modified code

model.py

@@ -5,7 +5,9 @@ from sklearn.linear_model import LogisticRegression
 from sklearn.preprocessing import LabelEncoder
 from sklearn.model_selection import train_test_split
 import pandas as pd
-
+import os
+# Set the Hugging Face cache directory to a writable location
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface_cache"
 # Load pre-trained Sentence Transformer model
 model = SentenceTransformer('Alibaba-NLP/gte-base-en-v1.5', trust_remote_code=True)