app.py

from flask import Flask, request, jsonify
from twilio.twiml.voice_response import VoiceResponse, Gather
import google.generativeai as genai
import requests

# Initialize the Flask app
app = Flask(__name__)

# Configure Google Generative AI
GOOGLE_API_KEY = "AIzaSyAs7z8GwXN-elBeq_mS-NGd..."
genai.configure(api_key=GOOGLE_API_KEY)
def generate_answer(question):
    prompt = f"""
    You're a calling agent who asks users if they're at home for their COD delivery
    Question: {question}
    """
    """Generate an AI-based answer for a question."""
    model = genai.GenerativeModel(
        'gemini-1.5-flash-001',
        generation_config={"response_mime_type": "application/json"}
    )
    response = model.generate(prompt)
    return response.text
# Endpoint to handle outbound call interactions
@app.route("/voice", methods=["POST"])
def voice_interaction():
    # Get the Twilio POST request data
    incoming_data = request.form
    user_speech = incoming_data.get("SpeechResult", "")

    response = VoiceResponse()

    if "goodbye" in user_speech.lower():
        response.say("Goodbye! Ending the call.")
        return str(response)

    # Generate a response using Generative AI
    try:
        
        ai_response = generate_answer(user_speech)
        ai_text_response = ai_response.get("text", "I could not generate a response.")
    except Exception as e:
        ai_text_response = "I'm sorry, I encountered an error generating a response."

    # Gather further input from the user
    gather = Gather(input="speech", action="/voice", method="POST")
    gather.say(ai_text_response)
    response.append(gather)

    return str(response)

if __name__ == "__main__":
    app.run(debug=True)