https://github.com/subh05sus/geetagpt

A GPT based Chatbot made with Flask which possesses knowledge about Shrimadvagwat Geeta and act like Lord Krishna
https://github.com/subh05sus/geetagpt

flask flask-application geeta gpt gpt-3 gpt3 python

Last synced: 9 months ago
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A GPT based Chatbot made with Flask which possesses knowledge about Shrimadvagwat Geeta and act like Lord Krishna

• Host: GitHub
• URL: https://github.com/subh05sus/geetagpt
• Owner: subh05sus
• Created: 2023-04-01T07:10:44.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-03-04T15:07:19.000Z (over 2 years ago)
• Last Synced: 2025-04-03T20:04:52.337Z (about 1 year ago)
• Topics: flask, flask-application, geeta, gpt, gpt-3, gpt3, python
• Language: Python
• Homepage: https://geetagpt.subhadip.me
• Size: 40.6 MB
• Stars: 20
• Watchers: 2
• Forks: 15
• Open Issues: 14
• Metadata Files:
  • Readme: README.md

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README

          
# GeetaGPT

GeetaGPT is a chatbot built with Flask that embodies the persona of Lord Krishna, possessing extensive knowledge from Shrimadvagwat Geeta. The bot is powered by the OpenAI GPT-3.5 model, capable of answering life problems, providing advice, and offering motivation.

## Features

- **Divine Wisdom:** Acts as a replica of Lord Krishna, answering questions and offering advice based on the teachings of Shrimadvagwat Geeta.

- **Life Guidance:** Provides insightful responses to life problems and challenges.

- **Motivational Chat:** Offers motivation and uplifting messages for users feeling low.

## Usage Instructions

1. **Setup:**

   - Clone the repository: `git clone https://github.com/yourusername/GeetaGPT.git`

   - Navigate to the project directory: `cd GeetaGPT`

2. **Configuration:**

   - Create a `.env` file in the root of the project.

   - Add your OpenAI API key to the `.env` file: `API_KEY=your_openai_api_key`.

   - Update `main.py` to load the API key from the environment: `OpenAIAPI = os.getenv("API_KEY")`.

3. **Environment Setup:**

   - Create a virtual environment: `python -m venv venv`

   - Activate the virtual environment:

     - On Windows: `venv\Scripts\activate`

     - On Unix or MacOS: `source venv/bin/activate`

4. **Install Dependencies:**

   - Install required packages: `pip install -r requirements.txt`

5. **Run the Application:**

   - Start the Flask server: `python main.py`

   - Access the application in your browser: [http://localhost:80/](http://localhost:80/)

## Screenshots

![Main Page](https://user-images.githubusercontent.com/116567041/229670073-5e64b92c-56fe-4732-b701-5e0bd0e75e05.png)

![Other](https://user-images.githubusercontent.com/116567041/229670093-0daa5520-8164-46e9-8e4c-0f7bf50d8e4a.png)

## Contribution Guidelines

Feel free to contribute! Follow these steps:

1. Fork the repository.

2. Create a new branch: `git checkout -b feature/your-feature`.

3. Commit your changes: `git commit -m "Add your feature"`.

4. Push to the branch: `git push origin feature/your-feature`.

5. Submit a pull request.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.

## Acknowledgments

Special thanks to [OpenAI](https://platform.openai.com/) for providing the powerful GPT-3.5 model.

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This project is maintained by [Your Name]. Feel free to reach out with any questions or suggestions!