Update app.py

app.py

@@ -1,27 +1,43 @@
+import os
+import logging
+import time
 import torch
 from flask import Flask, render_template, request, jsonify
-import json
-import os
-from transformers import pipeline
+from transformers import pipeline, AutoConfig
 from gtts import gTTS
 from pydub import AudioSegment
 from pydub.silence import detect_nonsilent
-from transformers import AutoConfig
-import time
-from waitress import serve
 from simple_salesforce import Salesforce
+from waitress import serve
 import requests
 
+# Initialize Flask app
 app = Flask(__name__)
 
-# Use whisper-small for faster processing and better speed
+# Set the secret key to handle sessions securely
+app.secret_key = os.getenv("SECRET_KEY", "sSSjyhInIsUohKpG8sHzty2q")
+
+# Configure the session type
+app.config["SESSION_TYPE"] = "filesystem"
+app.config["SESSION_COOKIE_NAME"] = "my_session"
+app.config["SESSION_COOKIE_SECURE"] = True
+app.config["SESSION_COOKIE_SAMESITE"] = "None"
+
+# Initialize the session (Make sure to import Session at the top of your file)
+from flask_session import Session
+Session(app)
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+
+# Set device for torch
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# Create config object to set timeout and other parameters
+# Create config object for Whisper model
 config = AutoConfig.from_pretrained("openai/whisper-small")
 config.update({"timeout": 60})
 
-# Generate required voice prompts
+# Create voice prompts
 prompts = {
     "welcome": "Welcome to Biryani Hub.",
     "ask_name": "Tell me your name.",
@@ -35,11 +51,12 @@ def generate_audio_prompt(text, filename):
         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...")
+        logging.error(f"Error generating audio: {e}")
+        logging.info("Retrying after 5 seconds...")
         time.sleep(5)
         generate_audio_prompt(text, filename)
 
+# Generate all prompts
 for key, text in prompts.items():
     generate_audio_prompt(text, f"{key}.mp3")
 
@@ -65,7 +82,7 @@ def convert_to_wav(input_path, output_path):
     except Exception as e:
         raise Exception(f"Audio conversion failed: {str(e)}")
 
-# Function to check if audio contains actual speech
+# Function to check if audio contains 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)
@@ -73,22 +90,20 @@ def is_silent_audio(audio_path):
 
 # Salesforce connection details
 try:
-    print("Attempting to connect to Salesforce...")
+    logging.info("Attempting to connect to Salesforce...")
     sf = Salesforce(username='[email protected]', password='Sati@1020', security_token='sSSjyhInIsUohKpG8sHzty2q')
-    print("Connected to Salesforce successfully!")
+    logging.info("Connected to Salesforce successfully!")
 except Exception as e:
-    print(f"Failed to connect to Salesforce: {str(e)}")
+    logging.error(f"Failed to connect to Salesforce: {str(e)}")
 
-# Function to handle login & registration in Salesforce
+# Route to validate user login
 @app.route("/validate_login", methods=["POST"])
 def validate_login():
     try:
-        # Get the email and mobile number from the request
         data = request.json
         email = data.get("email")
         mobile = data.get("mobile")
 
-        # Salesforce query to check if the email and mobile exist
         query = f"SELECT Id, Name FROM Customer_Login__c WHERE Email__c = '{email}' AND Phone_Number__c = '{mobile}'"
         result = sf.query(query)
 
@@ -97,64 +112,33 @@ def validate_login():
         else:
             return jsonify({'success': False, 'error': 'Invalid email or mobile number.'}), 400
     except Exception as e:
-        logging.error(f"Error: {str(e)}")
+        logging.error(f"Error during login validation: {str(e)}")
         return jsonify({'error': 'Something went wrong. Please try again later.'}), 500
 
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860, debug=True)
-
-
-
-# Initialize Flask app
-app = Flask(__name__)
-
-# Set the secret key to handle sessions securely
-app.secret_key = os.getenv("SECRET_KEY", "sSSjyhInIsUohKpG8sHzty2q")  # Replace with a secure key
-
-# Configure the session type
-app.config["SESSION_TYPE"] = "filesystem"  # Use filesystem for session storage
-app.config["SESSION_COOKIE_NAME"] = "my_session"  # Optional: Change session cookie name
-app.config["SESSION_COOKIE_SECURE"] = True  # Ensure cookies are sent over HTTPS
-app.config["SESSION_COOKIE_SAMESITE"] = "None"  # Allow cross-site cookies
-
-# Initialize the session
-Session(app)
-
-# Set up logging
-logging.basicConfig(level=logging.INFO)
-
+# Route to serve the home page for voice-based login
 @app.route("/")
 def index():
-    # Serve the HTML page for the voice-based login
     return render_template("index.html")
 
+# Route to capture email and mobile from voice
 @app.route("/capture_email_and_mobile", methods=["POST"])
 def capture_email_and_mobile():
     try:
-        # Get the voice captured email and mobile number from the request
         data = request.json
         email = data.get("email")
         mobile = data.get("mobile")
 
-        # Validate the captured email and mobile number
         if not email or not mobile:
             return jsonify({"error": "Email or mobile number is missing."}), 400
 
-        # Log the captured data for now (you can replace it with actual processing logic)
         logging.info(f"Captured Email: {email}, Mobile: {mobile}")
-        
-        # For simplicity, we'll assume the capture was successful.
         return jsonify({"success": True, "message": "Email and mobile captured successfully."}), 200
 
     except Exception as e:
-        logging.error(f"Error: {str(e)}")
+        logging.error(f"Error in capturing email and mobile: {str(e)}")
         return jsonify({"error": "Something went wrong while processing."}), 500
 
-
-@app.route("/")
-def index():
-    return render_template("index.html")
-
+# Route to handle audio transcription
 @app.route("/transcribe", methods=["POST"])
 def transcribe():
     if "audio" not in request.files:
@@ -182,6 +166,6 @@ def transcribe():
     except Exception as e:
         return jsonify({"error": f"Speech recognition error: {str(e)}"}), 500
 
-# Start Production Server
+# Start the production server
 if __name__ == "__main__":
-    serve(app, host="0.0.0.0", port=7860)
+    serve(app, host="0.0.0.0", port=7860)