asdasf

Dockerfile

@@ -1,47 +1,47 @@
 FROM python:3.10-slim
 
-# 1) Set up env so caches live under the non-root user’s home
-ENV HOME="/home/user" \
-    HF_HOME="$HOME/.cache/huggingface" \
-    HF_HUB_CACHE="$HF_HOME/hub" \
-    TRANSFORMERS_CACHE="$HF_HOME/transformers" \
-    DOCLING_ARTIFACTS_PATH="$HOME/.cache/docling/models" \
+# 1) Configure all caches under the non-root home
+ENV HOME=/home/user \
+    HF_HOME=/home/user/.cache/huggingface \
+    HF_HUB_CACHE=/home/user/.cache/huggingface/hub \
+    TRANSFORMERS_CACHE=/home/user/.cache/huggingface/transformers \
+    DOCLING_ARTIFACTS_PATH=/home/user/.cache/docling/models \
     OMP_NUM_THREADS=2
 
-# 2) Create non-root user early
-RUN useradd -m -u 1000 user
-
-# 3) Install system deps
+# 2) Install system-level dependencies
 RUN apt-get update && apt-get install -y \
       build-essential git libpoppler-cpp-dev poppler-utils \
       libmagic-dev python3-dev \
     && rm -rf /var/lib/apt/lists/*
 
-# 4) Copy & install Python deps
+# 3) Create a non-root user
+RUN useradd -m -u 1000 user
+
 WORKDIR $HOME/app
-COPY --chown=user:user requirements.txt ./
+
+# 4) Copy & install Python runtime dependencies
+COPY requirements.txt ./
 RUN pip install --no-cache-dir \
       torch torchvision --extra-index-url https://download.pytorch.org/whl/cpu \
       huggingface_hub accelerate \
     && pip install --no-cache-dir -r requirements.txt
 
-# 5) Prepare cache dirs under root and chown to user
+# 5) Prepare cache directories and give ownership to `user`
 RUN mkdir -p \
-      $DOCLING_ARTIFACTS_PATH \
       $HF_HUB_CACHE \
+      $DOCLING_ARTIFACTS_PATH \
       $HOME/app/model_cache \
     && chown -R user:user \
-      $HOME/.cache/docling \
-      $HOME/.cache/huggingface \
+      $HOME/.cache \
       $HOME/app/model_cache
 
-# 6) Switch to non-root: prefetch Docling models into $HOME/.cache/docling/models
+# 6) Switch to non-root and prefetch Docling’s models
 USER user
 RUN pip install --no-cache-dir docling \
  && docling-tools models download
 
-# 7) Prefetch NuExtract model into app/model_cache using user-owned HF cache
-RUN python - <<EOF
+# 7) Prefetch your NuExtract model into model_cache
+RUN python3 - <<EOF
 import os
 from huggingface_hub import snapshot_download
 snapshot_download(
@@ -51,6 +51,6 @@ snapshot_download(
 )
 EOF
 
-# 8) Copy application code and start
+# 8) Copy your application code & start the server
 COPY --chown=user:user . .
-CMD ["uvicorn","app:app","--host","0.0.0.0","--port","7860"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]