Use unstructured-inference, CPU only

containers/Containerfile.unstructured

@@ -38,6 +38,11 @@ RUN ls /root/wheels
 
 FROM base
 
+# Pre-install CPU-only PyTorch so that unstructured[pdf]'s torch
+# dependency is satisfied without pulling in CUDA (~190MB vs ~2GB+)
+RUN pip3 install --no-cache-dir torch==2.11.0+cpu \
+    --index-url https://download.pytorch.org/whl/cpu
+
 COPY --from=build /root/wheels /root/wheels
 
 RUN \

trustgraph-unstructured/pyproject.toml

@@ -14,13 +14,7 @@ dependencies = [
     "pulsar-client",
     "prometheus-client",
     "python-magic",
-    "unstructured[csv,docx,epub,md,odt,pptx,rst,rtf,tsv,xlsx]",
-    "pdfminer.six",
-    "pdf2image",
-    "pikepdf",
-    "pi_heif",
-    "pypdfium2",
-    "unstructured.pytesseract",
+    "unstructured[csv,docx,epub,md,odt,pdf,pptx,rst,rtf,tsv,xlsx]",
 ]
 classifiers = [
     "Programming Language :: Python :: 3",