Prepare for hosting

Dockerfile

@@ -0,0 +1,16 @@
+FROM python:3.12
+COPY --from=ghcr.io/astral-sh/uv:0.4.20 /uv /bin/uv
+
+RUN useradd -m -u 1000 user
+ENV PATH="/home/user/.local/bin:$PATH"
+ENV UV_SYSTEM_PYTHON=1
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN uv pip install -r requirements.txt
+
+COPY --chown=user . /app
+USER user
+
+CMD ["gunicorn", "app:server", "--workers", "4", "--bind", "0.0.0.0:7860"]

README.md

@@ -0,0 +1,5 @@
+---
+title: BenchDash
+sdk: docker
+app_port: 7860
+---

app.py

@@ -330,7 +330,7 @@ def _embedding_grid_figure(
         df_emb = generate_mock_embedding(ds, md, noise_level=noise_level)
 
         # Single trace: continuous color encodes regression target
-        # Use cmin/cmax so all panels share the same color normalization. :contentReference[oaicite:2]{index=2}
+        # Use cmin/cmax so all panels share the same color normalization.
         show_scale = (idx == 0)
 
         fig.add_trace(
@@ -348,7 +348,7 @@ def _embedding_grid_figure(
                     cmin=float(BEHAVIOR_RANGE[0]),
                     cmax=float(BEHAVIOR_RANGE[1]),
                     showscale=show_scale,
-                    colorbar=dict(  # colorbar config supported via marker.colorbar :contentReference[oaicite:3]{index=3}
+                    colorbar=dict(  # colorbar config supported via marker.colorbar
                         title=dict(text="behavior"),
                         tickformat=".2f",
                         len=0.70,
@@ -377,6 +377,7 @@ ALL_DATASETS = list(TOY_STORE.keys())
 ALL_MODELS = sorted({m for df in TOY_STORE.values() for m in df["model"].astype(str).tolist()})
 
 app = Dash(__name__)
+server = app.server
 
 app.layout = html.Div(
     [

requirements.txt

@@ -0,0 +1,5 @@
+dash
+gunicorn
+numpy
+pandas
+plotly