FastAPI, Flask, Django — Generated and Live-Previewed

Build a Python web app for reviewing laboratory equipment bookings. Maintain instruments, availability, booking requests and approvals, with a browser interface and documented API endpoints.

Include these capabilities:
- FastAPI, Flask, Django or Streamlit project generation
- Live preview on real microVMs with automatic start detection
- API endpoints, data models and server-rendered or API-first UIs
- requirements.txt / pyproject.toml managed for you
- Full source export — run it on any Python host or your own infra

Build the complete working project with its routes, data model and interactions. For saved or private data, implement persistence, authentication and server-side permissions. Keep API credentials on the server. For external services, document the required setup and use test mode until real accounts are connected. Do not present a simulated integration as a completed live connection.

Make the interface responsive, with accessible labels, keyboard navigation and visible focus. Include loading, empty, validation and error states. Use clearly labelled sample data, never invented customer testimonials or results. Choose a visual direction suited to this project and keep typography, spacing and controls consistent. Explain how to run, test, export and deploy the source.

Verify this end-to-end flow:
Create a booking through the UI and read it through the API. Reject overlapping approvals and unauthorized writes using the same database rules.