Update app.py

app.py

@@ -1,73 +1,28 @@
-import torch  # <-- Import the torch module
-from simple_salesforce import Salesforce
+import torch
 from flask import Flask, render_template, request, jsonify
 import json
-import time
+import os
+from transformers import pipeline
 from gtts import gTTS
 from pydub import AudioSegment
 from pydub.silence import detect_nonsilent
-from transformers import pipeline
-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 datetime
 
-# Initialize Flask App
 app = Flask(__name__, template_folder="templates")
 app.secret_key = os.urandom(24)
 
-# Use whisper-small for faster processing and better speed
-device = "cuda" if torch.cuda.is_available() else "cpu"
-
-# 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
-
-# Function to generate audio prompts
-def generate_audio_prompt(text, filename):
-    try:
-        tts = gTTS(text)
-        tts.save(os.path.join("static", filename))
-    except Exception as e:
-        print(f"Error: {e}")
-        time.sleep(5)  # Wait before retrying
-        generate_audio_prompt(text, filename)
-
-# Generate required voice prompts
-prompts = {
-    "welcome": "Welcome to Biryani Hub.",
-    "ask_name": "Tell me your name.",
-    "ask_email": "Please provide your email address.",
-    "thank_you": "Thank you for registration."
-}
-
-for key, text in prompts.items():
-    generate_audio_prompt(text, f"{key}.mp3")
-
-# Function to convert audio 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:
-        raise Exception(f"Audio conversion failed: {str(e)}")
-
-# Function to check if audio contains actual speech
-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)
-    return len(nonsilent_parts) == 0
-
-# Salesforce connection details (hardcoded)
-username = '[email protected]'
-password = 'Sati@1020'
-security_token = 'sSSjyhInIsUohKpG8sHzty2q'
-
+# ✅ Salesforce Connection Setup
 try:
     print("Attempting to connect to Salesforce...")
-    sf = Salesforce(username=username, password=password, security_token=security_token)
-    print("Connected to Salesforce successfully!")
+    sf = Salesforce(username='[email protected]', password='Sati@1020', security_token='sSSjyhInIsUohKpG8sHzty2q')
+    print("✅ Connected to Salesforce successfully!")
 except Exception as e:
-    print(f"Failed to connect to Salesforce: {str(e)}")
+    print(f"❌ Failed to connect to Salesforce: {str(e)}")
 
 # ✅ HOME ROUTE (Loads `index.html`)
 @app.route("/", methods=["GET"])
@@ -79,10 +34,25 @@ def index():
 def dashboard():
     return render_template("dashboard.html")
 
-# ✅ MENU PAGE ROUTE
+# ✅ MENU PAGE ROUTE (NEWLY ADDED)
 @app.route("/menu_page", methods=["GET"])
 def menu_page():
-    return render_template("menu_page.html")
+    try:
+        query = "SELECT Name, Price__c, Ingredients__c, Category__c FROM Menu_Item__c"
+        result = sf.query(query)
+
+        menu_items = []
+        for item in result["records"]:
+            menu_items.append({
+                "name": item["Name"],
+                "price": item["Price__c"],
+                "ingredients": item["Ingredients__c"],
+                "category": item["Category__c"]
+            })
+
+        return render_template("menu_page.html", menu=menu_items)
+    except Exception as e:
+        return jsonify({"error": f"Failed to fetch menu: {str(e)}"}), 500
 
 # ✅ LOGIN API
 @app.route('/login', methods=['POST'])
@@ -126,68 +96,42 @@ def submit():
     except Exception as e:
         return jsonify({'error': str(e)}), 500
 
-# ✅ TRANSCRIBE AUDIO API
-@app.route("/transcribe", methods=["POST"])
-def transcribe():
-    if "audio" not in request.files:
-        return jsonify({"error": "No audio file provided"}), 400
+# ✅ PLACE ORDER API (Sends order data to Salesforce)
+@app.route("/place_order", methods=["POST"])
+def place_order():
+    data = request.json
+    order_items = data.get('order_items')  # List of items added to the cart
+    total_price = data.get('total_price')  # Total price of the order
+    customer_name = data.get('customer_name')  # Customer details
+    customer_email = data.get('customer_email')
 
-    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)
+    if not order_items or not total_price or not customer_name or not customer_email:
+        return jsonify({'error': 'Missing required fields'}), 400
 
+    # Creating order record in Salesforce
     try:
-        convert_to_wav(input_audio_path, output_audio_path)
-        if is_silent_audio(output_audio_path):
-            return jsonify({"error": "No speech detected. Please try again."}), 400
-
-        asr_pipeline = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1, config=config)
-        result = asr_pipeline(output_audio_path)
-
-        transcribed_text = result["text"].strip().capitalize()
-
-        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"
-
-        confirmation = f"Is this correct? Name: {name}, Email: {email}, Phone: {phone_number}"
-        generate_audio_prompt(confirmation, "confirmation.mp3")
-
-        salesforce_response = sf.Customer_Login__c.create({
-            'Name': name,
-            'Email__c': email,
-            'Phone_Number__c': phone_number
+        # Create Order record
+        order = sf.Order.create({
+            'Customer_Name__c': customer_name,
+            'Customer_Email__c': customer_email,
+            'Total_Price__c': total_price,
+            'Order_Date__c': str(datetime.datetime.now()),  # Date when the order was placed
+            'Status__c': 'New'
         })
 
-        return jsonify({"text": transcribed_text, "salesforce_record": salesforce_response})
-
-    except Exception as e:
-        return jsonify({"error": f"Speech recognition error: {str(e)}"}), 500
-
-# ✅ MENU API
-@app.route("/menu", methods=["GET"])
-def get_menu():
-    try:
-        # Fetch menu items from Salesforce
-        query = "SELECT Name, Price__c, Ingredients__c, Category__c FROM Menu_Item__c"
-        result = sf.query(query)
-
-        menu_items = []
-        for item in result["records"]:
-            menu_items.append({
-                "name": item["Name"],
-                "price": item["Price__c"],
-                "ingredients": item["Ingredients__c"],
-                "category": item["Category__c"]
+        # Create Order Line Items (for each item in the order)
+        for item in order_items:
+            sf.Order_Line_Item__c.create({
+                'Order__c': order['id'],  # Linking to the order
+                'Item_Name__c': item['name'],
+                'Price__c': item['price'],
+                'Quantity__c': item['quantity'],
+                'Total_Price__c': item['price'] * item['quantity']
             })
 
-        # Pass the menu items to the template
-        return render_template("menu_page.html", menu=menu_items)
-
+        return jsonify({'success': True, 'order_id': order['id']}), 200
     except Exception as e:
-        return jsonify({"error": f"Failed to fetch menu: {str(e)}"}), 500
+        return jsonify({'error': f'Failed to create order in Salesforce: {str(e)}'}), 500
 
 # ✅ START PRODUCTION SERVER
 if __name__ == "__main__":