asd

app.py

@@ -8,10 +8,10 @@ from sentence_splitter import SentenceSplitter
 from itertools import product
 
 # Get the Hugging Face token from environment variable
-hf_token = os.getenv('hf_token')
+hf_token = os.getenv('HF_TOKEN')
 
 cuda_available = torch.cuda.is_available()
-device = torch.device("cuda" if cuda_available else "cpu")
+device = torch.device("cpu" if cuda_available else "cpu")
 print(f"Using device: {device}")
 
 # Initialize paraphraser model and tokenizer
@@ -37,7 +37,7 @@ def classify_text(text):
     main_score = probabilities[0][predicted_class].item()
     return main_label, main_score
 
-@spaces.GPU
+# @spaces.GPU
 def generate_paraphrases(text, setting, output_format):
     sentences = splitter.split(text)
     all_sentence_paraphrases = []