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title: T2AV Eval UI
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
---
# Video Evaluation UI
This app is configured to deploy as a Hugging Face Docker Space. The Docker
build compiles the Vite frontend, serves it from FastAPI, and stores each
annotation as a JSON file in a Hugging Face Dataset repo.
## Hugging Face Space Deployment
1. Create a new Space on Hugging Face and choose Docker as the SDK.
2. Add a Space secret named `HF_TOKEN` with a Hugging Face token that has write
access to datasets.
3. Optional: set `HF_ANNOTATIONS_DATASET` if you want to use a dataset repo
other than `adinayak/t2av_eval_annotations`.
4. Add this repository as the Space repository or push it to the Space remote:
```bash
git remote add hf https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME
git push hf main
```
5. Hugging Face will build the root `Dockerfile` and expose the app on port
`7860`.
The backend creates the annotation dataset repo on first save if it does not
already exist. By default it creates the dataset as private. Set
`HF_ANNOTATIONS_DATASET_PRIVATE=false` to create a public dataset instead.
## Backend
cd backend
pip install -r requirements.txt
uvicorn main:app --reload
Backend runs at:
http://localhost:8000
Health check:
http://localhost:8000/health
## Frontend
cd frontend
npm install
npm run dev
Frontend runs at:
http://localhost:5173
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