import torch from flask import Flask, render_template, request, jsonify import json 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 AutoConfig for the config object import time from waitress import serve from simple_salesforce import Salesforce import requests # Import requests for exception handling 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 try: print("Attempting to connect to Salesforce...") sf = Salesforce(username='diggavalli98@gmail.com', password='Sati@1020', security_token='sSSjyhInIsUohKpG8sHzty2q') print("✅ Connected to Salesforce successfully!") except Exception as e: print(f"Failed to connect to Salesforce: {str(e)}") # ✅ HOME ROUTE (Loads `index.html`) @app.route("/", methods=["GET"]) def index(): return render_template("index.html") # ✅ DASHBOARD ROUTE @app.route("/dashboard", methods=["GET"]) def dashboard(): return render_template("dashboard.html") # ✅ MENU PAGE ROUTE @app.route("/menu_page", methods=["GET"]) def menu_page(): 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 # ✅ CART PAGE ROUTE (NEWLY ADDED) @app.route("/cart_page", methods=["GET"]) def cart_page(): return render_template("cart_page.html") # ✅ LOGIN API @app.route('/login', methods=['POST']) def login(): data = request.json name = data.get('name') email = data.get('email') phone_number = data.get('phone_number') if not name or not email or not phone_number: 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 }) return jsonify({'success': True, 'id': customer_login['id']}), 200 except Exception as e: return jsonify({'error': f'Failed to create record in Salesforce: {str(e)}'}), 500 # ✅ REGISTER API @app.route("/submit", methods=["POST"]) def submit(): data = request.json name = data.get('name') email = data.get('email') phone = data.get('phone') if not name or not email or not phone: return jsonify({'error': 'Missing data'}), 400 try: customer_login = sf.Customer_Login__c.create({ 'Name': name, 'Email__c': email, 'Phone_Number__c': phone }) return jsonify({'success': True}), 200 except Exception as e: return jsonify({'error': str(e)}), 500 # ✅ MENU API @app.route("/menu", methods=["GET"]) def get_menu(): 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 jsonify({"success": True, "menu": menu_items}) except Exception as e: return jsonify({"error": f"Failed to fetch menu: {str(e)}"}), 500 # ✅ STATIC IMAGES ROUTE @app.route("/static/images/") def static_images(filename): return send_from_directory(os.path.join(app.root_path, 'static/images'), filename) # ✅ START PRODUCTION SERVER if __name__ == "__main__": print("✅ Starting Flask API Server on port 7860...") serve(app, host="0.0.0.0", port=7860)