import gradio as gr from fastai.vision.all import * import skimage 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))} title = "Fruit Classifier" app = gr.Interface(fn=predict, inputs="image", outputs="label",title=title) app.launch()