from fastai.vision.all import * import gradio as gr def Octopus_or_Squid(x): return x[0].isupper() learn = load_learner('model.pkl') categories = ('Octopus','Squid') def classify_image(img): pred,idx,probs = learn.predict(img) return dict(zip(categories,map(float,probs))) image=gr.inputs.Image(shape=(192,192)) label=gr.outputs.Label() examples=['Octopus.jpg','Squid.jpg'] intf=gr.Interface(fn=classify_image,inputs=image,outputs=label, examples=examples) intf.launch(inline=False)