Update app/model_loader.py

app/model_loader.py

@@ -3,20 +3,22 @@ import os
 import tensorflow as tf
 from huggingface_hub import hf_hub_download
 
-MODEL_PATH = "app/model/efficientnetv2s.h5"
+# Use /tmp instead of /app — /tmp is always writable inside Docker containers
+MODEL_DIR = "/tmp/model"
+MODEL_PATH = os.path.join(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)
+        os.makedirs(MODEL_DIR, exist_ok=True)
         hf_hub_download(
             repo_id=REPO_ID,
             filename=FILENAME,
-            local_dir="app/model"
+            local_dir=MODEL_DIR
         )
     else:
         print("Model already exists locally.")
 
-    return tf.keras.models.load_model(MODEL_PATH)
+    return tf.keras.models.load_model(MODEL_PATH)