https://github.com/zayedshahcode/oneai-backend
A Flask based backend application for my AI powered chatbot
https://github.com/zayedshahcode/oneai-backend
Last synced: 12 months ago
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A Flask based backend application for my AI powered chatbot
- Host: GitHub
- URL: https://github.com/zayedshahcode/oneai-backend
- Owner: ZayedShahcode
- License: mit
- Created: 2025-04-22T12:19:28.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-29T13:37:01.000Z (about 1 year ago)
- Last Synced: 2025-06-10T02:08:35.811Z (about 1 year ago)
- Language: Python
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Flask LangChain Chatbot
A web-based AI chatbot application built with Flask and the LangChain framework. This application provides a conversational interface where users can interact with an AI assistant through a clean and responsive web interface.
## Features
- Interactive chat interface
- Support for multiple language models
- Customizable chatbot behavior
- API endpoints for integration with other applications
- Session management for multiple users
- Markdown rendering in responses
## Demo
## Table of Contents
- [Installation](#installation)
- [Configuration](#configuration)
- [Usage](#usage)
- [Project Structure](#project-structure)
- [API Documentation](#api-documentation)
- [Development](#development)
- [Deployment](#deployment)
- [Contributing](#contributing)
- [License](#license)
## Installation
### Prerequisites
- Python 3.8 or higher
- pip (Python package installer)
- API key for your chosen language model (OpenAI, Anthropic, etc.)
### Setup
1. Clone the repository:
```bash
git clone https://github.com/yourusername/flask-langchain-chatbot.git
cd flask-langchain-chatbot
```
2. Create and activate a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
## Configuration
The application can be configured through the `.env` file:
```
# API Keys
LLM_API_KEY=your_api_key_here
LLM_PROVIDER=openai # Options: openai, anthropic, etc.
```
## Usage
1. Start the application:
```bash
python app.py
```
Or for development mode:
```bash
flask run --debug
```
2. Start chatting with the AI assistant through the web interface
## Contributing
1. Fork the repository
2. Create a feature branch: `git checkout -b feature-name`
3. Commit your changes: `git commit -m 'Add some feature'`
4. Push to the branch: `git push origin feature-name`
5. Submit a pull request
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.