Update app.py

app.py

@@ -56,9 +56,9 @@ class ChatModel:
         self.current_store = None
         self.current_vectorstore = None
         # Use the same embedding model as in vector store creation
-        self.embeddings = HuggingFaceEmbeddings(
-            model_name="sentence-transformers/all-MiniLM-L6-v2"
-        )
+        # self.embeddings = HuggingFaceEmbeddings(
+        #     model_name="sentence-transformers/all-MiniLM-L6-v2"
+        # )
 
     def load_model(self, model_name):
         """Load and cache the model and tokenizer"""
@@ -88,14 +88,17 @@ class ChatModel:
             if self.current_store != store_name:
                 logger.info(f"Loading new vector store: {store_name}")
                 vector_store_path = f"vector_stores_index/{store_name}"
-                
+                logger.info(f"vector store path: {vector_store_path}")
                 if not os.path.exists(vector_store_path):
                     raise ValueError(f"Vector store not found at: {vector_store_path}")
-                
+
+                embeddings = HuggingFaceEmbeddings(
+                            model_name="sentence-transformers/all-MiniLM-L6-v2"
+                        )
                 # Load new vector store
                 self.current_vectorstore = FAISS.load_local(
                     vector_store_path,
-                    self.embeddings,
+                    embeddings,
                     allow_dangerous_deserialization=True
                 )
                 self.current_store = store_name