Multi-Agent Dev Assistant

The Multi-Agent AI-Powerd dev Assistant is a cutting-edge, AI-powered platform designed to revolutionize the way developers work. It seamlessly generates code across multiple programming languages, offers real-time code explanations, provides advanced debugging support, and features an interactive chat assistant for enhanced collaboration. Additionally, this all-in-one tool boasts the unique ability to convert images into code, empowering developers to translate visual concepts into functional code with ease. By streamlining the development process, this intelligent assistant aims to make coding faster, more efficient, and error-free, while supporting a wide range of programming environments.

Features

• Code Generation: Generate code snippets based on user prompts in various programming languages.
• Code Explanation: Get explanations for the generated code to enhance understanding.
• AI Chatbot: Ask coding questions and receive instant responses from the AI chatbot.
• Multi-language Support: Support for various programming languages, allowing flexibility in code generation.
• Code Dubbeger: Debugging and error detection capabilities to ensure code quality.
• Image to Code: Convert images into code, facilitating the translation of visual concepts into functional code.

Installation

To run the AI Code Assistant, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Getachew0557/AI-agent.git
   cd AI-agent/ai_code_agent

Set Up Virtual Environment (optional but recommended):

python3 -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Install Required Dependencies:

pip install -r requirements.txt

Configure API Key:

• Create a config.py file in the root directory and add your Gemini API key:

GEMINI_API_KEY = 'your_api_key_here'

Usage

• Run the Streamlit Web Application
• To start the web application, run the following - command:

streamlit run frontend/streamlit_app.py

• Open your browser and navigate to http://localhost:8501 to access the application.

• Command Line Interface (CLI) You can also use the CLI to generate code directly:

python backend/main.py

Demo

Here’s a quick demonstration of the AI Code Assistant in action:

Folder Structure

ai_code_agent/
│── models/
│   ├── gemini.py          # Handles Gemini API integration
│── chat/
│   ├── chatbot.py         # AI Chatbot for code queries
│── utils/
│   ├── language_support.py # Handles multiple programming languages
│   ├── code_explainer.py   # Explains generated code
│── frontend/
│   ├── streamlit_app.py   # Streamlit web UI for interaction
│── backend/
│   ├── main.py            # CLI-based code generator
│── config.py              # API configuration file
│── requirements.txt       # Required dependencies
│── README.md              # Documentation

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

Fork the repository. Create a new branch for your feature or bug fix: bash Copy Edit git checkout -b feature/YourFeatureName Make your changes and commit them:

git commit -m "Add Your Feature"
Push to the branch:

git push origin feature/YourFeatureName

• Create a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

Gemini API for providing the AI capabilities.

Customization

Feel free to customize the README.md file according to your project's specific details, such as the Gemini API documen