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| import gradio as gr | |
| from bertopic import BERTopic | |
| topic_model = BERTopic.load("davanstrien/label_model") | |
| def predict_topic(document): | |
| topics, probabilities = topic_model.transform([document]) | |
| return {"Predicted Topic": topics[0], "Probabilities": probabilities[0].tolist()} | |
| # Create the Gradio interface | |
| iface = gr.Interface( | |
| fn=predict_topic, | |
| inputs=gr.inputs.Textbox(lines=5, placeholder="Enter your idea here..."), | |
| outputs=[ | |
| gr.outputs.Textbox(label="Predicted Topic"), | |
| gr.outputs.Label(label="Topic Probabilities") | |
| ], | |
| title="BERTopic Inference", | |
| description="Enter a single idea to get the predicted topic and its probabilities." | |
| ) | |
| # Launch the interface | |
| iface.launch() | |