| | import gradio as gr |
| | from fastai.vision.all import * |
| |
|
| | def is_cat(x): return x[0].isupper() |
| | learn =load_learner ('model.pkl') |
| | categories =['dog','Cat'] |
| | def classify_image(img): |
| | pred,idx,probs = learn.predict(img) |
| | return dict(zip(categories,map(float,probs))) |
| |
|
| | def hello(name): |
| | return f'Hello {name}' |
| |
|
| | image=gr.inputs.Image(shape=(192,192)) |
| | label =gr.outputs.Label() |
| | examples = ['dog.jpg','Cat_November_2010-1a.jpg',"Snapchat.jpg"] |
| | intf =gr.Interface(fn=classify_image,inputs =image,outputs=label,examples=examples) |
| | |
| |
|
| | intf.launch() |
| |
|
