Update app.py

app.py

@@ -6,11 +6,11 @@ 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__)
 
@@ -26,14 +26,12 @@ 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 for Salesforce operations
 def create_salesforce_record(name, email, phone_number):
     try:
-        # Create a new record in Salesforce's Customer_Login__c object
         customer_login = sf.Customer_Login__c.create({
             'Name': name,
             'Email__c': email,
@@ -57,15 +55,14 @@ def generate_audio_prompt(text, filename):
         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
+        time.sleep(5)  # Retry after 5 seconds
         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 = audio.set_frame_rate(16000).set_channels(1)
         audio.export(output_path, format="wav")
     except Exception as e:
         print(f"Error: {str(e)}")
@@ -73,8 +70,7 @@ def convert_to_wav(input_path, output_path):
 
 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}")
+    nonsilent_parts = detect_nonsilent(audio, min_silence_len=500, silence_thresh=audio.dBFS-16)
     return len(nonsilent_parts) == 0  # If no speech detected
 
 # Routes and Views
@@ -84,54 +80,39 @@ def index():
 
 @app.route("/dashboard", methods=["GET"])
 def dashboard():
-    return render_template("dashboard.html")  # Render the dashboard template
+    return render_template("dashboard.html")
 
 @app.route('/submit', methods=['POST'])
 def submit():
     try:
-        # Ensure JSON is being received
         data = request.get_json()
-        print("Received Data:", data)  # Debugging line
-
         if not data:
             return jsonify({"success": False, "message": "Invalid or empty JSON received"}), 400
 
-        # Get the values from the JSON data
         name = data.get("name")
         email = data.get("email")
         phone = data.get("phone")
 
-        # Validate if all fields are present
         if not name or not email or not phone:
             return jsonify({"success": False, "message": "Missing required fields"}), 400
 
-        # Prepare data for Salesforce submission
-        salesforce_data = {
-            "Name": name,
-            "Email__c": email,  # Ensure this is the correct field API name in Salesforce
-            "Phone_Number__c": phone  # Ensure this is the correct field API name in Salesforce
-        }
-
-        # Insert data into Salesforce using simple_salesforce
+        # Insert data into Salesforce
+        salesforce_data = {"Name": name, "Email__c": email, "Phone_Number__c": phone}
         try:
-            result = sf.Customer_Login__c.create(salesforce_data)  # Replace `Customer_Login__c` with your Salesforce object API name
-            print(f"Salesforce Response: {result}")  # Debugging line
-
+            result = sf.Customer_Login__c.create(salesforce_data)
             return jsonify({"success": True, "message": "Data submitted successfully"})
-        
         except Exception as e:
-            if "STORAGE_LIMIT_EXCEEDED" in str(e):
-                return jsonify({"success": False, "message": "Salesforce storage limit exceeded. Please clean up or contact support."}), 500
-            else:
-                print(f"Salesforce Insertion Error: {str(e)}")  # Log Salesforce errors
-                return jsonify({"success": False, "message": "Salesforce submission failed", "error": str(e)}), 500
-
+            return jsonify({"success": False, "message": "Salesforce submission failed", "error": str(e)}), 500
     except Exception as e:
-        print(f"Server Error: {str(e)}")  # Log general errors
         return jsonify({"success": False, "message": "Internal server error", "error": str(e)}), 500
 
+@app.route("/menu", methods=["GET"])
+def menu_page():
+    menu_items = get_menu_items()
+    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)
 
-@app.route('/validate-login', methods=['POST'])
+@app.route("/validate-login", methods=["POST"])
 def validate_login():
     try:
         # Ensure JSON is being received
@@ -149,49 +130,62 @@ def validate_login():
 
         if result['records']:
             # If a matching record is found, return success and the name
-            user_name = result['records'][0]['Name']  # Assuming the 'Name' field is present in the Salesforce object
+            user_name = result['records'][0]['Name']
             return jsonify({"success": True, "message": "Login successful", "name": user_name})
         else:
             # If no matching record is found
             return jsonify({"success": False, "message": "Invalid email or mobile number"}), 401
 
     except Exception as e:
-        print(f"Error validating login: {str(e)}")
         return jsonify({"success": False, "message": "Internal server error", "error": str(e)}), 500
 
-
-@app.route("/menu", methods=["GET"])
-def menu_page():
-    menu_items = get_menu_items()
-    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 order
 @app.route("/order", methods=["POST"])
 def place_order():
-    # Get item name and quantity from the incoming request
-    item_name = request.json.get('item_name')
-    quantity = request.json.get('quantity')
+    order_data = request.json
+
+    # Get order details from the request
+    customer_name = order_data.get("customerName")
+    customer_email = order_data.get("customerEmail")
+    customer_phone = order_data.get("customerPhone")
+    customer_address = order_data.get("customerAddress")
+    items = order_data.get("items")
+    total_amount = order_data.get("totalAmount")
+
+    # Ensure all required fields are present
+    if not customer_name or not customer_email or not customer_phone or not customer_address or not items or not total_amount:
+        return jsonify({"success": False, "message": "Missing required fields"}), 400
 
-    # Prepare data to be sent to Salesforce (assuming Order__c is a custom object in Salesforce)
-    order_data = {
-        "Item__c": item_name,   # Item__c corresponds to the Salesforce field for the item
-        "Quantity__c": quantity # Quantity__c corresponds to the Salesforce field for quantity
-    }
+    try:
+        # Create the order in Salesforce (custom object Order__c)
+        order = sf.Order__c.create({
+            "Customer_Name__c": customer_name,
+            "Customer_Email__c": customer_email,
+            "Customer_Phone__c": customer_phone,
+            "Customer_Address__c": customer_address,
+            "Total_Amount__c": total_amount
+        })
+
+        # Optionally create order items in a related object or as line items
+        for item in items:
+            sf.Order_Item__c.create({
+                "Order__c": order['id'],  # Link to the parent order
+                "Item__c": item['name'],
+                "Quantity__c": item['quantity'],
+                "Price__c": item['price']
+            })
 
-    # Send the order data to Salesforce (sf is a Salesforce instance)
-    sf.Order__c.create(order_data)
+        # Return success response
+        return jsonify({"success": True, "message": "Order placed successfully."})
 
-    # Return a success message to the frontend
-    return jsonify({"success": True, "message": f"Order for {item_name} placed successfully."})
+    except Exception as e:
+        # If an error occurs, return an error message
+        return jsonify({"success": False, "message": f"Error placing order: {str(e)}"}), 500
 
-# 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)
 
-# Route for the order summary page
 @app.route("/order-summary", methods=["GET"])
 def order_summary():
     order_details = []  # Placeholder for order details
@@ -200,7 +194,6 @@ def order_summary():
 @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"]
@@ -209,65 +202,35 @@ def transcribe():
     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
 
+        result = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1, config=config)
         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
+        user_confirms = True  # Assuming user confirms, replace with actual 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__":
     serve(app, host="0.0.0.0", port=7860)