| import gradio as gr | |
| from fastai.vision.all import load_learner, PILImage | |
| learn = load_learner('model.pkl') | |
| def classify_image(image): | |
| pred, _, probs = learn.predict(image) | |
| return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))} | |
| interface = gr.Interface( | |
| fn=classify_image, | |
| inputs=gr.Image(type='pil'), # Updated to new API | |
| outputs=gr.Label(num_top_classes=3), # Updated to new API | |
| title="Potato Plant Disease Classifier", | |
| description="Potato leaf:" | |
| ) | |
| if __name__ == "__main__": | |
| interface.launch(share=True) | |