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https://github.com/shoutsid/townhall
A Python-based chatbot project built on the autogen and tinygrad foundation, utilizing advanced agents for dynamic conversations and function orchestration, enhancing and expanding traditional chatbot capabilities.
https://github.com/shoutsid/townhall
agent-based agent-based-framework ai autogen chat-application chatbot gpt gpt-2 gpt-3 gpt2 gpt3-turbo gpt4 llama llm tinygrad
Last synced: about 1 month ago
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A Python-based chatbot project built on the autogen and tinygrad foundation, utilizing advanced agents for dynamic conversations and function orchestration, enhancing and expanding traditional chatbot capabilities.
- Host: GitHub
- URL: https://github.com/shoutsid/townhall
- Owner: shoutsid
- License: gpl-3.0
- Created: 2023-10-15T13:47:35.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-07-31T02:54:51.000Z (about 1 month ago)
- Last Synced: 2024-08-01T03:36:58.500Z (about 1 month ago)
- Topics: agent-based, agent-based-framework, ai, autogen, chat-application, chatbot, gpt, gpt-2, gpt-3, gpt2, gpt3-turbo, gpt4, llama, llm, tinygrad
- Language: Jupyter Notebook
- Homepage: https://shoutsid.github.io/townhall/
- Size: 5.19 MB
- Stars: 25
- Watchers: 1
- Forks: 5
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Townhall
🚧 Under heavy development and in transition from a previous personal project. Not ready for production use. 🚧
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[](https://github.com/PyCQA/bandit)
Townhall is a cutting-edge chatbot framework crafted in Python and grounded on the robust Autogen foundation. This isn't just another chatbot; Townhall leverages the power of advanced agents to breathe life into conversations and elevate them to a whole new level.
### 🧱 The Autogen Foundation: The Bedrock of Innovation
At its core, Townhall is built upon the Autogen framework, a pioneering platform for LLMs. Autogen enables the creation of agents that are not only customizable but also conversational. These agents can interact with each other, and seamlessly incorporate human inputs, setting the stage for more dynamic and intelligent dialogues.
Our advanced agents go beyond merely responding to user queries; they orchestrate multiple functions to provide a cohesive and engaging user experience. Think of them as the conductors of a grand symphony, where each instrument is a unique function or feature. They coordinate these functions to create a harmonious and effective dialogue, far outclassing traditional chatbots which often feel like disjointed sets of scripted responses. The advanced agents adapt and learn, making each conversation better than the last. They can switch between various modes, employing a blend of LLMs, human inputs, and specialized tools to deliver a personalized conversational experience.
## Table of Contents
1. [Features](#features)
2. [Prerequisites](#prerequisites)
3. [Installation](#installation)
4. [Usage](#usage)
5. [Contributing](#contributing)
6. [Testing](#testing)
7. [Roadmap](#roadmap)
8. [Credits](#credits)
9. [License](#license)
## 📝 Prerequisites
Before you begin, ensure you have met the following requirements:
- Python 3.10 or higher
- pip package manager
- sqlite3
## 🛠️ Installation
### Docker Compose
```bash
git clone --recurse-submodules https://github.com/shoutsid/townhall.git
cd townhall
docker compose up -d
docker compose exec townhall bash
./setup.sh
```
### For Linux
```bash
git clone --recurse-submodules https://github.com/shoutsid/townhall.git
cd townhall
./setup.sh
```
### For Mac/Windows
The easiest way to get setup on windows is to start playing is click below to use the Github Codespace. Otherwise this was developed on WSL Ubuntu.
[](https://codespaces.new/shoutsid/townhall?quickstart=1)
## 🌐 Usage
### Agents
Each agent can be run independently. To start an product_manager agent for example, run the following commands:
```bash
export OPENAI_API_KEY=
python3 townhall/agents/product_manager.py
```
### LLaMa Integration
To start the Llama module, run the following commands:
```bash
pip install -r requirements.txt
cd townhall/models/llama/weights/
bash pull_llama.sh
cd ../../../..
python3 townhall/models/llama/llama.py
```
### GPT-2 Integration
To start the GPT-2 module, run the following commands:
```bash
python3 townhall/models/gpt2/gpt2.py
```
## 🤝 Contributing
If you would like to contribute to Townhall, please fork the repository and use a feature branch. Pull requests are warmly welcome.
## 🧪 Testing
To run the tests:
```bash
pytest
```
## 🗺️ Roadmap
For the detailed roadmap of upcoming features, please visit our [Project Board](https://github.com/users/shoutsid/projects/1).
## 👏 Credits
- **Prompt Contributions**: A big thank you to [Josh-XT](https://github.com/Josh-XT) for the various prompts. Check out his repository [AGiXT](https://github.com/Josh-XT/AGiXT) for more details.
- **Autogen Foundation**: Townhall is built upon the robust [Autogen Framework](https://github.com/microsoft/autogen/), a pioneering platform for LLMs by Microsoft.
- **OpenAI Assistant**: Special mention to [OpenAI Assistant](https://chat.openai.com/) for aiding in the development process.
- **tinygrad**: Special thanks to [tinygrad](https://github.com/tinygrad/tinygrad) for providing the foundational machine learning framework that enhances our project's capabilities.
Developed by @shoutsid.
## 📜 License
This project is licensed under the GNU GENERAL PUBLIC LICENSE . See the [LICENSE.md](LICENSE.md) file for details.