ss

chatbot.py

@@ -294,11 +294,9 @@ Response:"""
         )
         
         # Setup embeddings for vector search
-        embedding_model = SentenceTransformer(
-            "sentence-transformers/all-MiniLM-L6-v2",
-            cache_folder=os.getenv("HF_HOME", "/tmp/huggingface")
+        self.embeddings = HuggingFaceEmbeddings(
+            model_name="sentence-transformers/all-MiniLM-L6-v2"
         )
-        self.embeddings = HuggingFaceEmbeddings(model=embedding_model)
         
         # Setup vector database for retrieving relevant past conversations
         if therapy_guidelines_path and os.path.exists(therapy_guidelines_path):