GitHub Code Tutor

A Streamlit application to analyze GitHub repositories and provide coding assistance using an AI model.

Features

Clone GitHub repositories and extract code.
Generate responses to questions about the codebase.
Modern dark-themed UI.
Command-line argument for specifying the temp folder.
Support for both Gemini AI and Anthropic Claude AI.
Automatic cleanup of temp folder on exit.

Setup

Prerequisites

Python 3.7+
Streamlit
Anthropic
Git

Installation

Clone the repository:

git clone https://github.com/snrism/codey.git
cd codey

Install the dependencies:
```
pip install -r requirements.txt
```
Set up your Google Cloud Platform (GCP) credentials:
- Follow these instructions to create a service account and download the JSON key file.
- Set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the path of the JSON key file:
```
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-file.json"
```
Set up your Anthropic API Key:
- Obtain your Anthropic API key from the Anthropic platform.
- Set the environment variable ANTHROPIC_API_KEY to your Anthropic API key:
```
export ANTHROPIC_API_KEY="your-anthropic-api-key"
```
Optional: Set up your GCP project details in the config.py file if you plan to use Gemini model:
- Open config.py and set the PROJECT_ID and LOCATION variables to your GCP project ID and location.
Example config.py:
```
PROJECT_ID = "your-gcp-project-id"
LOCATION = "your-gcp-location"
MODEL_ID = "your-model-id"
```

Usage

Run the Streamlit app with the following command:
```
streamlit run codey.py --temp_folder ./temp
```
Open your browser and navigate to http://localhost:8501.

Arguments

--temp_folder: Specify the temporary folder to store GitHub files (default: ./temp).

Code Structure

codey.py: Main code to run the Streamlit application.
services/code_analyzer.py: Module for cloning and extracting code from GitHub repositories.
services/streamlit_helpers.py: Helper functions for the Streamlit app.

License

This project is licensed under the MIT License.