Deploy DeepFake Detector API - 2026-04-21 00:22:37

Dockerfile

@@ -12,7 +12,10 @@ ENV PYTHONDONTWRITEBYTECODE=1 \
     PIP_NO_CACHE_DIR=1 \
     PIP_DISABLE_PIP_VERSION_CHECK=1 \
     PORT=7860 \
-    HF_CACHE_DIR=/app/.hf_cache
+    HF_CACHE_DIR=/app/.hf_cache \
+    HF_HUB_CACHE=/app/.hf_cache \
+    HF_HOME=/app/.hf_cache/hf_home \
+    HF_XET_CACHE=/app/.hf_cache/xet
 
 # Install system dependencies
 RUN apt-get update && apt-get install -y --no-install-recommends \
@@ -37,13 +40,15 @@ COPY --chown=user:user start.sh /app/start.sh
 
 # Switch to root to create cache directory and set permissions
 USER root
-RUN mkdir -p /app/.hf_cache && chown -R user:user /app/.hf_cache && chmod +x /app/start.sh
+RUN mkdir -p /app/.hf_cache /app/.hf_cache/hf_home /app/.hf_cache/xet \
+    && chown -R user:user /app/.hf_cache \
+    && chmod +x /app/start.sh
 
 # Switch back to user
 USER user
 
 # Prefetch model artifacts at build time so startup does not wait on model downloads.
-RUN python -m app.scripts.prefetch_models
+RUN HF_CACHE_DIR=/app/.hf_cache HF_HUB_CACHE=/app/.hf_cache HF_HOME=/app/.hf_cache/hf_home HF_XET_CACHE=/app/.hf_cache/xet python -m app.scripts.prefetch_models
 
 # Copy full project contents after prefetch so docs/tests edits do not invalidate prefetch layers.
 COPY --chown=user:user . /app

app/core/config.py

@@ -19,7 +19,7 @@ def _default_hf_home() -> str:
     """Prefer persistent Hugging Face home on HF Spaces when available."""
     if os.path.isdir("/data"):
         return "/data/.cache/huggingface"
-    return "/app/.cache/huggingface"
+    return "/app/.hf_cache/hf_home"
 
 
 class Settings(BaseSettings):

start.sh

@@ -25,7 +25,7 @@ if [ "${HF_PERSISTENT_CACHE:-true}" = "true" ] && [ -d "$PERSIST_ROOT" ] && [ -w
         export HF_CACHE_DIR="$PERSIST_ROOT/.hf_cache"
     fi
 else
-    export HF_HOME="${HF_HOME:-/app/.cache/huggingface}"
+    export HF_HOME="${HF_HOME:-/app/.hf_cache/hf_home}"
     export HF_CACHE_DIR="${HF_CACHE_DIR:-/app/.hf_cache}"
 fi