| import gradio as gr | |
| import pickle | |
| # pip install -Uqq fastbook | |
| # from fastbook import * | |
| from fastai.vision.all import * | |
| from fastai.learner import load_learner | |
| # Load the trained model | |
| learn = load_learner('model.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| pred, _, probs = learn.predict(img) | |
| return f"This is a {pred} with probability {probs[pred_idx]}" | |
| # Create the Gradio interface | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs=gr.Image(), | |
| outputs="text" | |
| ) | |
| iface.launch(share=True) |