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Update app.py
Browse files
app.py
CHANGED
@@ -12,8 +12,7 @@ from waitress import serve
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from simple_salesforce import Salesforce
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import requests # Import requests for exception handling
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app = Flask(__name__
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app.secret_key = os.urandom(24)
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# Use whisper-small for faster processing and better speed
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device = "cuda" if torch.cuda.is_available() else "cpu"
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config = AutoConfig.from_pretrained("openai/whisper-small")
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config.update({"timeout": 60}) # Set timeout to 60 seconds
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#
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def generate_audio_prompt(text, filename):
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try:
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tts = gTTS(text)
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tts.save(os.path.join("static", filename))
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except
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print(f"Error: {e}")
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generate_audio_prompt(text, filename)
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#
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prompts = {
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"welcome": "Welcome to Biryani Hub.",
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"ask_name": "Tell me your name.",
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"ask_email": "Please provide your email address.",
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"thank_you": "Thank you for registration."
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}
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for key, text in prompts.items():
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generate_audio_prompt(text, f"{key}.mp3")
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# Function to convert audio to WAV format
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def convert_to_wav(input_path, output_path):
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try:
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audio = AudioSegment.from_file(input_path)
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audio = audio.set_frame_rate(16000).set_channels(1) # Convert to 16kHz, mono
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audio.export(output_path, format="wav")
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except Exception as e:
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raise Exception(f"Audio conversion failed: {str(e)}")
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# Function to check if audio contains actual speech
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def is_silent_audio(audio_path):
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audio = AudioSegment.from_wav(audio_path)
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nonsilent_parts = detect_nonsilent(audio, min_silence_len=500, silence_thresh=audio.dBFS-16)
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#
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print("Attempting to connect to Salesforce...")
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sf = Salesforce(username='diggavalli98@gmail.com', password='Sati@1020', security_token='sSSjyhInIsUohKpG8sHzty2q')
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print("Connected to Salesforce successfully!")
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except Exception as e:
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print(f"Failed to connect to Salesforce: {str(e)}")
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# ✅ HOME ROUTE (Loads `index.html`)
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@app.route("/", methods=["GET"])
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def index():
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return render_template("index.html")
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# ✅ DASHBOARD ROUTE
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@app.route("/dashboard", methods=["GET"])
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def dashboard():
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return render_template("dashboard.html")
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data = request.json
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name = data.get('name')
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email = data.get('email')
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phone_number = data.get('phone_number')
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if not name or not email or not phone_number:
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return jsonify({'error': 'Missing required fields'}), 400
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try:
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})
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return jsonify({'success': True, 'id': customer_login['id']}), 200
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except Exception as e:
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return jsonify({'error': f'Failed to create record in Salesforce: {str(e)}'}), 500
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#
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data = request.json
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name = data.get('name')
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email = data.get('email')
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phone = data.get('phone')
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try:
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customer_login = sf.Customer_Login__c.create({
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'Name': name,
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'Email__c': email,
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'Phone_Number__c': phone
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})
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return jsonify({'success': True}), 200
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except Exception as e:
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# ✅ TRANSCRIBE AUDIO API
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@app.route("/transcribe", methods=["POST"])
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def transcribe():
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if "audio" not in request.files:
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return jsonify({"error": "No audio file provided"}), 400
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audio_file = request.files["audio"]
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audio_file.save(input_audio_path)
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try:
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convert_to_wav(input_audio_path, output_audio_path)
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if is_silent_audio(output_audio_path):
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return jsonify({"error": "No speech detected. Please try again."}), 400
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transcribed_text = result["text"].strip().capitalize()
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parts = transcribed_text.split()
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name = parts[0] if len(parts) > 0 else "Unknown Name"
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email = parts[1] if '@' in parts[1] else "unknown@domain.com"
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phone_number = parts[2] if len(parts) > 2 else "0000000000"
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confirmation = f"Is this correct? Name: {name}, Email: {email}, Phone: {phone_number}"
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generate_audio_prompt(confirmation, "confirmation.mp3")
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'Email__c': email,
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'Phone_Number__c': phone_number
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})
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#
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# Fetch menu items from Salesforce
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query = "SELECT Name, Price__c, Ingredients__c, Category__c FROM Menu_Item__c"
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result = sf.query(query)
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menu_items = []
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for item in result["records"]:
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menu_items.append({
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"name": item["Name"],
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"price": item["Price__c"],
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"ingredients": item["Ingredients__c"],
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"category": item["Category__c"]
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})
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return render_template("menu_page.html", menu=menu_items)
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except Exception as e:
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#
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if __name__ == "__main__":
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print("✅ Starting Flask API Server on port 7860...")
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serve(app, host="0.0.0.0", port=7860)
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from simple_salesforce import Salesforce
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import requests # Import requests for exception handling
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app = Flask(__name__)
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# Use whisper-small for faster processing and better speed
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device = "cuda" if torch.cuda.is_available() else "cpu"
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config = AutoConfig.from_pretrained("openai/whisper-small")
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config.update({"timeout": 60}) # Set timeout to 60 seconds
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# Salesforce credentials (Replace with actual values)
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try:
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print("Attempting to connect to Salesforce...")
