https://github.com/bhivgadearav/nebula-chatbot
This project is an AI chatbot application built using Langchain & Streamlit. It leverages OpenAI's GPT-4o-mini model to provide intelligent and context-aware responses. The application supports multiple chat sessions and allows users to input their OpenAI API key for personalized interactions.
https://github.com/bhivgadearav/nebula-chatbot
chatbot langchain openai-api python streamlit
Last synced: about 2 months ago
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This project is an AI chatbot application built using Langchain & Streamlit. It leverages OpenAI's GPT-4o-mini model to provide intelligent and context-aware responses. The application supports multiple chat sessions and allows users to input their OpenAI API key for personalized interactions.
- Host: GitHub
- URL: https://github.com/bhivgadearav/nebula-chatbot
- Owner: bhivgadearav
- License: mit
- Created: 2025-01-02T15:15:09.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-03T14:30:57.000Z (over 1 year ago)
- Last Synced: 2025-02-23T03:28:40.280Z (over 1 year ago)
- Topics: chatbot, langchain, openai-api, python, streamlit
- Language: Python
- Homepage: https://nebula-chatbot.onrender.com/
- Size: 3.42 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Nebula Chatbot
## Description
This project is an AI chatbot application built using Streamlit. It leverages OpenAI's GPT-4o-mini model to provide intelligent and context-aware responses. The application supports multiple chat sessions and allows users to input their OpenAI API key for personalized interactions.
## Features
- Multiple chat sessions management
- User-friendly interface with Streamlit
- Secure API key input
- Context-aware responses using GPT-4o-mini
## Libraries and Tools Used
- [LangChain](https://www.langchain.com/)
- [Streamlit](https://streamlit.io/)
- [OpenAI GPT-4o-mini](https://platform.openai.com/)
- [python-dotenv](https://pypi.org/project/python-dotenv/)
## Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/ai-chatbot.git
cd ai-chatbot
```
2. Create a virtual enviorment:
```bash
python -m venv venv
```
3. Activate the virtual enviorment:
```bash
venv/Scripts/activate
```
4. Install the required packages:
```bash
pip install -r requirements.txt
```
5. Create a `.env` file in the root directory and add your OpenAI API key and Langchain API key:
```env
OPENAI_API_KEY=your_openai_api_key
LANGCHAIN_API_KEY=your_langchain_api_key
```
## Running the Project
To run the application, use the following command:
```bash
streamlit run src/app.py
```
## Modules and Components
- **config.py**: Manages configuration settings and environment variables.
- **session_manager.py**: Handles session management and chat history.
- **chatbot.py**: Implements the core chatbot functionality using LangChain components.
- **app.py**: Main Streamlit application file that coordinates between different components.
## Folder Structure
- **/script**: Contains just the script for running the chatbot without ui with explanation on how everythin works. It is exactly the same as I write while creating it without ui for instructions and any related references.
- **/src**: Contains the main application files.
- **config.py**: Configuration management.
- **session_manager.py**: Session management.
- **chatbot.py**: Chatbot logic.
- **app.py**: Streamlit application.
## Contributing
Contributions are welcome! Please follow these steps:
1. Fork the repository.
2. Create a new branch (`git checkout -b feature-branch`).
3. Make your changes.
4. Commit your changes (`git commit -m 'Add new feature'`).
5. Push to the branch (`git push origin feature-branch`).
6. Open a pull request.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.