Feature/huggingface space continuous deployment

.dockerignore

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+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+.env
+.venv
+env.bak/
+venv.bak/
+.git
+.gitignore
+.github

.github/workflows/huggingface.yml

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+name: Sync to Hugging Face hub
+on:
+  push:
+    branches: [main]
+
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+jobs:
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          lfs: true
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: |
+          git push --force https://oauth2:$HF_TOKEN@huggingface.co/spaces/twinkle-ai/tw-eval-analyzer main

Dockerfile

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+FROM python:3.13.5-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt ./
+COPY . .
+
+RUN pip3 install -r requirements.txt
+
+# Hugging Face Spaces requires port 7860
+EXPOSE 7860
+
+HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health
+
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]

README.md

@@ -1,3 +1,13 @@
+---
+title: Twinkle Eval Analyzer
+emoji: ✨
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+app_file: app.py
+pinned: false
+---
+
 # 🌟 Eval Analyzer
 
 一個基於 🎈 **Streamlit** 的互動式工具，用來分析 **[Twinkle Eval](https://github.com/ai-twinkle/Eval)** 格式的評估檔案（`.json` / `.jsonl`）。