Update src/streamlit_app.py

src/streamlit_app.py

@@ -4,29 +4,17 @@ import numpy as np
 import tensorflow as tf
 import joblib
 import os
-import zipfile
-import tempfile
 
-# Define static file paths
+# Define file paths
 BASE_DIR = os.path.dirname(__file__)
-ZIP_MODEL_PATH = os.path.join(BASE_DIR, "recommender_model.zip")
+KERAS_MODEL_PATH = os.path.join(BASE_DIR, "recommender_model.keras")
 MOVIES_PATH = os.path.join(BASE_DIR, "movies.csv")
 ENCODINGS_PATH = os.path.join(BASE_DIR, "encodings.pkl")
 
 @st.cache_resource
 def load_model():
     try:
-        # Define extraction directory in a writable temp location
-        extract_dir = os.path.join(tempfile.gettempdir(), "recommender_model_extracted")
-
-        # Only extract if not already done
-        if not os.path.exists(extract_dir):
-            with zipfile.ZipFile(ZIP_MODEL_PATH, "r") as zip_ref:
-                zip_ref.extractall(extract_dir)
-
-        # Load model from extracted directory
-        return tf.keras.models.load_model(extract_dir)
-
+        return tf.keras.models.load_model(KERAS_MODEL_PATH)
     except Exception as e:
         st.error(f"❌ Failed to load model:\n\n{e}")
         st.stop()