Update app.py

app.py

@@ -1,101 +1,216 @@
+import torch
+from flask import Flask, render_template, request, jsonify, redirect, session
+import json
 import os
-from flask import Flask, render_template, request, jsonify, session, redirect
+from transformers import pipeline
+from gtts import gTTS
+from pydub import AudioSegment
+from pydub.silence import detect_nonsilent
+from transformers import AutoConfig
+import time
+from waitress import serve
 from simple_salesforce import Salesforce
+import requests
 
+# Initialize Flask app
 app = Flask(__name__)
+app.secret_key = os.urandom(24)  # For session handling
 
-# Secret key for session management
-app.secret_key = os.urandom(24)
+# Use whisper-small for faster processing and better speed
+device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# Salesforce Connection Setup
+# Create config object to set timeout and other parameters
+config = AutoConfig.from_pretrained("openai/whisper-small")
+config.update({"timeout": 60})  # Set timeout to 60 seconds
+
+# Salesforce connection details
 try:
     print("Attempting to connect to Salesforce...")
     sf = Salesforce(username='[email protected]', password='Sati@1020', security_token='sSSjyhInIsUohKpG8sHzty2q')
     print("Connected to Salesforce successfully!")
+    print("User Info:", sf.UserInfo)  # Log the user info to verify the connection
 except Exception as e:
     print(f"Failed to connect to Salesforce: {str(e)}")
 
-# Function to create Salesforce record
-def create_salesforce_record(name, email, phone):
+# Functions for Salesforce operations
+def create_salesforce_record(sf, name, email, phone_number):
     try:
-        # Create record in Salesforce's Customer_Login__c object
         customer_login = sf.Customer_Login__c.create({
             'Name': name,
             'Email__c': email,
-            'Phone_Number__c': phone
+            'Phone_Number__c': phone_number
         })
         return customer_login
     except Exception as e:
-        raise Exception(f"Failed to create record in Salesforce: {str(e)}")
-
-# Route to handle registration form submission
-@app.route("/register", methods=["POST", "GET"])
-def register():
-    if request.method == "POST":
-        name = request.json.get('name')
-        email = request.json.get('email')
-        phone = request.json.get('phone')
+        raise Exception(f"Failed to create record: {str(e)}")
 
-        if not name or not email or not phone:
-            return jsonify({'error': 'Missing required fields'}), 400
+def get_menu_items(sf):
+    query = "SELECT Name, Price__c, Ingredients__c, Category__c FROM Menu_Item__c"
+    result = sf.query(query)
+    return result['records']
 
-        try:
-            # Create Salesforce record for registration
-            customer_login = create_salesforce_record(name, email, phone)
-            session['customer_name'] = name  # Store customer name in session
-            session['customer_id'] = customer_login['id']  # Store Salesforce record ID in session
+# Voice-related functions
+def generate_audio_prompt(text, filename):
+    try:
+        tts = gTTS(text)
+        tts.save(os.path.join("static", filename))
+    except gtts.tts.gTTSError as e:
+        print(f"Error: {e}")
+        print("Retrying after 5 seconds...")
+        time.sleep(5)  # Wait for 5 seconds before retrying
+        generate_audio_prompt(text, filename)
+
+# Utility functions
+def convert_to_wav(input_path, output_path):
+    try:
+        audio = AudioSegment.from_file(input_path)
+        audio = audio.set_frame_rate(16000).set_channels(1)  # Convert to 16kHz, mono
+        audio.export(output_path, format="wav")
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        raise Exception(f"Audio conversion failed: {str(e)}")
 
-            # Return success response with a message
-            return jsonify({'success': True, 'message': f'Hi {name}, welcome to Briyani Hub!'}), 200
+def is_silent_audio(audio_path):
+    audio = AudioSegment.from_wav(audio_path)
+    nonsilent_parts = detect_nonsilent(audio, min_silence_len=500, silence_thresh=audio.dBFS-16)  # Reduced silence duration
+    print(f"Detected nonsilent parts: {nonsilent_parts}")
+    return len(nonsilent_parts) == 0  # If no speech detected
 
-        except Exception as e:
-            # Log the error and send a message to the frontend
-            print(f"Error during Salesforce submission: {str(e)}")
-            return jsonify({'error': f'Error submitting registration: {str(e)}'}), 500
+# Routes and Views
+@app.route("/")
+def index():
+    return render_template("index.html")
 
-    return render_template("register.html")  # This will render your register page if it's a GET request
+@app.route("/dashboard", methods=["GET"])
+def dashboard():
+    return render_template("dashboard.html")  # Render the dashboard template
 
-# Route to handle the login form submission
-@app.route("/login", methods=["POST"])
+@app.route('/login', methods=['POST'])
 def login():
-    email = request.json.get('email')
-    phone = request.json.get('phone')
+    # Get data from voice bot (name, email, phone number)
+    data = request.json  # Assuming voice bot sends JSON data
+    name = data.get('name')
+    email = data.get('email')
+    phone_number = data.get('phone_number')
 
