Update app.py

app.py

@@ -101,19 +101,7 @@ def add_document_to_vector_store(content: str, source: str, metadata: dict = Non
     except Exception as e:
         logger.error(f"Error adding document from '{source}' to vector store: {e}")
 
-# ... (inside ResearchAgent's __call__ method) ...
-    def __call__(self, question: str) -> str:
-        logger.info(f"Received question: {question[:200]}...")
-        try:
-            global vectorstore
-            if embeddings:
-                # Re-initialize vectorstore without embedding_function
-                vectorstore = DocArrayInMemorySearch() # <--- FIXED THIS LINE as well
-                logger.info("DocArrayInMemorySearch re-initialized for new session.")
-            else:
-                logger.warning("Embeddings not initialized, cannot re-initialize DocArrayInMemorySearch.")
-                return "Error: Embedding model not loaded, cannot process request."
-                
+
 
 # --- Enhanced Tools ---
 class WikiSearchTool(Tool):
@@ -414,7 +402,7 @@ class ChessAnalysisAPITool(Tool):
             return f"An unexpected error occurred during chess analysis: {str(e)}"
 
 # --- Agent Initialization ---
-class BasicAgent:
+class BasicAgent:    
     def __init__(self):
         self.model = HfApiModel(
             temperature=0.0,
@@ -424,6 +412,7 @@ class BasicAgent:
         
         self.tools = self._initialize_tools()
         self.agent = self._create_agent()
+
         
     def _initialize_tools(self) -> list:
         """Initialize all tools with enhanced capabilities"""
@@ -446,6 +435,7 @@ class BasicAgent:
             base_tools.append(RetrievalTool())
         else:
             logger.warning("RetrievalTool not added because vector store or embeddings are not initialized.")
+              
 
         return base_tools