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https://github.com/andrew-tsegaye/advanced-ai-code-generation-agent
AI Agent Code Generation
https://github.com/andrew-tsegaye/advanced-ai-code-generation-agent
llama-index ollama python rag
Last synced: 2 days ago
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AI Agent Code Generation
- Host: GitHub
- URL: https://github.com/andrew-tsegaye/advanced-ai-code-generation-agent
- Owner: Andrew-Tsegaye
- Created: 2024-04-22T12:11:07.000Z (9 months ago)
- Default Branch: start-engine
- Last Pushed: 2024-04-23T09:44:15.000Z (9 months ago)
- Last Synced: 2025-01-25T07:12:58.999Z (2 days ago)
- Topics: llama-index, ollama, python, rag
- Language: Python
- Homepage:
- Size: 106 KB
- Stars: 9
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Advanced AI Code Generation Agent
Welcome to the Code Generation Agent repository! This project aims to provide a versatile tool for generating code snippets based on user input and predefined templates. Whether you're a developer looking to streamline your workflow or a student seeking assistance with coding assignments, Code Generation Agent is here to help.
## Agent Functionalities
- Generate code based on user input and save it as a Python file.
- Provide explanations for the generated code.
- Retrieve relevant data from PDF files using Retrieval Augmented Generation (RAG) and provide appropriate responses based on that.
## Getting Started
To get started with Code Generation Agent, follow these steps:
1. **Clone the repository**:
```bash
git clone https://github.com/Andrew-Tsegaye/Code-Gen-Agent.git
```
2. **Install Dependencies**:
- To install the specified versions of the dependencies, ensure you have a Python version between `3.8` and `3.11` and run the following command:
```bash
pip install -r requirements.txt
```
## Next Steps:
- Activate the AI script from your terminal by running:
```bash
./ai/Scripts/activate
```
- Download the `mistral` LLM model from [Ollama Models](https://ollama.com/library). The `codellama` model will be automatically downloaded when you run the code.
- To run and Chat with [Mistral](https://ollama.com/library/mistral), execute the following command:
```bash
ollama run mistral
```
3. **Run the agent on your local machine**:
```bash
python main.py
```
4. **Follow the prompts**:
Once the AI is running on your local machine, follow the prompts to generate code snippets based on your requirements.
## Usage
Code Generation Agent is designed to be intuitive and easy to use. Simply launch the AI agent, choose your desired programming language as your custom data, select a template [I have provided my template], and provide the necessary input when prompted. The agent will then generate the corresponding code snippet for you to use in your projects.
## Contributing
Contributions are welcome! If you have any ideas for new features, improvements, or bug fixes, feel free to submit a pull request. Please ensure that your code adheres to the existing style and conventions.
## Acknowledgements
Code Generation Agent wouldn't be possible without the contributions of the open-source community. I would like to thank all the developers who have helped make this project a reality.
- [LLAMA Index](https://www.llamaindex.ai/)
- [Ollama](https://github.com/ollama/ollama)