Spaces:
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Update app.py
Browse files
app.py
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@@ -73,91 +73,135 @@ def is_silent_audio(audio_path):
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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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try:
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query = f"SELECT Id, Name FROM Customer_Login__c WHERE Email__c = '{email}' AND Phone_Number__c = '{mobile}'"
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result = sf.query(query)
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if result['totalSize'] > 0:
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return jsonify({'success': True, 'message': 'User authenticated successfully.'}), 200
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else:
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return jsonify({'success': False, 'error': 'Invalid email or mobile number.'}), 400
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except Exception as e:
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return jsonify({'error': 'Something went wrong. Please try again later.'}), 500
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=7860, debug=True)
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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@app.route("/")
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def index():
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# Serve the HTML page for the voice-based login
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return render_template("index.html")
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@app.route("/
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def
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email = data.get("email")
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mobile = data.get("mobile")
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# For simplicity, we'll assume the capture was successful.
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return jsonify({"success": True, "message": "Email and mobile captured successfully."}), 200
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# Start Production Server
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if __name__ == "__main__":
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app
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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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# Salesforce connection details
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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 to create Salesforce record
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# API endpoint to receive data from voice bot
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@app.route('/login', methods=['POST'])
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def login():
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# Get data from voice bot (name, email, phone number)
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data = request.json # Assuming voice bot sends JSON data
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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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# Create a record in Salesforce
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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_number
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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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@app.route("/submit", methods=["POST"])
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def submit():
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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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if not name or not email or not phone:
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return jsonify({'error': 'Missing data'}), 400
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try:
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# Create Salesforce record
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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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if customer_login.get('id'):
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return jsonify({'success': True})
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else:
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return jsonify({'error': 'Failed to create record'}), 500
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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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("/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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input_audio_path = os.path.join("static", "temp_input.wav")
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output_audio_path = os.path.join("static", "temp.wav")
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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.")
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# Use Whisper ASR model for transcription
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result = None
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retry_attempts = 3
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for attempt in range(retry_attempts):
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try:
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result = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1, config=config)
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print(f"Transcribed text: {result['text']}")
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break
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except requests.exceptions.ReadTimeout:
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print(f"Timeout occurred, retrying attempt {attempt + 1}/{retry_attempts}...")
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time.sleep(5)
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if result is None:
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return jsonify({"error": "Unable to transcribe audio after retries."}), 500
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transcribed_text = result["text"].strip().capitalize()
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print(f"Transcribed text: {transcribed_text}")
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# Extract name, email, and phone number from the transcribed text
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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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print(f"Parsed data - Name: {name}, Email: {email}, Phone Number: {phone_number}")
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# Create record in Salesforce
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salesforce_response = create_salesforce_record(name, email, phone_number)
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# Log the Salesforce response
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print(f"Salesforce record creation response: {salesforce_response}")
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# Check if the response contains an error
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if "error" in salesforce_response:
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print(f"Error creating record in Salesforce: {salesforce_response['error']}")
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return jsonify(salesforce_response), 500
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# If creation was successful, return the details
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return jsonify({"text": transcribed_text, "salesforce_record": salesforce_response})
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except Exception as e:
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print(f"Error in transcribing or processing: {str(e)}")
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return jsonify({"error": f"Speech recognition error: {str(e)}"}), 500
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# Start Production Server
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if __name__ == "__main__":
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serve(app, host="0.0.0.0", port=7860)
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