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