import gradio as gr from fastai.vision.all import * # def greet(name): # return "Hello " + name + "!!" learn = load_learner('mig_or_su.pkl') labels = learn.dls.vocab def predict(img): img = PILImage.create(img) pred,pred_idx,probs = learn.predict(img) return {labels[i]: float(probs[i]) for i in range(len(labels))} gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch() # iface = gr.Interface(fn=greet, inputs="text", outputs="text") # iface.launch()