app.py

import gradio as gr
from fastai.vision.all import load_learner, PILImage

# Load your exported fastai model
model_path = "export.pkl"  # your exported .pkl
learn = load_learner(model_path)

# Prediction function
def predict(image):
    img = PILImage.create(image)  # ensure it's a fastai PILImage
    pred_class, pred_idx, outputs = learn.predict(img)

    return (str(pred_class))

# Gradio interface
iface = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="pil"),
    outputs=gr.Textbox(label="Prediction"),
    title="FastAI Image Classification",
    description="Upload an image to get prediction from your exported fastai model."
)

if __name__ == "__main__":
    iface.launch(server_name="0.0.0.0", server_port=7860)