from fastai.vision.all import * import gradio as gr # def greet(name): # return "Hello " + name + "!!" # iface = gr.Interface(fn=greet, inputs="text", outputs="text") # iface.launch() learn = load_learner('export.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))} examples = ['aesthetic-pancakes.jpg', 'messy-oatmeal.png', 'messy-plating.png'] gr.Interface(fn=predict, inputs=gr.Image(shape=(512, 512)), outputs=gr.Label(num_top_classes=3), examples=examples).launch(share=False)