don't use utils.py yet

app.py

@@ -13,7 +13,6 @@ import matplotlib.colors as mcolors
 import plotly.express as px
 import seaborn as sns
 from tqdm import tqdm
-from utils import css
 
 PATH = '/data/' # at least 150GB storage needs to be attached
 os.environ['TRANSFORMERS_CACHE'] = PATH
@@ -21,6 +20,10 @@ os.environ['HF_HOME'] = PATH
 os.environ['HF_DATASETS_CACHE'] = PATH
 os.environ['TORCH_HOME'] = PATH
 
+css = '''
+.info {font-size: 3em; !important}
+'''
+
 HF_TOKEN = os.environ["hf_read"]
 
 SENTIMENT_LABEL_NAMES = {0: "Negative", 1: "No sentiment or Neutral sentiment", 2: "Positive"}

utils.py

@@ -27,8 +27,4 @@ def download_hf_models():
                                                                    token=HF_TOKEN)
     for tokenizer_id in tokenizers:
         AutoTokenizer.from_pretrained(tokenizer_id)
-        
-css = '''
-.info {font-size: 3em; !important}
-'''