micropip torch torchvision pillow import gradio as gr import micropip # Force-install pure Python wheel versions to bypass C-extension issues await micropip.install("huggingface_hub>=1.0.0") await micropip.install("https://files.pythonhosted.org/packages/py3/f/fastai/fastai-2.7.18-py3-none-any.whl") from fastai.vision.all import * learn = load_learner("model.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))} image = gr.Image() label = gr.Label(num_top_classes=3) demo = gr.Interface(fn=predict, inputs=image, outputs=label) demo.launch()