Welcome to the By-The-App Demo! This innovative platform leverages cutting-edge artificial intelligence to interact dynamically with customer phone calls. By integrating Twilio's powerful voice technology with advanced language understanding from Hugging Face's Llama model, and OpenAI's speech synthesis capabilities, we aim to deliver an adaptive and intelligent voice response system. This project sets the foundation for building custom AI solutions tailored to specific business needs, enhancing customer service interactions through automation.
- AI-Powered Voice Responses: Utilizes Twilio Voice to interact with users in real-time.
- Advanced Language Understanding: Employs the Llama model from Hugging Face for deep natural language understanding.
- Realistic Voice Synthesis: Integrates OpenAI's text-to-voice technology to generate lifelike spoken responses.
- Scalable for Business: Designed to be adaptable for specific business requirements, allowing for further training and customization of the AI model.
- Language: Python
- Language Models: Hugging Face Llama
- Voice API: Twilio Voice
- Text to Speech: OpenAI Voice Services
The primary goal of this demo is to showcase the potential of AI in transforming customer service interactions. By utilizing state-of-the-art technologies, this platform responds to incoming calls with intelligent, context-aware dialogue, paving the way for future developments that will train the AI further to cater to specific sectors and use cases.
To get started with this project, please ensure you have the following:
- Python installed on your system.
- Accounts and API keys for Twilio, Hugging Face, and OpenAI.
For detailed setup instructions and API configuration, please refer to the subsequent sections.
- Sign up for Twilio and obtain your API keys.
- Configure your Twilio account to handle incoming calls.
- Create an account on Hugging Face.
- Generate an API token to access the Llama model.
- Register for an OpenAI account.
- Retrieve API credentials for accessing the voice services.
Detailed documentation on how to deploy and use this platform will be available in the docs directory.
Contributions are welcome! For major changes, please open an issue first to discuss what you would like to change. Ensure to update tests as appropriate.
Distributed under the MIT License. See LICENSE for more information.