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| import gradio as gr | |
| import joblib | |
| # Load your model | |
| model = joblib.load("emotion_classifier_pipe_lr.pkl") | |
| def predict_emotion(text): | |
| prediction = model.predict([text])[0] | |
| return prediction | |
| iface = gr.Interface( | |
| fn=predict_emotion, | |
| inputs=gr.Textbox(lines=2, placeholder="Enter your diary text here..."), | |
| outputs="text", | |
| title="Dementia Diary Emotion Predictor", | |
| description="Enter diary text, and the model predicts the emotion." | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() |