added dockerfile and updated readme for hf deployment

Dockerfile

@@ -0,0 +1,25 @@
+# Root-level Dockerfile for Hugging Face Spaces deployment.
+# HF Spaces (Docker SDK) requires the Dockerfile at the repo root.
+ARG BASE_IMAGE=python:3.13-slim
+FROM ${BASE_IMAGE}
+
+WORKDIR /app
+
+# Install uv
+RUN pip install uv --no-cache-dir
+
+# Copy project files
+COPY pyproject.toml uv.lock* ./
+COPY models.py client.py __init__.py baseline.py openenv.yaml ./
+COPY server/ ./server/
+COPY tasks/ ./tasks/
+COPY datasets/ ./datasets/
+
+# Install dependencies
+RUN uv sync --frozen --no-dev
+
+# HF Spaces runs containers as a non-root user on port 7860
+ENV PORT=7860
+EXPOSE 7860
+
+CMD ["uv", "run", "uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,3 +1,12 @@
+---
+title: Data Analysis Agent Environment
+emoji: 📊
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+pinned: false
+---
+
 # Data Analysis Agent Environment
 
 An OpenEnv-compliant RL environment for training and evaluating data analysis agents. Agents execute pandas code against a business dataset to answer analytical questions, graded by deterministic programmatic graders.
@@ -87,10 +96,28 @@ uv run uvicorn server.app:app --host 0.0.0.0 --port 8000
 OPENAI_API_KEY=sk-... uv run python baseline.py
 ```
 
-### Docker
+### Docker (local)
+```bash
+docker build -t data-analysis-env .
+docker run -p 7860:7860 data-analysis-env
+```
+
+### Deploy to Hugging Face Spaces
+
+This repo is pre-configured for Hugging Face Spaces (Docker SDK). The YAML frontmatter at the top of this file is read by HF to configure the Space.
+
+1. Create a new Space on [huggingface.co/new-space](https://huggingface.co/new-space), select **Docker** as the SDK.
+2. Push this repo to the Space:
+   ```bash
+   git remote add space https://huggingface.co/spaces/<your-username>/<space-name>
+   git push space main
+   ```
+3. HF will build the `Dockerfile` at the repo root and expose the server on port `7860`.
+4. Your environment URL will be `https://<your-username>-<space-name>.hf.space`.
+
+Point `baseline.py` at the deployed Space:
 ```bash
-docker build -t data-analysis-env -f server/Dockerfile .
-docker run -p 8000:8000 data-analysis-env
+OPENAI_API_KEY=sk-... uv run python baseline.py --base-url https://<your-username>-<space-name>.hf.space
 ```
 
 ### Client usage (Python)