Pre-download SigLIP model and configure cache paths

Dockerfile

@@ -5,6 +5,22 @@ WORKDIR /app
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
+# Configure Hugging Face cache directories with write access
+ENV HF_HOME=/app/hf_cache \
+    TRANSFORMERS_CACHE=/app/hf_cache \
+    HF_DATASETS_CACHE=/app/hf_cache
+RUN mkdir -p /app/hf_cache
+
+# Pre-download SigLIP model weights and processor during build
+RUN python - <<'PY'
+from transformers import AutoModel, AutoProcessor
+model = "google/siglip2-base-patch16-384"
+print("Downloading", model)
+AutoProcessor.from_pretrained(model)
+AutoModel.from_pretrained(model)
+print("Model assets cached")
+PY
+
 COPY . .
 
 ENV IMAGE_EMBEDDINGS_PATH=/app/embeddings/image_embeddings.parquet