Final rebuild: ubuntu-22.04 binary (glibc 2.35, Bookworm-compatible)

Dockerfile

@@ -1,34 +1,35 @@
-# LARQL Explorer — HuggingFace Space
-# Downloads the pre-built Linux binary from the cronos3k/larql GitHub Release.
-# No Rust build step: fast image build (~2 min), no compiler toolchain needed.
-# Binary source: https://github.com/cronos3k/larql/releases/tag/latest-linux
-
-FROM python:3.11-slim-bookworm
-
-# Runtime deps only: libopenblas0 for the larql binary, curl for the download
-RUN apt-get update && apt-get install -y \
-    libopenblas0 curl ca-certificates \
-    && rm -rf /var/lib/apt/lists/*
-
-# Download the latest pre-built Linux binary from GitHub Releases
-RUN curl -fsSL \
-    https://github.com/cronos3k/larql/releases/download/latest-linux/larql-linux-x86_64 \
-    -o /usr/local/bin/larql \
-    && chmod +x /usr/local/bin/larql
-
-# Copy the Gradio demo app
-COPY app.py utils.py requirements.txt /app/
-
-WORKDIR /app
-RUN pip install --no-cache-dir -r requirements.txt
-
-# HuggingFace Spaces runs as non-root UID 1000
-RUN useradd -m -u 1000 hfuser && mkdir -p /app/models && chown -R hfuser /app
-USER hfuser
-
-EXPOSE 7860
-ENV GRADIO_SERVER_NAME=0.0.0.0
-ENV GRADIO_SERVER_PORT=7860
-
-# app.py downloads the demo vindex from HF dataset on first startup (~480 MB, fast on HF infra)
-CMD ["python", "app.py"]
+# LARQL Explorer — HuggingFace Space
+# Downloads the pre-built Linux binary from the cronos3k/larql GitHub Release.
+# No Rust build step: fast image build (~2 min), no compiler toolchain needed.
+# Binary source: https://github.com/cronos3k/larql/releases/tag/latest-linux
+# Built on: ubuntu-22.04 (glibc 2.35, compatible with Debian bookworm glibc 2.36)
+
+FROM python:3.11-slim-bookworm
+
+# Runtime deps only: libopenblas0 for the larql binary, curl for the download
+RUN apt-get update && apt-get install -y \
+    libopenblas0 curl ca-certificates \
+    && rm -rf /var/lib/apt/lists/*
+
+# Download the latest pre-built Linux binary from GitHub Releases
+RUN curl -fsSL \
+    https://github.com/cronos3k/larql/releases/download/latest-linux/larql-linux-x86_64 \
+    -o /usr/local/bin/larql \
+    && chmod +x /usr/local/bin/larql
+
+# Copy the Gradio demo app
+COPY app.py utils.py requirements.txt /app/
+
+WORKDIR /app
+RUN pip install --no-cache-dir -r requirements.txt
+
+# HuggingFace Spaces runs as non-root UID 1000
+RUN useradd -m -u 1000 hfuser && mkdir -p /app/models && chown -R hfuser /app
+USER hfuser
+
+EXPOSE 7860
+ENV GRADIO_SERVER_NAME=0.0.0.0
+ENV GRADIO_SERVER_PORT=7860
+
+# app.py downloads the demo vindex from HF dataset on first startup (~480 MB, fast on HF infra)
+CMD ["python", "app.py"]