Upload 3 files

Dockerfile

@@ -0,0 +1,14 @@
+FROM python:3.9
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+# Run the Flask API
+CMD ["python", "app.py"]

app.py

@@ -0,0 +1,54 @@
+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)
+

requirements.txt

@@ -0,0 +1,5 @@
+google-generativeai
+Flask
+twilio
+requests
+