Update app.py

app.py

@@ -12,7 +12,7 @@ with open(os.path.join(MODEL_DIR, "recommender_svd_mf.pkl"), "rb") as f:
     svd_model = joblib.load(f)
 
 # Load movie metadata
-movies_df = pd.read_csv(MOVIE_DATA_PATH)  # should include [movieId, title, poster_url, actors]
+movies_df = pd.read_csv(MOVIE_DATA_PATH, low_memory=False)  # add low_memory=False to suppress DtypeWarning
 
 def recommend(user_id, top_k=5):
     """Generate top-k recommendations using SVD model."""
@@ -52,7 +52,7 @@ demo = gr.Interface(
     ],
     outputs=[
         gr.Textbox(label="Recommended Movies"),
-        gr.Gallery(label="Posters").style(grid=[3], height="auto"),
+        gr.Gallery(label="Posters"),
         gr.Textbox(label="Explanations")
     ],
     title="Movie Recommender System",