from flask import Flask, request, jsonify
import google.generativeai as genai
import os

import os
# api_key = os.getenv("api_key")
# # Configure API key
# GOOGLE_API_KEY = api_key # Or hardcode for testing
# genai.configure(api_key=GOOGLE_API_KEY)

# # Initialize model
# model = genai.GenerativeModel('gemini-1.5-flash')

# Medical_prompt = """you are sahha chatbot ,You are a knowledgeable medical expert. Analyze the provided medical input and generate a comprehensive, informative response that addresses the patient's query or medical scenario and give me brief answer in short .
# ### Input:
# {input_text}
# ### Response:
# """

# def generate_response(input_text):
#     prompt = Medical_prompt.format(input_text=input_text)
#     try:
#         response = model.generate_content(prompt)
#         return response.text.strip()
#     except Exception as e:
#         return f"❌ Error: {str(e)}"


def generate_response(input_text):
    try:
        return "Hello"
    except Exception as e:
        return f"❌ Error: {str(e)}"

app = Flask(__name__)

@app.route('/', methods=['GET'])
def home():
    return "✅ Sahha chatbot using Gemini is Running", 200

@app.route('/Q&A', methods=['POST'])
def QandAnswer():
    try:
        user_input = request.json.get('input_text')
        if not user_input:
            return jsonify({'error': 'Missing input_text'}), 400

        response = generate_response(user_input)
        return jsonify({'Answers': response})

    except Exception as e:
        return jsonify({'error': str(e)}), 500