Update app/utils/embedder.py

app/utils/embedder.py

@@ -1,19 +1,20 @@
-# app/utils/embedder.py
-
-import gdown
 import os
+import tempfile
+
+# ✅ Force cache paths to a writable location
+HF_CACHE = os.path.join(tempfile.gettempdir(), "hf_cache")
+os.environ["HF_HOME"] = HF_CACHE
+os.environ["TRANSFORMERS_CACHE"] = HF_CACHE
+os.environ["SENTENCE_TRANSFORMERS_HOME"] = HF_CACHE
+
+from sentence_transformers import SentenceTransformer
 import faiss
 import numpy as np
-import tempfile
 import pickle
-from sentence_transformers import SentenceTransformer
+import gdown
 
 class Embedder:
     def __init__(self, model_name='sentence-transformers/all-MiniLM-L6-v2'):
-        cache_dir = tempfile.gettempdir()
-        os.environ['TRANSFORMERS_CACHE'] = cache_dir
-        os.environ['HF_HOME'] = cache_dir
-
         self.model = SentenceTransformer(model_name)
         self.index = None
         self.metadata = None
@@ -35,7 +36,7 @@ class Embedder:
     def query(self, query_text, k=5):
         if self.index is None or self.metadata is None:
             raise ValueError("Index or metadata not loaded")
-
+        
         query_embedding = self.model.encode([query_text]).astype('float32')
         D, I = self.index.search(query_embedding, k)
         results = self.metadata.iloc[I[0]].copy()