| import os | |
| os.system('pip install -r tmp/requirements.txt') | |
| from fastai.vision.all import load_learner | |
| import gradio as gr | |
| # Load the model | |
| model_path = "convnext_model/convnext_model.pkl" | |
| learn = load_learner(model_path) | |
| # Prediction function | |
| def predict(image): | |
| pred, _, probs = learn.predict(image) | |
| return pred | |
| # Gradio interface | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs="image", | |
| outputs="label", | |
| title="Greens classifier", | |
| description="Dill, Parsley, Coriander or Watercress?" | |
| ) | |
| iface.launch() |