| --- |
| license: apache-2.0 |
| datasets: |
| - nickrosh/Evol-Instruct-Code-80k-v1 |
| - NousResearch/CharacterCodex |
| language: |
| - en |
| metrics: |
| - code_eval |
| library_name: fastai |
| tags: |
| - code |
| --- |
| |
| # AgenticDeveloper Wiki |
|
|
| Welcome to the AgenticDeveloper project wiki! This wiki provides detailed documentation to help you understand, set up, and contribute to the project. The AgenticDeveloper is a text-based assistant designed to help full-stack developers with tasks like code writing, debugging, and optimization using a Mixture of Experts (MoE) model. |
|
|
| ## Contents |
|
|
| - [Introduction](#introduction) |
| - [Project Structure](#project-structure) |
| - [Setup Instructions](#setup-instructions) |
| - [Usage](#usage) |
| - [Contribution Guidelines](#contribution-guidelines) |
| - [Future Work](#future-work) |
| - [References](#references) |
|
|
| --- |
|
|
| ## Introduction |
|
|
| The AgenticDeveloper project is an AI-powered assistant designed to assist full-stack developers with various tasks. The project uses a Mixture of Experts (MoE) model, where a prime agent acts as a full-stack developer and several secondary agents specialize in different tasks. |
|
|
| ## Project Structure |
|
|
| The project consists of the following key files: |
|
|
| - **`agent.py`**: Defines the PrimeAgent and SecondaryAgent classes. |
| - **`app.py`**: Main entry point for running the Gradio interface. |
| - **`network.py`**: Contains functions to create neural network models for text processing and the gating network. |
| - **`requirements.txt`**: Lists the dependencies required for the project. |
| - **`train.py`**: Implements the training and evaluation pipeline. |
| - **`interface.py`**: Sets up the Gradio interface for the chat window and code display. |
| - **`README.md`**: Project documentation and setup instructions. |
|
|
| ## Setup Instructions |
|
|
| Follow these steps to set up the project on your local machine: |
|
|
| 1. **Clone the repository**: |
| ```sh |
| git clone https://github.com/Dnnsdesigns/AgenticDeveloper.git |
| cd AgenticDeveloper |
| ``` |
| |
| 2. **Create a virtual environment** (optional but recommended): |
| ```sh |
| python -m venv venv |
| source venv/bin/activate # On Windows use `venv\Scripts\activate` |
| ``` |
| |
| 3. **Install the required dependencies**: |
| ```sh |
| pip install -r requirements.txt |
| ``` |
| |
| 4. **Run the application**: |
| ```sh |
| python app.py |
| ``` |
| |
| ## Usage |
|
|
| The AgenticDeveloper provides an interactive Gradio interface with two main components: |
| 1. **Chat Window**: Where you can interact with the assistant to get code suggestions, debugging help, and more. |
| 2. **Code Display Window**: Displays the code snippets generated by the assistant. |
|
|
| To use the assistant, enter your request in the chat window and the assistant will respond with suggestions or code snippets based on the input. |
|
|
| ## Contribution Guidelines |
|
|
| We welcome contributions to the AgenticDeveloper project! Here are some guidelines to help you get started: |
|
|
| 1. **Fork the repository**: Create a fork of the repository on your GitHub account. |
| 2. **Clone your fork**: Clone the forked repository to your local machine. |
| ```sh |
| git clone https://github.com/YOUR_USERNAME/AgenticDeveloper.git |
| cd AgenticDeveloper |
| ``` |
| 3. **Create a new branch**: Create a new branch for your feature or bugfix. |
| ```sh |
| git checkout -b feature/your-feature-name |
| ``` |
| 4. **Make your changes**: Implement your feature or bugfix. |
| 5. **Commit your changes**: Commit your changes with a descriptive commit message. |
| ```sh |
| git commit -m "Add feature/your-feature-name" |
| ``` |
| 6. **Push your changes**: Push your changes to your forked repository. |
| ```sh |
| git push origin feature/your-feature-name |
| ``` |
| 7. **Create a Pull Request**: Create a pull request from your forked repository to the main repository. |
| |
| ## Future Work |
|
|
| Here are some potential future improvements and features for the AgenticDeveloper: |
|
|
| - **Expand to Multimodal Inputs**: Add support for image and audio inputs to provide more comprehensive assistance. |
| - **Improve NLP Capabilities**: Enhance the natural language processing capabilities of the assistant. |
| - **Add More Specialized Agents**: Introduce more secondary agents with specialized skills. |
| - **Optimize Performance**: Improve the performance and efficiency of the model. |
|
|
| ## References |
|
|
| - [Hugging Face Datasets](https://huggingface.co/datasets) |
| - [Gradio Documentation](https://gradio.app/docs/) |
| - [TensorFlow Documentation](https://www.tensorflow.org/) |
|
|
| Thank you for using and contributing to the AgenticDeveloper project! We hope this documentation provides you with all the information you need to get started and contribute to the project. |