-    if not email or not phone:
+    if not name or not email or not phone_number:
         return jsonify({'error': 'Missing required fields'}), 400
 
     try:
-        # Check if the user exists in Salesforce
-        result = sf.query(f"SELECT Id, Name, Email__c FROM Customer_Login__c WHERE Email__c = '{email}' AND Phone_Number__c = '{phone}'")
-        if result['totalSize'] > 0:
-            customer = result['records'][0]
-            session['customer_name'] = customer['Name']
-            session['customer_id'] = customer['Id']
-
-            # Return success message and redirect to menu
-            return jsonify({'success': True, 'message': f'Hi {customer["Name"]}, welcome back to Briyani Hub!'}), 200
-        else:
-            return jsonify({'error': 'Invalid email or phone number'}), 400
-
+        customer_login = create_salesforce_record(sf, name, email, phone_number)
+        session['customer_id'] = customer_login['id']  # Store customer ID in session
+        return redirect("/menu")  # Redirect to the menu page after successful login
     except Exception as e:
-        print(f"Error during login: {str(e)}")
-        return jsonify({'error': f'Error during login: {str(e)}'}), 500
+        return jsonify({'error': f'Failed to create record in Salesforce: {str(e)}'}), 500
+
+@app.route("/menu", methods=["GET"])
+def menu_page():
+    menu_items = get_menu_items(sf)  # Fetch menu items from Salesforce
+    menu_data = [{"name": item['Name'], "price": item['Price__c'], "ingredients": item['Ingredients__c'], "category": item['Category__c']} for item in menu_items]
+    return render_template("menu_page.html", menu_items=menu_data)
 
-# Route for handling the cart (this could be updated later to handle actual cart data)
 @app.route("/cart", methods=["GET"])
 def cart():
-    return render_template("cart_page.html")
+    # Retrieve cart items from session
+    cart_items = session.get('cart_items', [])
+    return render_template("cart_page.html", cart_items=cart_items)
 
-# Route for the order summary page
 @app.route("/order-summary", methods=["GET"])
 def order_summary():
-    return render_template("order_summary.html")
+    # Retrieve order details from session
+    order_details = session.get('cart_items', [])
+    total_price = sum(item['price'] * item['quantity'] for item in order_details)
+    return render_template("order_summary.html", order_details=order_details, total_price=total_price)
+
+@app.route("/final_order", methods=["GET"])
+def final_order():
+    # Clear cart items from the session after confirming the order
+    session.pop('cart_items', None)
+    return render_template("final_order.html")
+
+@app.route("/add_to_cart", methods=["POST"])
+def add_to_cart():
+    item_name = request.json.get('item_name')
+    quantity = request.json.get('quantity')
+    
+    # Retrieve the current cart items from session or initialize an empty list
+    cart_items = session.get('cart_items', [])
+    cart_items.append({"name": item_name, "quantity": quantity, "price": 10})  # Assuming a fixed price for now
+    session['cart_items'] = cart_items  # Save the updated cart items in session
+    
+    return jsonify({"success": True, "message": f"Added {item_name} to cart."})
+
+@app.route("/transcribe", methods=["POST"])
+def transcribe():
+    if "audio" not in request.files:
+        print("No audio file provided")
+        return jsonify({"error": "No audio file provided"}), 400
+
+    audio_file = request.files["audio"]
+    input_audio_path = os.path.join("static", "temp_input.wav")
+    output_audio_path = os.path.join("static", "temp.wav")
+    audio_file.save(input_audio_path)
 
-# Route to redirect to the menu page
-@app.route("/menu")
-def menu_page():
-    welcome_message = request.args.get("welcome_message", "")
-    return render_template("menu_page.html", welcome_message=welcome_message)
+    try:
+        # Convert to WAV
+        convert_to_wav(input_audio_path, output_audio_path)
+
+        # Check for silence
+        if is_silent_audio(output_audio_path):
+            return jsonify({"error": "No speech detected. Please try again."}), 400
+        else:
+            print("Audio contains speech, proceeding with transcription.")
+
+        # Use Whisper ASR model for transcription
+        result = None
+        retry_attempts = 3
+        for attempt in range(retry_attempts):
+            try:
+                result = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1, config=config)
+                print(f"Transcribed text: {result['text']}")
+                break
+            except requests.exceptions.ReadTimeout:
+                print(f"Timeout occurred, retrying attempt {attempt + 1}/{retry_attempts}...")
+                time.sleep(5)
+
+        if result is None:
+            return jsonify({"error": "Unable to transcribe audio after retries."}), 500
+
+        transcribed_text = result["text"].strip().capitalize()
+        print(f"Transcribed text: {transcribed_text}")
+
+        # Extract name, email, and phone number from the transcribed text
+        parts = transcribed_text.split()
+        name = parts[0] if len(parts) > 0 else "Unknown Name"
+        email = parts[1] if '@' in parts[1] else "[email protected]"
+        phone_number = parts[2] if len(parts) > 2 else "0000000000"
+        print(f"Parsed data - Name: {name}, Email: {email}, Phone Number: {phone_number}")
+
+        # Confirm details before submission
+        confirmation = f"Is this correct? Name: {name}, Email: {email}, Phone: {phone_number}"
+        generate_audio_prompt(confirmation, "confirmation.mp3")
+
+        # Simulate confirmation via user action
+        user_confirms = True  # Assuming the user confirms, you can replace this with actual user input logic
+
+        if user_confirms:
+            # Create record in Salesforce
+            salesforce_response = create_salesforce_record(name, email, phone_number)
+
+            # Log the Salesforce response
+            print(f"Salesforce record creation response: {salesforce_response}")
+
+            # Check if the response contains an error
+            if "error" in salesforce_response:
+                print(f"Error creating record in Salesforce: {salesforce_response['error']}")
+                return jsonify(salesforce_response), 500
+
+            return jsonify({"text": transcribed_text, "salesforce_record": salesforce_response})
+
+    except Exception as e:
+        print(f"Error in transcribing or processing: {str(e)}")
+        return jsonify({"error": f"Speech recognition error: {str(e)}"}), 500
 
+# Start Production Server
 if __name__ == "__main__":
-    app.run(debug=True)
+    serve(app, host="0.0.0.0", port=7860)