corrigiendo app

Dockerfile

@@ -1,12 +1,12 @@
 FROM python:3.11-slim
 
 ENV PYTHONUNBUFFERED=1 \
-    HF_HOME=/data/.huggingface
+    HF_HOME=/tmp/.cache/huggingface \ 
+    YOLO_CONFIG_DIR=/tmp/Ultralytics
 
-# 👇 añade estas dependencias del sistema
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    libgl1 libglib2.0-0 \
-    && rm -rf /var/lib/apt/lists/*
+    libgl1 libglib2.0-0 && \
+    rm -rf /var/lib/apt/lists/*
 
 WORKDIR /app
 COPY requirements.txt .
@@ -14,4 +14,4 @@ RUN pip install --no-cache-dir -r requirements.txt
 
 COPY . .
 EXPOSE 7860
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uvicorn","app:app","--host","0.0.0.0","--port","7860"]

app.py

@@ -7,29 +7,34 @@ import easyocr
 from fastapi import FastAPI, HTTPException, File, UploadFile
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel, Field
-from huggingface_hub import hf_hub_download
 
-local_path = "/app/best.pt"
+TMP_DIR = "/tmp"
+os.makedirs(f"{TMP_DIR}/Ultralytics", exist_ok=True)
+os.makedirs(f"{TMP_DIR}/.EasyOCR", exist_ok=True)
+
+from huggingface_hub import hf_hub_download
 
-# --- Modelo YOLO desde el Hub (cachea en HF_HOME si lo configuras) ---
 try:
     WEIGHTS = hf_hub_download(
         repo_id="keremberke/yolov5n-license-plate",
         filename="best.pt",
-        token=os.getenv("HF_TOKEN", None),  # si no tienes token, no pasa nada
+        token=os.getenv("HF_TOKEN", None),  # opcional
     )
 except Exception:
-    # Fallback simple por si hay un token inválido en el entorno
+    # 2) Fallback directo a /tmp si falla la caché
+    local_path = os.path.join(TMP_DIR, "best.pt")
     if not os.path.exists(local_path):
         url = "https://huggingface.co/keremberke/yolov5n-license-plate/resolve/main/best.pt"
         req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
         with urllib.request.urlopen(req) as r, open(local_path, "wb") as f:
             f.write(r.read())
     WEIGHTS = local_path
+
 yolo = YOLO(WEIGHTS)
 
 # EasyOCR con GPU si está disponible
-reader = easyocr.Reader(['en'], gpu=torch.cuda.is_available())
+reader = easyocr.Reader(['en'], gpu=torch.cuda.is_available(),
+                        model_storage_directory=f"{TMP_DIR}/.EasyOCR")
 
 ALLOW = "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"