app.py

import streamlit as st
from transformers import pipeline
import requests
from geopy.geocoders import Nominatim


API_URL = "https://api-inference.huggingface.co/models/dmis-lab/biobert-base-cased-v1.1"
headers = {"Authorization": "secret"}

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()


def main():
    st.title("Healthcare Companion")
    st.write("This app provides healthcare guidance, prescription information, and locates nearby clinics or pharmacies.")

    # User input for medical question
    question = st.text_input("Enter your medical question:")
    if question:
        context = "General medical context."  # Adjust this as needed
        result = query({"inputs": {"question": question, "context": context}})
        st.write("**Answer:**")
        st.write(result.get('answer', "Sorry, I don't know the answer."))

    # User input for address to find nearby clinics/pharmacies
    address = st.text_input("Enter your address to find nearby clinics/pharmacies:")
    if address:
        location = find_nearby_clinics(address)
        st.write(f"**Nearby Clinics/Pharmacies (Coordinates):** {location}")

    # Additional features like prescription info can be added similarly

if __name__ == "__main__":
    main()