Update app.py

app.py

@@ -6,47 +6,82 @@ from transformers import pipeline
 from gtts import gTTS
 from pydub import AudioSegment
 from pydub.silence import detect_nonsilent
-from transformers import AutoConfig
+from transformers import AutoConfig  # Import AutoConfig for the config object
 import time
 from waitress import serve
 from simple_salesforce import Salesforce
-import requests
+import requests  # Import requests for exception handling
 
 app = Flask(__name__)
 
-# Use whisper-small for faster processing
+# Use whisper-small for faster processing and better speed
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# Create config object to set timeout
+# Create config object to set timeout and other parameters
 config = AutoConfig.from_pretrained("openai/whisper-small")
-config.update({"timeout": 60})
+config.update({"timeout": 60})  # Set timeout to 60 seconds
 
-# Salesforce connection
+# Salesforce connection details
 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)}")
 
-# Function to fetch menu items from Salesforce
-def get_menu_items():
+# Functions for Salesforce operations
+def create_salesforce_record(sf, name, email, phone_number):
     try:
-        query = "SELECT Name, Price__c, Ingredients__c, Category__c FROM Menu_Item__c"
-        result = sf.query(query)
-        return result['records']
+        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")
     except Exception as e:
-        print(f"Error fetching menu items: {str(e)}")
-        return []
+        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
 
-# Route to serve menu page
+# Routes and Views
 @app.route("/")
 def index():
     return render_template("index.html")
 
 @app.route("/dashboard", methods=["GET"])
 def dashboard():
-    return render_template("dashboard.html")
+    return render_template("dashboard.html")  # Render the dashboard template
 
 @app.route('/login', methods=['POST'])
 def login():
@@ -59,26 +94,18 @@ def login():
         return jsonify({'error': 'Missing required fields'}), 400
 
     try:
-        customer_login = sf.Customer_Login__c.create({
-            'Name': name,
-            'Email__c': email,
-            'Phone_Number__c': phone_number
-        })
+        customer_login = create_salesforce_record(sf, name, email, 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():
-    return render_template("menu_page.html")
+    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)
 
+# Route for handling order
 @app.route("/order", methods=["POST"])
 def place_order():
     item_name = request.json.get('item_name')
@@ -87,14 +114,89 @@ 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():
-    return render_template("cart_page.html")
+    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():
-    return render_template("order_summary.html")
+    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
 
 # Start Production Server
 if __name__ == "__main__":
-    serve(app, host="0.0.0.0", port=7860)
+    serve(app, host="0.0.0.0", port=7860)