Update app.py

app.py

@@ -1,228 +1,101 @@
-import torch
-from flask import Flask, render_template, request, jsonify, redirect, session
 import os
-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 flask import Flask, render_template, request, jsonify, session, redirect
 from simple_salesforce import Salesforce
-import requests
 
-# Initialize Flask app
 app = Flask(__name__)
 
 # Secret key for session management
-app.secret_key = os.urandom(24)  # For session management (secure)
-
-# Set the device for processing
-device = "cuda" if torch.cuda.is_available() else "cpu"
-
-# Whisper ASR model configuration for speech recognition
-config = AutoConfig.from_pretrained("openai/whisper-small")
-config.update({"timeout": 60})  # Set timeout to 60 seconds
+app.secret_key = os.urandom(24)
 
 # Salesforce Connection Setup
 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)}")
 
-
-# Functions for Salesforce Operations
-def create_salesforce_record(sf, name, email, phone_number):
+# Function to create Salesforce record
+def create_salesforce_record(name, email, phone):
     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_number
+            'Phone_Number__c': phone
         })
         return customer_login
     except Exception as e:
-        raise Exception(f"Failed to create record: {str(e)}")
-
-
-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']
-
-
-# Voice-related function to generate audio prompts
-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 function to convert audio files to WAV format
-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)}")
+        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')
 
-# Utility function to check for silence in audio
-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)
-    print(f"Detected nonsilent parts: {nonsilent_parts}")
-    return len(nonsilent_parts) == 0  # If no speech detected
+        if not name or not email or not phone:
+            return jsonify({'error': 'Missing required fields'}), 400
 
+        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
 
-# Routes for Handling Views
-@app.route("/")
-def index():
-    return render_template("index.html")
+            # Return success response with a message
+            return jsonify({'success': True, 'message': f'Hi {name}, welcome to Briyani Hub!'}), 200
 
+        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
 
-@app.route("/dashboard", methods=["GET"])
-def dashboard():
-    return render_template("dashboard.html")
+    return render_template("register.html")  # This will render your register page if it's a GET request
 
-
-@app.route('/login', methods=['POST'])
+# Route to handle the login form submission
+@app.route("/login", methods=["POST"])
 def login():
-    # Get data from the voice bot (name, email, phone number)
-    data = request.json  # Assuming the voice bot sends JSON data
-    name = data.get('name')
-    email = data.get('email')
-    phone_number = data.get('phone_number')
+    email = request.json.get('email')
+    phone = request.json.get('phone')
 
-    if not name or not email or not phone_number:
+    if not email or not phone:
         return jsonify({'error': 'Missing required fields'}), 400
 
     try:
-        # Create a Salesforce record for the customer
-        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:
-        return jsonify({'error': f'Failed to create record in Salesforce: {str(e)}'}), 500
-
-
-@app.route("/menu", methods=["GET"])
-def menu_page():
-    # Fetch menu items from Salesforce
-    menu_items = get_menu_items(sf)
-    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)
+        # 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
 
+    except Exception as e:
+        print(f"Error during login: {str(e)}")
+        return jsonify({'error': f'Error during login: {str(e)}'}), 500
 
+# Route for handling the cart (this could be updated later to handle actual cart data)
 @app.route("/cart", methods=["GET"])
 def cart():
-    # Retrieve cart items from session
-    cart_items = session.get('cart_items', [])
-    return render_template("cart_page.html", cart_items=cart_items)
-
+    return render_template("cart_page.html")
 
+# Route for the order summary page
 @app.route("/order-summary", methods=["GET"])
 def order_summary():
-    # Retrieve the 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 session after confirming order
-    session.pop('cart_items', None)
-    return render_template("final_order.html")
-
-
-@app.route("/order", methods=["POST"])
-def place_order():
-    # Adding items to the cart
-    item_name = request.json.get('item_name')
-    quantity = request.json.get('quantity')
-
-    # Store the item in session cart
-    cart_items = session.get('cart_items', [])
-    cart_items.append({"name": item_name, "quantity": quantity, "price": 10})  # Example with fixed price
-    session['cart_items'] = cart_items  # Save the updated cart to 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:
-        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)
-
-    try:
-        # Convert audio to WAV format
-        convert_to_wav(input_audio_path, output_audio_path)
-
-        # Check if audio contains 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, replace with actual logic
-
-        if user_confirms:
-            # Create a record in Salesforce
-            salesforce_response = create_salesforce_record(name, email, phone_number)
-
-            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
+    return render_template("order_summary.html")
 
+# 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)
 
-# Start Production Server
 if __name__ == "__main__":
-    serve(app, host="0.0.0.0", port=7860)
+    app.run(debug=True)