Spaces:
Sleeping
Sleeping
Monish BV commited on
Commit ·
83d677f
1
Parent(s): c2b7a7b
Add kiosk-api with HF deployment
Browse files- .dockerignore +10 -0
- .github/workflows/sync-to-hf.yml +28 -0
- Dockerfile +18 -0
- README.md +58 -0
.dockerignore
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.env
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.env.*
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*.pyc
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__pycache__
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.venv
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venv
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.git
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.gitignore
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*.md
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!README.md
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.github/workflows/sync-to-hf.yml
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# Push to Hugging Face Space on every push to main.
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# Create the Space first: huggingface.co/spaces → New Space → Docker → Blank.
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# Name it e.g. monish563/NU-Kiosk-API
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#
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# GitHub repo: Settings → Secrets and variables → Actions → Add HF_TOKEN
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name: Sync to Hugging Face
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on:
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push:
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branches:
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- main
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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lfs: true
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- name: Push to Hugging Face Space
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: |
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git push https://monish563:$HF_TOKEN@huggingface.co/spaces/monish563/NU-Kiosk-API main --force
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Dockerfile
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FROM python:3.11-slim
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PORT=7860
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY backend backend
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COPY Archive Archive
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EXPOSE 7860
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# HF Spaces set PORT=7860; use PORT or fallback to 7860
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CMD ["sh", "-c", "uvicorn backend.main:app --host 0.0.0.0 --port ${PORT:-7860}"]
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README.md
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# Northwestern CS Kiosk API
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REST API backend for the Northwestern CS Department Kiosk. This is a stripped-down version optimized for integration with external systems (e.g., speech-to-text/text-to-speech).
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---
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## API Reference
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### Health Check
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---
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title: Northwestern CS Kiosk API
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emoji: 🎙️
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colorFrom: blue
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colorTo: indigo
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sdk: docker
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sdk_version: "latest"
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app_file: Dockerfile
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pinned: false
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---
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# Northwestern CS Kiosk API
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REST API backend for the Northwestern CS Department Kiosk. This is a stripped-down version optimized for integration with external systems (e.g., speech-to-text/text-to-speech).
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---
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## Deploy to Hugging Face Spaces
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Deploy this API as a public endpoint so your manager (or STT/TTS systems) can send requests from anywhere.
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### 1. Create a new Space
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1. Go to [huggingface.co/spaces](https://huggingface.co/spaces)
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2. Click **Create new Space**
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3. Choose **Docker** SDK, **Blank** template
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4. Name it (e.g. `monish563/NU-Kiosk-API`)
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5. Create, then push this `kiosk-api` folder to the Space repo
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### 2. Add secrets (Settings → Variables and secrets → Secrets Private)
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| Secret | Required | Description |
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|--------|----------|-------------|
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| `ANTHROPIC_API_KEY` | **Yes*** | Anthropic API key (starts with `sk-ant-api03-...`) |
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| `KIOSK_LLM_PROVIDER` | No | Default: `anthropic` |
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| `KIOSK_LLM_MODEL` | No | Default: `claude-3-5-haiku-20241022` |
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| `KIOSK_LLM_SYSTEM_PROMPT` | No | Custom system prompt for the receptionist |
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| `KIOSK_LLM_STYLE` | No | Style guidelines for TTS-friendly responses |
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| `OPENAI_API_KEY` | No | If using `provider: "openai"` |
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| `GEMINI_API_KEY` | No | If using `provider: "gemini"` |
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*At least one LLM API key (`ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, or `GEMINI_API_KEY`) is required.
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### 3. Endpoint URL for your manager
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Once the Space is built and running, the base URL will be:
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```
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https://<your-username>-<space-name>.hf.space
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```
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**Main endpoint (for STT → TTS flow):**
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```
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POST https://<your-username>-<space-name>.hf.space/api/query
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Content-Type: application/json
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{"question": "Where is Professor Hammond's office?"}
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```
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**Response:** `{"answer": "...", ...}` — send `answer` to your TTS system.
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---
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## API Reference
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### Health Check
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