Update env Space metadata

Dockerfile

@@ -1,24 +1,24 @@
-# CERNenv environment Space (Docker, CPU)
-FROM python:3.11-slim
-
-ENV PYTHONUNBUFFERED=1 \
-    PIP_NO_CACHE_DIR=1 \
-    PYTHONPATH=/home/user/app
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-        git curl ca-certificates build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN useradd -ms /bin/bash user
-USER user
-WORKDIR /home/user/app
-
-COPY --chown=user:user space/env/requirements.txt /tmp/requirements.txt
-RUN python -m pip install --upgrade pip && \
-    python -m pip install --user -r /tmp/requirements.txt
-
-COPY --chown=user:user . /home/user/app
-
-EXPOSE 7860
-
-CMD ["python", "-m", "uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "7860"]
+# CERNenv environment Space (Docker, CPU)
+FROM python:3.11-slim
+
+ENV PYTHONUNBUFFERED=1 \
+    PIP_NO_CACHE_DIR=1 \
+    PYTHONPATH=/home/user/app
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        git curl ca-certificates build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN useradd -ms /bin/bash user
+USER user
+WORKDIR /home/user/app
+
+COPY --chown=user:user space/env/requirements.txt /home/user/app/space-env-requirements.txt
+RUN python -m pip install --upgrade pip && \
+    python -m pip install --user -r /home/user/app/space-env-requirements.txt
+
+COPY --chown=user:user . /home/user/app
+
+EXPOSE 7860
+
+CMD ["python", "-m", "uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,51 +1,51 @@
----
-title: CERNenv
-emoji: ⚛️
-colorFrom: blue
-colorTo: indigo
-sdk: docker
-suggested_hardware: cpu-basic
-pinned: false
-license: bsd-3-clause
-short_description: LHC particle-discovery RL environment
----
-
-# CERNenv — LHC Discovery RL Environment
-
-OpenEnv-compatible reinforcement-learning environment that simulates an
-LHC (Large Hadron Collider) analysis. An LLM (Large Language Model) agent
-configures the beam, allocates luminosity, picks a decay channel and
-trigger, runs reconstruction, fits an invariant-mass spectrum, estimates
-significance, and finally submits a structured discovery claim that is
-graded against a hidden ground-truth particle.
-
-The Space exposes the standard OpenEnv HTTP + WebSocket API:
-
-* `GET  /health` — liveness
-* `GET  /schema` — action / observation / state JSON schemas
-* `POST /reset`  — start a new episode (`{ "seed": 7, "scenario": "easy_diphoton_160" }`)
-* `POST /step`   — execute one action
-* `GET  /state`  — current `CernState`
-* `WS   /ws`     — persistent session (recommended for multi-step rollouts)
-
-## Quickstart (Python client)
-
-```python
-import asyncio
-from openenv.core import EnvClient
-from huggingface_hub import constants
-
-# replace with your space id
-SPACE = "YOUR_HF_USERNAME/cernenv"
-
-# (option A) connect to the running Space directly
-import websockets
-async def main():
-    async with EnvClient.from_env(SPACE) as env:  # uses websockets under the hood
-        result = await env.reset(seed=7, scenario="easy_diphoton_160")
-        ...
-
-asyncio.run(main())
-```
-
-For training, see the companion **CERNenv Trainer** Space.
+---
+title: CERNenv
+emoji: ⚛️
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+suggested_hardware: cpu-basic
+pinned: false
+license: bsd-3-clause
+short_description: LHC particle-discovery RL environment
+---
+
+# CERNenv — LHC Discovery RL Environment
+
+OpenEnv-compatible reinforcement-learning environment that simulates an
+LHC (Large Hadron Collider) analysis. An LLM (Large Language Model) agent
+configures the beam, allocates luminosity, picks a decay channel and
+trigger, runs reconstruction, fits an invariant-mass spectrum, estimates
+significance, and finally submits a structured discovery claim that is
+graded against a hidden ground-truth particle.
+
+The Space exposes the standard OpenEnv HTTP + WebSocket API:
+
+* `GET  /health` — liveness
+* `GET  /schema` — action / observation / state JSON schemas
+* `POST /reset`  — start a new episode (`{ "seed": 7, "scenario": "easy_diphoton_160" }`)
+* `POST /step`   — execute one action
+* `GET  /state`  — current `CernState`
+* `WS   /ws`     — persistent session (recommended for multi-step rollouts)
+
+## Quickstart (Python client)
+
+```python
+import asyncio
+from openenv.core import EnvClient
+from huggingface_hub import constants
+
+# replace with your space id
+SPACE = "YOUR_HF_USERNAME/cernenv"
+
+# (option A) connect to the running Space directly
+import websockets
+async def main():
+    async with EnvClient.from_env(SPACE) as env:  # uses websockets under the hood
+        result = await env.reset(seed=7, scenario="easy_diphoton_160")
+        ...
+
+asyncio.run(main())
+```
+
+For training, see the companion **CERNenv Trainer** Space.

requirements.txt

@@ -0,0 +1,6 @@
+numpy>=1.24.0
+scipy>=1.10.0
+pydantic>=2.0.0
+fastapi>=0.110.0
+uvicorn>=0.27.0
+openenv-core[core]>=0.2.3