README.md

metadata

title: AI vs Human Code Classifier
emoji: 🤖
colorFrom: purple
colorTo: blue
sdk: docker
python_version: 3.11.9
suggested_hardware: cpu-basic
startup_duration_timeout: 60m
preload_from_hub:
  - microsoft/unixcoder-base
models:
  - microsoft/unixcoder-base
short_description: AI vs human code classifier
tags:
  - code-classification
  - explainability
  - xgboost

AI vs Human Code Classifier

Gradio demo for Hugging Face Spaces using the same inference stack as the Reflex app (reflex_ui).

Deploy on Hugging Face

1. Create a new Space, pick Gradio, then push this repository (or connect GitHub and set the repository).
2. In Settings → Hardware, keep CPU Basic (free: 16 GB RAM) unless you need a GPU.
3. Open the App tab. The first run may take a while while weights load.

Public URL shape: https://huggingface.co/spaces/<your-username>/<space-name> (and the .hf.space embed URL from the Space menu).

Local Gradio (optional)

pip install -r requirements.txt
python app.py

Local Reflex UI

See reflex_ui/README.md for the full Reflex front end.