Update app.py

app.py

@@ -6,82 +6,47 @@ from transformers import pipeline
 from gtts import gTTS
 from pydub import AudioSegment
 from pydub.silence import detect_nonsilent
-from transformers import AutoConfig  # Import AutoConfig for the config object
+from transformers import AutoConfig
 import time
 from waitress import serve
 from simple_salesforce import Salesforce
-import requests  # Import requests for exception handling
+import requests
 
 app = Flask(__name__)
 
-# Use whisper-small for faster processing and better speed
+# Use whisper-small for faster processing
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# Create config object to set timeout and other parameters
+# Create config object to set timeout
 config = AutoConfig.from_pretrained("openai/whisper-small")
-config.update({"timeout": 60})  # Set timeout to 60 seconds
+config.update({"timeout": 60})
 
-# Salesforce connection details
+# Salesforce connection
 try:
     print("Attempting to connect to Salesforce...")
     sf = Salesforce(username='diggavalli98@gmail.com', 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 fetch menu items from Salesforce
+def get_menu_items():
     try:
-        customer_login = sf.Customer_Login__c.create({
-            'Name': name,
-            'Email__c': email,
-            'Phone_Number__c': phone_number
-        })
-        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 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")
+        query = "SELECT Name, Price__c, Ingredients__c, Category__c FROM Menu_Item__c"
+        result = sf.query(query)
+        return result['records']
     except Exception as e:
-        print(f"Error: {str(e)}")
-        raise Exception(f"Audio conversion failed: {str(e)}")
-
-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
+        print(f"Error fetching menu items: {str(e)}")
+        return []
 
-# Routes and Views
+# Route to serve menu page
 @app.route("/")
 def index():
     return render_template("index.html")
 
 @app.route("/dashboard", methods=["GET"])
 def dashboard():
-    return render_template("dashboard.html")  # Render the dashboard template
+    return render_template("dashboard.html")
 
 @app.route('/login', methods=['POST'])
 def login():
@@ -94,18 +59,26 @@ def login():
         return jsonify({'error': 'Missing required fields'}), 400
 
     try:
-        customer_login = create_salesforce_record(sf, name, email, phone_number)
+        customer_login = sf.Customer_Login__c.create({
+            'Name': name,
+            'Email__c': email,
+            'Phone_Number__c': phone_number
+        })
         return jsonify({'success': True, 'message': 'Successfully logged in'}), 200
     except Exception as e:
         return jsonify({'error': f'Failed to create record in Salesforce: {str(e)}'}), 500
 
+# Route to fetch menu items dynamically
+@app.route("/get-menu", methods=["GET"])
+def get_menu():
+    menu_items = get_menu_items()
+    return jsonify(menu_items)
+
+# Route to render menu page
 @app.route("/menu", methods=["GET"])
 def menu_page():
-    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)
+    return render_template("menu_page.html")
 
-# Route for handling order
 @app.route("/order", methods=["POST"])
 def place_order():
     item_name = request.json.get('item_name')
@@ -114,88 +87,13 @@ def place_order():
     sf.Order__c.create(order_data)
     return jsonify({"success": True, "message": f"Order for {item_name} placed successfully."})
 
-# Route to handle the cart
 @app.route("/cart", methods=["GET"])
 def cart():
-    cart_items = []  # Placeholder for 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():
-    order_details = []  # Placeholder for order details
-    return render_template("order_summary.html", order_details=order_details)
-
-@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)
-
-    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 "unknown@domain.com"
-        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
+    return render_template("order_summary.html")
 
 # Start Production Server
 if __name__ == "__main__":