mirror/gradio
2
0
Fork 0
mirror of https://github.com/gradio-app/gradio.git synced 2024-11-21 01:01:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Abubakar Abid 2019-03-30 12:49:02 -07:00 committed by GitHub
parent 56a323d2a1
commit 4e0669fff5
1 changed files with 9 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
README.md
View File

@ -12,21 +12,19 @@ pip install gradio
## Usage
Gradio is very easy to use with your existing code. The general way it's used is something like this:
Gradio is very easy to use with your existing code. Here is a minimum working example:
```python
import tensorflow as tf
import gradio
import tensorflow as tf
image_mdl = tf.keras.applications.inception_v3.InceptionV3()
mdl = tf.keras.models.Sequential()
# ... define and train the model as you would normally
iface = gradio.Interface(input=“sketchpad”, output=“class”, model_type=“keras”, model=mdl)
iface.launch()
io = gradio.Interface(inputs="imageupload", outputs="label", model_type="keras", model=image_mdl)
io.launch()
```
Changing the `input` and `output` parameters in the `Interface` face object allow you to create different interfaces, depending on the needs of your model. Take a look at the python notebooks for more examples. The currently supported interfaces are as follows:
You can supply your own model instead of the pretrained model above, as well as use different kinds of models, not just keras models. Changing the `input` and `output` parameters in the `Interface` face object allow you to create different interfaces, depending on the needs of your model. Take a look at the python notebooks for more examples. The currently supported interfaces are as follows:
**Input interfaces**:
* Sketchpad
@ -69,5 +67,8 @@ iface.launch()
![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/sentiment_positive.png)
### More Documentation
More detailed documentation can be found on the gradio website: www.gradio.app.