update Dockerfile

Dockerfile

@@ -1,33 +1,30 @@
-# redirige tous les caches HF vers /app/model_cache/hf_cache
-
-# Dockerfile
 FROM python:3.10-slim
 WORKDIR /app
 
-ENV HF_HOME="/app/model_cache/hf_cache"  
-ENV TRANSFORMERS_CACHE="/app/model_cache/transformers_cache"  
-ENV HF_HUB_CACHE="/app/model_cache/hf_hub_cache"  
-ENV HF_DATASETS_CACHE="/app/model_cache/datasets_cache"  
+# 1) Variables pour rediriger tous les caches HF
+ENV HF_HOME="/app/model_cache/hf_cache"
+ENV TRANSFORMERS_CACHE="/app/model_cache/transformers_cache"
+ENV HF_HUB_CACHE="/app/model_cache/hf_hub_cache"
+ENV HF_DATASETS_CACHE="/app/model_cache/datasets_cache"
 
-# 1) Install HF tooling & runtime deps
-RUN pip install --no-cache-dir huggingface_hub
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+# 2) Installer huggingface_hub + dépendances
+RUN pip install --no-cache-dir huggingface_hub \
+    && pip install --no-cache-dir -r requirements.txt
 
-# 2) Download model at build-time directly into model_cache
+# 3) Précharger le modèle au build-time
 RUN python - <<EOF
 from huggingface_hub import snapshot_download
-# This writes ALL repo files under /app/model_cache
 snapshot_download(
-    repo_id="numind/NuExtract-1.5-tiny",
-    local_dir="/app/model_cache"
+  repo_id="numind/NuExtract-1.5-tiny",
+  local_dir="/app/model_cache",            # snapshot final
+  cache_dir="/app/model_cache/hf_cache"    # cache HF
 )
 EOF
 
-RUN chmod -R a+rX /app/model_cache
+# 4) Rendre le dossier accessible à l’utilisateur
+RUN chmod -R a+rX /app/model_cache \
+    && chown -R $(id -u):$(id -g) /app/model_cache
 
-# 3) Copy your FastAPI code
+# 5) Copier le code et démarrer
 COPY . .
-
-ENV PORT=7860
-CMD ["bash","-lc","uvicorn app:app --host 0.0.0.0 --port $PORT"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]