Fix: Use temporary directory for model storage to avoid permission issues

Dockerfile

@@ -4,7 +4,8 @@ FROM python:3.8
 WORKDIR /code
 
 # Create necessary directories with proper permissions
-RUN mkdir -p /tmp/uploads && chmod 777 /tmp/uploads
+RUN mkdir -p /tmp/uploads /tmp/models && \
+    chmod 777 /tmp/uploads /tmp/models
 
 # Copy requirements first for better caching
 COPY ./requirements.txt /code/requirements.txt

model_loader.py

@@ -1,20 +1,23 @@
 # model_loader.py
 import os
+import tempfile
 import tensorflow as tf
 from huggingface_hub import hf_hub_download
 
-MODEL_PATH = "model/efficientnetv2s.h5"
+# Use temporary directory for model storage
+TEMP_MODEL_DIR = tempfile.mkdtemp(prefix="model_")
+MODEL_PATH = os.path.join(TEMP_MODEL_DIR, "efficientnetv2s.h5")
 REPO_ID = "Miguel764/efficientnetv2s-skin-cancer-classifier"
 FILENAME = "efficientnetv2s.h5"
 
 def load_model():
     if not os.path.exists(MODEL_PATH):
         print("Model not found locally. Downloading from Hugging Face...")
-        os.makedirs(os.path.dirname(MODEL_PATH), exist_ok=True)
+        print(f"Using temporary model directory: {TEMP_MODEL_DIR}")
         hf_hub_download(
             repo_id=REPO_ID,
             filename=FILENAME,
-            local_dir="model"
+            local_dir=TEMP_MODEL_DIR
         )
     else:
         print("Model already exists locally.")