| from transformers import pipeline | |
| # AI Pipeline Load Karo | |
| nlp = pipeline("question-answering", model="dmis-lab/biobert-base-cased-v1.1") | |
| # Function: Symptoms Ka Answer Generate Karega | |
| def get_medical_advice(symptoms): | |
| response = nlp({ | |
| 'question': f"Best medicine for {symptoms}?", | |
| 'context': "Provide medicine recommendations based on disease." | |
| }) | |
| return response['answer'] | |
| # Example Call | |
| symptoms = "fever and headache" | |
| print(get_medical_advice(symptoms)) |