Nefflymicn/Human_Activity

1from fastai.vision.all import *2import gradio as gr3 4def is_cat(x):5    return x[0].isupper()6 7learn = load_learner('model.pkl')8 9categories = ("Dog","Cat")10 11def classify_image(img):12    pred,idx,probs = learn.predict(img)13    return dict(zip(categories, map(float,probs)))14 15 16intf = gr.Interface(fn=classify_image, inputs=gr.Image(width=192, height=192), outputs=gr.Label(), examples=['dog.jpg','cat.jpg'])17intf.launch(inline=False)18