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| # Load modules | |
| from fastai.text.all import * | |
| import gradio as gr | |
| # Load trained model | |
| learn = load_learner("model.pkl") | |
| # Prepare classifier function and categories | |
| categories = ("negative", "positive") | |
| def classify_text(text): | |
| pred, idx, probs = learn.predict(text) | |
| # Same as {"negative": probs[0], "positive": probs[1]} | |
| return dict(zip(categories, map(float, probs))) | |
| # Setup input, output GUI, and algorithm block | |
| image = gr.inputs.Textbox() | |
| label = gr.outputs.Label() | |
| intf = gr.Interface(fn=classify_text, inputs=image, outputs=label) | |
| intf.launch(inline=False) | |