askrella/whatsapp-chatgpt
Whatsapp Chatgpt
This project is a WhatsApp chatbot that integrates large language models and image generation into the WhatsApp messaging platform. It acts as a bridge connecting WhatsApp messages to OpenAI services to provide automated text and visual responses.
The bot features the ability to convert spoken audio messages into written text using automated speech recognition, facilitating conversational interactions via voice. It also functions as a generative image bot, creating custom visual assets from text descriptions.
The system is designed for containerized deployment, using Docker to package the application and its dependencies for consistent execution across different server environments. Deployment is managed through environment-variable configuration and automated setup processes.
Features
- Conversational AI Agents - Generate text answers to user inputs within a messaging interface using a large language model.
- AI Chatbots - Integrates large language models and image generation into WhatsApp to create an automated conversational AI agent.
- AI Messaging Bridges - Integrates AI models into the WhatsApp platform to provide automated text and image generation.
- Conversational Bot Development - Implements a conversational bot that answers questions and generates content in real time.
- Conversational Response Generators - Uses large language models to synthesize personalized and context-aware replies for the chat interface.
- Text-to-Image Generators - Creates high-resolution images from user text descriptions using generative AI.
- Text-to-Image Synthesis - Generates custom visual assets from natural language prompts using generative AI models.
- Bots - Provides an automated bot interface for creating custom visual assets from text prompts.
- Language Model Response Generators - Wraps large language models to provide interactive conversational responses to user messages.
- OpenAI API Clients - Implements a client application that connects to OpenAI APIs to send prompts and receive text and image responses.
- WhatsApp Integrations - Connects a conversational AI agent to the WhatsApp messaging platform for automated interactions.
- WhatsApp Bot Frameworks - Uses a modular framework to connect an AI model to WhatsApp for automated text and image responses.
- Messaging Webhook Receivers - Captures incoming WhatsApp messages via webhooks to trigger the bot's processing pipeline.
- Speech to Text Transcription - Provides a pipeline to convert spoken audio messages into text for AI processing.
- Container Deployment - Uses containerization to ensure the bot runs consistently across different server environments.
- Docker Container Deployments - Uses Docker containers to maintain a stable execution environment and manage dependencies.
- Containerized Bot Deployments - Employs containerized deployment strategies to run the chat bot consistently across environments.
- Audio Transcriptions - Converts spoken audio messages sent via WhatsApp into written text using automated speech recognition.
- Voice-to-Text Messaging Integrations - Bridges voice-based messages with automated speech recognition for downstream AI analysis.
