Update app.py

app.py

@@ -549,7 +549,7 @@ with strategies_container:
             )
 
             # LCEL Chains with memory integration
-            if os.path.exists(file_path)
+            if os.path.exists(file_path):
                 financials_chain = (
                     {
                         "context": doc_retriever_financials,
@@ -581,7 +581,7 @@ with strategies_container:
             description="Useful for answering questions about specific ESG figures, data and statistics.",
             )
 
-            if os.path.exists(file_path)
+            if os.path.exists(file_path):
                 vector_query_tool_financials = Tool(
                 name="Vector Query Engine Financials",
                 func=lambda query: query_engine_financials.query(query),  # Use query_engine to query the vector database
@@ -602,7 +602,7 @@ with strategies_container:
                 vector_query_tool_ESG,
             ]
 
-            if os.path.exists(file_path)
+            if os.path.exists(file_path):
                 tools.append(
                     Tool(
                     name="Financials QA System",