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sf = Salesforce(username='diggavalli98@gmail.com', password='Sati@1020', security_token='sSSjyhInIsUohKpG8sHzty2q')
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print("Connected to Salesforce successfully!")
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print("User Info:", sf.UserInfo) # Log the user info to verify the connection
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except Exception as e:
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print(f"Failed to connect to Salesforce: {str(e)}")
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# Function for Salesforce operations
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def create_salesforce_record(name, email, phone_number):
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try:
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# Create a new record in Salesforce's Customer_Login__c object
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customer_login = sf.Customer_Login__c.create({
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'Name': name,
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'Email__c': email,
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'Phone_Number__c': phone_number
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})
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return customer_login
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except SalesforceResourceNotFound as e:
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raise Exception(f"Salesforce resource not found: {str(e)}")
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except Exception as e:
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raise Exception(f"Failed to create record: {str(e)}")
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def get_menu_items():
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query = "SELECT Name, Price__c, Ingredients__c, Category__c FROM Menu_Item__c"
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result = sf.query(query)
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return result['records']
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# Voice-related functions
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def generate_audio_prompt(text, filename):
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try:
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tts = gTTS(text)
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tts.save(os.path.join("static", filename))
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except gtts.tts.gTTSError as e:
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print(f"Error: {e}")
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print("Retrying after 5 seconds...")
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time.sleep(5) # Wait for 5 seconds before retrying
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generate_audio_prompt(text, filename)
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# Utility functions
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def convert_to_wav(input_path, output_path):
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try:
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audio = AudioSegment.from_file(input_path)
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audio = audio.set_frame_rate(16000).set_channels(1) # Convert to 16kHz, mono
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audio.export(output_path, format="wav")
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except Exception as e:
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print(f"Error: {str(e)}")
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raise Exception(f"Audio conversion failed: {str(e)}")
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def is_silent_audio(audio_path):
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audio = AudioSegment.from_wav(audio_path)
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nonsilent_parts = detect_nonsilent(audio, min_silence_len=500, silence_thresh=audio.dBFS-16) # Reduced silence duration
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print(f"Detected nonsilent parts: {nonsilent_parts}")
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return len(nonsilent_parts) == 0 # If no speech detected
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# Routes and Views
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@app.route("/")
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def index():
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return render_template("index.html")
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@app.route("/dashboard", methods=["GET"])
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def dashboard():
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return render_template("dashboard.html") # Render the dashboard template
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@app.route('/submit', methods=['POST'])
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def submit():
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try:
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# Ensure JSON is being received
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data = request.get_json()
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print("Received Data:", data) # Debugging line
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if not data:
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return jsonify({"success": False, "message": "Invalid or empty JSON received"}), 400
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# Get the values from the JSON data
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name = data.get("name")
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email = data.get("email")
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phone = data.get("phone")
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# Validate if all fields are present
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if not name or not email or not phone:
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return jsonify({"success": False, "message": "Missing required fields"}), 400
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# Prepare data for Salesforce submission
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salesforce_data = {
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"Name": name,
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"Email__c": email, # Ensure this is the correct field API name in Salesforce
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"Phone_Number__c": phone # Ensure this is the correct field API name in Salesforce
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}
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# Insert data into Salesforce using simple_salesforce
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try:
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result = sf.Customer_Login__c.create(salesforce_data) # Replace `Customer_Login__c` with your Salesforce object API name
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print(f"Salesforce Response: {result}") # Debugging line
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return jsonify({"success": True, "message": "Data submitted successfully"})
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except Exception as e:
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if "STORAGE_LIMIT_EXCEEDED" in str(e):
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return jsonify({"success": False, "message": "Salesforce storage limit exceeded. Please clean up or contact support."}), 500
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else:
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print(f"Salesforce Insertion Error: {str(e)}") # Log Salesforce errors
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return jsonify({"success": False, "message": "Salesforce submission failed", "error": str(e)}), 500
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except Exception as e:
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print(f"Server Error: {str(e)}") # Log general errors
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return jsonify({"success": False, "message": "Internal server error", "error": str(e)}), 500
