A simple Flask web application that uses CrewAI to run an LLM-powered agent that responds to user input.

• Flask + Tailwind CSS frontend
• CrewAI agent powered by OpenAI (or any LLM via LiteLLM)
• Streams response output using Server-Sent Events (SSE)
• Clean, responsive UI
• .env-based API key config

1. Clone the repo

git clone https://github.com/YOUR_USERNAME/crewai-flask-app.git cd crewai-flask-app

2. Set up a virtual environment

python3 -m venv venv source venv/bin/activate # On Windows use: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Set your OpenAI API key

Create a file called .env and add:

OPENAI_API_KEY=your-openai-key-here

5. Run the app

python app.py

Then open your browser to: http://localhost:5000

crewai_flask_app/ ├── app.py # Flask backend + CrewAI logic ├── requirements.txt # Python dependencies ├── .env # Your API key (excluded from Git) ├── .gitignore ├── templates/ │ └── index.html # Frontend UI with Tailwind + JS └── venv/ # Python virtual environment (ignored)

If you want to avoid OpenAI limits, you can use:

• OpenRouter
• Together.ai
• Local models via Ollama
• Any LiteLLM-compatible provider

MIT — free to use, modify, and share!