Update app.py

app.py

@@ -3,11 +3,13 @@ import torch
 import pickle
 from transformers import ClapModel, ClapProcessor
 from sklearn.metrics.pairwise import cosine_similarity
+import spaces 
 
 def load_results_from_pickle(input_file):
     with open(input_file, 'rb') as f:
         return pickle.load(f)
 
+@spaces.GPU
 def compare_text_to_audio_embeddings(text, pickle_file):
     model = ClapModel.from_pretrained("laion/larger_clap_music_and_speech").to(0)
     processor = ClapProcessor.from_pretrained("laion/larger_clap_music_and_speech")