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| from fastai.text.all import * | |
| import gradio as gr | |
| learn = load_learner('model.pkl') | |
| description = "Medical Diagnosis" | |
| categories = (['Allergy', 'Anemia', 'Bronchitis', 'Diabetes', 'Diarrhea', 'Fatigue', 'Flu', 'Malaria', 'Stress']) | |
| def classify_text(txt): | |
| pred,idx,probs = learn.predict(txt) | |
| return dict(zip(categories, map(float,probs))) | |
| text = gr.Textbox(lines=2, label='Describe how you feel in great detail') | |
| label = gr.Label() | |
| examples = ['I have no intrest in physical activity. i am always thirsty', 'I am freezing', 'My eyes are pale'] | |
| intf = gr.Interface(fn=classify_text, inputs=text, outputs=label, examples=examples, description=description) | |
| intf.launch(inline=False) | |