Uploaded

.streamlit/config.toml

@@ -0,0 +1,2 @@
+[browser]
+gatherUsageStats = false

Dockerfile

@@ -1,27 +1,28 @@
 # Use a stable, official Python image
 FROM python:3.10-slim
 
-# --- THIS IS THE FIX ---
-# Install system-level dependencies needed to build audio packages like PyAudio.
-# `build-essential` contains the gcc compiler.
-# `portaudio19-dev` contains the development headers for PortAudio.
+# --- FIX 1: Install system dependencies for audio package compilation ---
 RUN apt-get update && apt-get install -y \
     build-essential \
     portaudio19-dev \
     && rm -rf /var/lib/apt/lists/*
 
-# Set the working directory inside the container
+# Set the working directory
 WORKDIR /app
 
-# Copy the requirements file and install dependencies
-# This leverages Docker caching to speed up future builds
+# --- FIX 2: Create a directory for Streamlit config and copy our new config file ---
+# This prevents the PermissionError by disabling telemetry.
+RUN mkdir -p .streamlit
+COPY .streamlit/config.toml .streamlit/
+
+# Copy requirements and install them
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the rest of your application files into the container
+# Copy the rest of the application files
 COPY . .
 
-# Expose the port that Hugging Face uses for Streamlit apps
+# Expose the port Hugging Face uses
 EXPOSE 7860
 
 # Command to run the application

app.py

@@ -24,7 +24,6 @@ def load_and_set_config():
 
 # --- VAPI Call Logic ---
 def place_vapi_call(config, customer_number, raw_intent, target_name):
-    # Process intent to generate a good first message
     genai.configure(api_key=config["GEMINI_API_KEY"])
     model = genai.GenerativeModel('gemini-1.5-flash')
     
@@ -47,10 +46,9 @@ def place_vapi_call(config, customer_number, raw_intent, target_name):
         st.error(f"Error with Gemini: {e}")
         return None
 
-    # Place the actual call
     try:
         vapi = Vapi(token=config["VAPI_API_KEY"])
-        system_prompt = "You are a helpful and polite AI assistant named Alex. Your first sentence has already been spoken. You are now in an active conversation. Listen carefully and respond naturally. Continue the conversation in the language the other person is speaking (English or Hindi)."
+        system_prompt = "You are a helpful and polite AI assistant named Alex. Your first sentence has already been spoken. Listen carefully and respond naturally. Continue the conversation in the language the other person is speaking (English or Hindi)."
         
         return vapi.calls.create(
             assistant_id=config["VAPI_ASSISTANT_ID"],
@@ -68,12 +66,11 @@ def place_vapi_call(config, customer_number, raw_intent, target_name):
         st.error(f"An error occurred placing the Vapi call: {e}")
         return None
 
-# --- FLASK WEBHOOK (Runs in the Background) ---
+# --- FLASK WEBHOOK ---
 flask_app = Flask(__name__)
 
 def log_to_google_sheet(row_data, config):
     try:
-        print("[Log] Attempting to log to Google Sheets...")
         if not os.path.exists("credentials.json"):
             print("[Log] FATAL: 'credentials.json' not found.")
             return
@@ -89,7 +86,7 @@ def log_to_google_sheet(row_data, config):
 
 @flask_app.route("/webhook", methods=['POST'])
 def webhook_handler():
-    print(f"\n--- Webhook received POST request from Vapi at {datetime.now()} ---")
+    print(f"\n--- Webhook received POST request at {datetime.now()} ---")
     try:
         payload = request.json
         if payload.get('message', {}).get('type') == 'hang':
@@ -108,45 +105,19 @@ def webhook_handler():
     return jsonify({'status': 'success'}), 200
 
 def run_flask():
-    # Running on a different port than Streamlit
     flask_app.run(host="0.0.0.0", port=8080)
 
-# --- STREAMLIT UI (Main Application) ---
+# --- STREAMLIT UI ---
 def run_streamlit():
     st.set_page_config(page_title="Voice AI Coordinator", layout="centered")
-
-    # Custom CSS for a pleasing look
-    st.markdown("""
-        <style>
-            .stApp {
-                background-color: #f0f2f5;
-            }
-            .stForm {
-                background-color: white;
-                padding: 2em;
-                border-radius: 10px;
-                box-shadow: 0 4px 12px rgba(0,0,0,0.1);
-            }
-            .stButton>button {
-                width: 100%;
-                border: none;
-                border-radius: 5px;
-                padding: 10px;
-                font-weight: bold;
-                color: white;
-                background-color: #ff4b4b;
-            }
-        </style>
-    """, unsafe_allow_html=True)
-
+    st.markdown("""<style>.stApp{background-color: #f0f2f5;} .stForm{background-color: white; padding: 2em; border-radius: 10px; box-shadow: 0 4px 12px rgba(0,0,0,0.1);} .stButton>button{width: 100%; border: none; border-radius: 5px; padding: 10px; font-weight: bold; color: white; background-color: #ff4b4b;}</style>""", unsafe_allow_html=True)
     st.title("🚀 Voice AI Coordination Tool")
     st.markdown("A unified interface to deploy intelligent voice agents on your behalf.")
 
-    # Load configuration
     try:
         config = load_and_set_config()
     except Exception as e:
-        st.error(f"Failed to load configuration. Please ensure APP_CONFIG_JSON secret is set correctly. Error: {e}")
+        st.error(f"Failed to load configuration. Error: {e}")
         st.stop()
 
     with st.form(key="call_form"):
@@ -154,7 +125,6 @@ def run_streamlit():
         target_name = st.text_input("Whom are you calling? (Optional)", placeholder="e.g., Jane Doe")
         phone_number = st.text_input("Phone Number (with country code)", placeholder="+911234567890")
         raw_intent = st.text_area("Reason for Calling", placeholder="Ask if they would prefer tea or coffee", height=100)
-        
         submit_button = st.form_submit_button(label="Deploy Call")
 
     if submit_button:
@@ -165,15 +135,11 @@ def run_streamlit():
                 call_response = place_vapi_call(config, phone_number, raw_intent, target_name)
                 if call_response and call_response.id:
                     st.success(f"✅ Call deployed successfully! Call ID: {call_response.id}")
-                    st.info("The call is being connected. Once it ends, the data will be logged to your Google Sheet.")
                     st.balloons()
                 else:
                     st.error("❌ Failed to deploy the call. Please check the Space logs for errors.")
 
 if __name__ == "__main__":
-    # Run Flask in a background daemon thread
     flask_thread = threading.Thread(target=run_flask, daemon=True)
     flask_thread.start()
-    
-    # Run the main Streamlit app
     run_streamlit()