This project is a simple chat application built with FastAPI for the backend and HTMX for dynamic frontend updates.
- Python 3.10 or higher
 - pip (Python package installer)
 
Follow these steps to set up and run the project on your local machine.
git clone https://github.com/brylie/langflow-fastapi-htmx.git
cd langflow-fastapi-htmxpython -m venv venvpython3 -m venv venvvenv\Scripts\activatesource venv/bin/activateWith the virtual environment activated, install the project dependencies:
pip install -r requirements.txtStart the FastAPI server using Uvicorn:
uvicorn chat:app --reloadThe --reload flag enables auto-reloading on code changes, which is useful for development.
Open your web browser and navigate to:
http://127.0.0.1:8000
You should now see the chat interface and be able to interact with the chatbot.
We use GitHub Actions to automatically run our pytest suite on every pull request to the main branch. This ensures that all tests pass before changes can be merged.
- The main application code is in 
chat.py. - HTML templates are stored in the 
templatesdirectory. - Static files (CSS, JavaScript) are in the 
staticdirectory. 
To run tests, use the following command:
pytestThis will execute all tests in the tests/ directory. For measuring test coverage, you can use pytest-cov by running:
pytest --cov=appThis command will provide a report on the test coverage for the application.
If you encounter any issues:
- Ensure you're using Python 3.10 or higher.
 - Make sure your virtual environment is activated when installing dependencies and running the app.
 - Check that all required dependencies are installed correctly.
 - If you encounter any "Module not found" errors, try reinstalling the dependencies.
 
Contributions are welcome! Please feel free to submit a Pull Request.