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@app.route('/validate-login', methods=['POST'])
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def validate_login():
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try:
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# Ensure JSON is being received
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data = request.get_json()
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login_email = data.get("email")
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login_mobile = data.get("mobile")
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# Validate if email and mobile are present
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if not login_email or not login_mobile:
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return jsonify({"success": False, "message": "Missing email or mobile number"}), 400
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# Query Salesforce to check if the record exists
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query = f"SELECT Id, Name, Email__c, Phone_Number__c FROM Customer_Login__c WHERE Email__c = '{login_email}' AND Phone_Number__c = '{login_mobile}'"
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result = sf.query(query)
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if result['records']:
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# If a matching record is found, return success and the name
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user_name = result['records'][0]['Name'] # Assuming the 'Name' field is present in the Salesforce object
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return jsonify({"success": True, "message": "Login successful", "name": user_name})
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else:
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# If no matching record is found
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return jsonify({"success": False, "message": "Invalid email or mobile number"}), 401
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except Exception as e:
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print(f"Error validating login: {str(e)}")
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return jsonify({"success": False, "message": "Internal server error", "error": str(e)}), 500
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@app.route("/menu", methods=["GET"])
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def menu_page():
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menu_items = get_menu_items()
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menu_data = [{"name": item['Name'], "price": item['Price__c'], "ingredients": item['Ingredients__c'], "category": item['Category__c']} for item in menu_items]
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return render_template("menu_page.html", menu_items=menu_data)
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# Route for handling order
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@app.route("/order", methods=["POST"])
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def place_order():
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item_name = request.json.get('item_name')
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quantity = request.json.get('quantity')
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order_data = {"Item__c": item_name, "Quantity__c": quantity}
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sf.Order__c.create(order_data)
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return jsonify({"success": True, "message": f"Order for {item_name} placed successfully."})
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# Route to handle the cart
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@app.route("/cart", methods=["GET"])
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def cart():
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cart_items = [] # Placeholder for cart items
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return render_template("cart_page.html", cart_items=cart_items)
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# Route for the order summary page
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@app.route("/order-summary", methods=["GET"])
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def order_summary():
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order_details = [] # Placeholder for order details
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return render_template("order_summary.html", order_details=order_details)
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@app.route("/transcribe", methods=["POST"])
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def transcribe():
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if "audio" not in request.files:
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print("No audio file provided")
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return jsonify({"error": "No audio file provided"}), 400
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audio_file = request.files["audio"]
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audio_file.save(input_audio_path)
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try:
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# Convert to WAV
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convert_to_wav(input_audio_path, output_audio_path)
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# Check for silence
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if is_silent_audio(output_audio_path):
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return jsonify({"error": "No speech detected. Please try again."}), 400
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else:
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print("Audio contains speech, proceeding with transcription.")
|
210 |
+
|
211 |
+
# Use Whisper ASR model for transcription
|
212 |
+
result = None
|
213 |
+
retry_attempts = 3
|
214 |
+
for attempt in range(retry_attempts):
|
215 |
+
try:
|
216 |
+
result = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1, config=config)
|
217 |
+
print(f"Transcribed text: {result['text']}")
|
218 |
+
break
|
219 |
+
except requests.exceptions.ReadTimeout:
|
220 |
+
print(f"Timeout occurred, retrying attempt {attempt + 1}/{retry_attempts}...")
|
221 |
+
time.sleep(5)
|
222 |
+
|
223 |
+
if result is None:
|
224 |
+
return jsonify({"error": "Unable to transcribe audio after retries."}), 500
|
225 |
|
226 |
transcribed_text = result["text"].strip().capitalize()
|
227 |
+
print(f"Transcribed text: {transcribed_text}")
|
228 |
|
229 |
+
# Extract name, email, and phone number from the transcribed text
|
230 |
parts = transcribed_text.split()
|
231 |
name = parts[0] if len(parts) > 0 else "Unknown Name"
|
232 |
email = parts[1] if '@' in parts[1] else "unknown@domain.com"
|
233 |
phone_number = parts[2] if len(parts) > 2 else "0000000000"
|
234 |
+
print(f"Parsed data - Name: {name}, Email: {email}, Phone Number: {phone_number}")
|
235 |
|
236 |
+
# Confirm details before submission
|
237 |
confirmation = f"Is this correct? Name: {name}, Email: {email}, Phone: {phone_number}"
|
238 |
generate_audio_prompt(confirmation, "confirmation.mp3")
|
239 |
|
240 |
+
# Simulate confirmation via user action
|
241 |
+
user_confirms = True # Assuming the user confirms, you can replace this with actual user input logic
|
|
|
|
|
|
|
242 |
|
243 |
+
if user_confirms:
|
244 |
+
# Create record in Salesforce
|
245 |
+
salesforce_response = create_salesforce_record(name, email, phone_number)
|
246 |
|
247 |
+
# Log the Salesforce response
|
248 |
+
print(f"Salesforce record creation response: {salesforce_response}")
|
249 |
|
250 |
+
# Check if the response contains an error
|
251 |
+
if "error" in salesforce_response:
|
252 |
+
print(f"Error creating record in Salesforce: {salesforce_response['error']}")
|
253 |
+
return jsonify(salesforce_response), 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
254 |
|
255 |
+
return jsonify({"text": transcribed_text, "salesforce_record": salesforce_response})
|
|
|
256 |
|
257 |
except Exception as e:
|
258 |
+
print(f"Error in transcribing or processing: {str(e)}")
|
259 |
+
return jsonify({"error": f"Speech recognition error: {str(e)}"}), 500
|
260 |
|
261 |
+
# Start Production Server
|
262 |
if __name__ == "__main__":
|
|
|
263 |
serve(app, host="0.0.0.0", port=7860)
|