Update app.py

app.py

@@ -59,17 +59,18 @@ ENDING = """For search acceleration capabilities, please refer to [Searchium.ai]
 
 
 DATA_PATH = '/home/user'
-huggingface_hub.snapshot_download(repo_id="Searchium-ai/clip4clip-webvid150k", repo_type="model", cache_dir=DATA_PATH)
+downloaded_path = huggingface_hub.snapshot_download(repo_id="Searchium-ai/clip4clip-webvid150k", repo_type="model", cache_dir=DATA_PATH)
 
-ft_visual_features_file = DATA_PATH + '/models--Searchium-ai--clip4clip-webvid150k/snapshots/d349063a151fe22e934d47d611a1ec97b8e6168e/new_data/video_half_dataset_visual_features.npy'
-ft_visual_features_file_bin = DATA_PATH + '/models--Searchium-ai--clip4clip-webvid150k/snapshots/d349063a151fe22e934d47d611a1ec97b8e6168e/new_data/video_half_dataset_visual_features_binary_packed.npy'
+ft_visual_features_file = downloaded_path +'/new_data/video_half_dataset_visual_features.npy'
+ft_visual_features_file_bin = downloaded_path + '/new_data/video_half_dataset_visual_features_binary_packed.npy'
 
 #load database features:
 ft_visual_features_database_bin = np.load(ft_visual_features_file_bin)
 ft_visual_features_database = np.load(ft_visual_features_file, mmap_mode='r')
 
 
-database_csv_path = os.path.join(DATA_PATH, '/models--Searchium-ai--clip4clip-webvid150k/snapshots/d349063a151fe22e934d47d611a1ec97b8e6168e/new_data/video_half_dataset.csv')
+
+database_csv_path = downloaded_path + '/new_data/video_half_dataset.csv')
 database_df = pd.read_csv(database_csv_path)
 
 class NearestNeighbors: