you to place input and output interfaces over trained models to make it easy for you to "play around" with your model. Gradio runs entirely locally using your browser.

To get started understanding gradio, I recommend you go in the following order:

  1. Run the Usage.ipynb python notebook
  2. Look at the gradio.py code
  3. Look at the templates/draw_a_digit.html

You'll notice that gradio includes both front-end design (in the HTML folder) as well as back-end design (gradio.py).