Create app.py

app.py

@@ -0,0 +1,159 @@
+import os
+import time
+import logging
+import json
+import requests
+import torch
+from flask import Flask, render_template, request, jsonify, session
+from flask_session import Session
+from simple_salesforce import Salesforce
+from transformers import pipeline, AutoConfig
+from gtts import gTTS
+from pydub import AudioSegment
+from pydub.silence import detect_nonsilent
+from waitress import serve
+
+app = Flask(__name__)
+
+# Configure Flask session
+app.secret_key = os.getenv("SECRET_KEY", "sSSjyhInIsUohKpG8sHzty2q")
+app.config["SESSION_TYPE"] = "filesystem"
+Session(app)
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+
+# Connect to Salesforce
+try:
+    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)}")
+
+# Whisper ASR Configuration
+device = "cuda" if torch.cuda.is_available() else "cpu"
+config = AutoConfig.from_pretrained("openai/whisper-small")
+config.update({"timeout": 60})
+
+# 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."
+}
+
+# Function to generate voice prompts
+def generate_audio_prompt(text, filename):
+    try:
+        tts = gTTS(text)
+        tts.save(os.path.join("static", filename))
+    except gtts.tts.gTTSError as e:
+        time.sleep(5)
+        generate_audio_prompt(text, filename)
+
+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):
+    audio = AudioSegment.from_file(input_path)
+    audio = audio.set_frame_rate(16000).set_channels(1)
+    audio.export(output_path, format="wav")
+
+# 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
+
+@app.route("/")
+def index():
+    return render_template("index.html")
+
+# ✅ LOGIN ENDPOINT
+@app.route('/login', methods=['POST'])
+def login():
+    data = request.json
+    email = data.get('email', '').strip().lower()
+    phone_number = data.get('phone_number', '').strip()
+
+    if not email or not phone_number:
+        return jsonify({'error': 'Missing email or phone number'}), 400
+
+    try:
+        query = f"SELECT Id, Name FROM Customer_Login__c WHERE LOWER(Email__c) = '{email}' AND Phone_Number__c = '{phone_number}' LIMIT 1"
+        result = sf.query(query)
+
+        if result['totalSize'] == 0:
+            return jsonify({'error': 'Invalid email or phone number. User not found'}), 401
+
+        user_data = result['records'][0]
+        session['user_id'] = user_data['Id']
+        session['name'] = user_data['Name']
+
+        return jsonify({'success': True, 'message': 'Login successful', 'user_id': user_data['Id'], 'name': user_data['Name']}), 200
+
+    except Exception as e:
+        return jsonify({'error': f'Unexpected error: {str(e)}'}), 500
+
+# ✅ REGISTRATION ENDPOINT
+@app.route("/register", methods=["POST"])
+def register():
+    data = request.json
+    name = data.get('name', '').strip()
+    email = data.get('email', '').strip().lower()
+    phone = data.get('phone', '').strip()
+
+    if not name or not email or not phone:
+        return jsonify({'error': 'Missing data'}), 400
+
+    try:
+        query = f"SELECT Id FROM Customer_Login__c WHERE LOWER(Email__c) = '{email}' AND Phone_Number__c = '{phone}' LIMIT 1"
+        existing_user = sf.query(query)
+
+        if existing_user['totalSize'] > 0:
+            return jsonify({'error': 'User already exists'}), 409
+
+        customer_login = sf.Customer_Login__c.create({
+            'Name': name,
+            'Email__c': email,
+            'Phone_Number__c': phone
+        })
+
+        if customer_login.get('id'):
+            return jsonify({'success': True, 'user_id': customer_login['id']}), 200
+        else:
+            return jsonify({'error': 'Failed to create record'}), 500
+
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500
+
+# ✅ TRANSCRIPTION ENDPOINT
+@app.route("/transcribe", methods=["POST"])
+def transcribe():
+    if "audio" not in request.files:
+        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(input_audio_path, output_audio_path)
+
+        if is_silent_audio(output_audio_path):
+            return jsonify({"error": "No speech detected. Please try again."}), 400
+
+        result = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1, config=config)
+        transcribed_text = result(output_audio_path)["text"].strip().capitalize()
+
+        return jsonify({"text": transcribed_text})
+
+    except Exception as 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)