GenAI Project Builder

GenAI Project Builder

This project allows users to generate a project structure and files using Generative AI models, specifically leveraging the Gemini API. The project includes a frontend built with Streamlit, allowing users to interact with the AI and generate projects easily through a web interface.

Features

• Generative AI Integration: Uses the Gemini API to generate project structures and file contents based on user descriptions.
• Streamlit Frontend: Provides a user-friendly web interface for generating and downloading project files.
• File Structure Limitations: Ensures that no more than 20 files are generated to manage API usage and performance.
• Zipped Output: Packages the generated project into a zip file for easy download.

Installation

To run this project locally, you need to have Python installed. Follow the steps below to set up the project:

1. Clone the repository:

   git clone https://github.com/your-username/genai-project-builder.git
   cd genai-project-builder

2. Create a virtual environment (optional but recommended):

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

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up the environment variables:

   Create a .env file in the project root directory and add your Gemini API key:

   GEMINI_API_KEY=your_gemini_api_key_here

Usage

You can run the Streamlit app locally to use the project builder:

streamlit run website.py

After running the above command, you can open your web browser and navigate to http://localhost:8501 to access the app.

Deployed Application

The project is also deployed on Streamlit. You can access it via the following URL: GenAI Project Builder

Files

• main.py: The main script that ties everything together.
• config.py: Configuration settings and environment variable loading.
• gemini_api.py: Functions related to interacting with the Gemini API.
• file_operations.py: Functions related to creating files, folders, and zipping them.
• website.py: Streamlit web application.
• .env: Environment variables file (not included, you need to create this).
• requirements.txt: List of Python packages required to run the project.

Environment Variables

The project requires the following environment variable:

• GEMINI_API_KEY: Your Gemini API key. You can obtain this key by signing up for the Gemini API.

To set up the environment variables, create a .env file in the root directory of the project and add the key as follows:

GEMINI_API_KEY=your_gemini_api_key_here

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.