Overview

English | 日本語

🌟 Monadic Chat is a highly configurable web application framework for creating and using intelligent chatbots, leveraging the power of OpenAI’s Chat and Whisper APIs and the Ruby programming language.

⚠️ Important Notice

This software is currently under active development and is subject to frequent changes. Some features may still be unstable at this moment. Please exercise caution when using it.

📢 Call for Contributions

I welcome contributions that can help refine this software, such as code improvements, adding tests, and documentation. Your support would be greatly appreciated.

Features

Basic Structure

• 🤖 Powered by GPT-3.5 or GPT-4 via OpenAI’s Chat API, with unlimited conversation turns
• 👩‍💻 Multi-OS support using Docker for Mac, Windows, or Linux

Data Management

• 💾 Export/import messages and settings
• 💬 Specify the number of recent messages (active messages) to send to the API, while storing and exporting older messages (inactive messages)
• 🔢 Generate text embeddings from data in multiple PDF files and query their content using OpenAI’s text embedding API

Voice Interaction

• 🎙️ Automatic transcription of microphone input using OpenAI’s Whisper API
• 🔈 Text-to-speech functionality for AI assistant responses
• 🗣️ Choose the language and voice for text-to-speech (available on Google Chrome or Microsoft Edge)
• 🗺️ Automatic language detection for appropriate text-to-speech playback
• 😊 Enable voice conversations with the AI agent using speech recognition and text-to-speech

Image Generation

• 🖼️ Generate images from text prompt using OpenAI’s DALL·E 2 API

Configuration and Extension

• 💡 Customize the AI agent’s behavior by specifying API parameters and the system prompt
• 💎 Extend functionality using the Ruby programming language

Message Editing

• 📝 Edit previous messages and retry when the desired AI agent response is not obtained
• 🗑️ Delete specific messages from previous conversations
• 📜 Add preceding messages with user, assistant, or system roles

Advanced

• 🪄 Obtain additional information alongside the primary AI assistant response and store it as the conversation state in a predefined JSON object

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