added env

Dockerfile

@@ -21,4 +21,6 @@ EXPOSE 8000
 HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \
     CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1
 
+# server.app:app — runs server/app.py from /app working directory
+# models.py, client.py, inference.py live at /app root (on PYTHONPATH automatically)
 CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"]

env.example

@@ -0,0 +1,23 @@
+# ============================================================
+#  Data Cleaning OpenEnv — Environment Variables
+#  Copy this file to .env and fill in your values.
+#  Never commit your real .env to version control.
+# ============================================================
+
+# LLM API endpoint (OpenAI-compatible).
+# Default points to OpenAI; swap for any compatible provider.
+API_BASE_URL=https://api.openai.com/v1
+
+# Model identifier to use for baseline inference.
+# Examples: gpt-4o-mini, gpt-4o, mistralai/Mistral-7B-Instruct-v0.2
+MODEL_NAME=gpt-4o-mini
+
+# API key for the LLM provider above.
+# For OpenAI: starts with sk-...
+# For HuggingFace Inference: starts with hf_...
+HF_TOKEN=your-api-key-here
+
+# Base URL of the running environment server.
+# Use http://localhost:8000 for local development,
+# or your HuggingFace Space URL for remote runs.
+ENV_URL=http://localhost:8000