Update model.py

model.py

@@ -1,3 +1,5 @@
+import os
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/hf-cache"
 from typing import List, Optional
 from pydantic import BaseModel
 from transformers import pipeline
@@ -9,9 +11,7 @@ from sklearn.cluster import KMeans
 from nltk.tokenize import sent_tokenize
 from sklearn.metrics.pairwise import cosine_similarity
 import numpy as np
-import os
-os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface"
-# 📄 Load HuggingFace Pipelines
+
 summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
 sentiment_analyzer = pipeline("sentiment-analysis")