langflow-streamlit 0.1.0

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langflow-streamlit

langflow-streamlit is an API that facilitates communication between Langflow and Streamlit applications. This library enables seamless integration of Langflow's advanced language processing capabilities with Streamlit's user-friendly interface, allowing developers to create interactive applications that leverage powerful language models.

Features

• Easy integration: Quickly set up communication between Langflow and Streamlit with minimal configuration.
• Simple deployment: Easily install and run the API with pip or poetry.
• Flexible execution: Run the full stack or just the Streamlit frontend with API backend.

Requirements

• Python 3.10 or higher

Installation

Option 1: Install via pip

pip install langflow-streamlit

Option 2: Clone the repository and use Poetry

1. Clone the repository:

   git clone https://github.com/yaitec/langflow-streamlit.git
   cd langflow-streamlit
   

2. Install Poetry if you haven't already:

   pip install poetry
   

3. Install the project dependencies:

   poetry install
   

Usage

Running the Application

1. Run the full stack (Langflow, API, and Streamlit):

   langflow-streamlit run
   

2. Run only the Streamlit frontend and API backend:

   langflow-streamlit run --streamlit-only
   

Using Poetry (after cloning the repository)

1. Run the full stack:

   poetry run langflow-streamlit run
   

2. Run only the Streamlit frontend and API backend:

   poetry run langflow-streamlit run --streamlit-only
   

Using Make commands

1. Run the full stack:

   make start
   

2. Run only the Streamlit frontend and API backend:

   make start-streamlit-only
   

Development

To set up the development environment:

1. Clone the repository (if you haven't already).

2. Install development dependencies:

   poetry install --with dev
   

3. Run tests:

   make test
   

4. Check code style:

   make lint
   

Contributing

Contributions are welcome! Please feel free to submit a Pull Request or open an Issue on the GitHub repository.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

YAITEC - [e-mail]

Project Link: https://github.com/yaitec/langflow-streamlit