Update app.py

app.py

@@ -1,6 +1,8 @@
 # app.py
 # Multi-Agent Chatbot with LangGraph, DeepSeek-R1, Function Calls, and Agentic RAG
 # Using local (in-memory) Chroma to avoid tenant errors.
+#
+# Ensure that the environment variables OPENAI_API_KEY and DEEP_SEEK_API are set in your HF Space Secrets.
 
 import os
 import re
@@ -45,7 +47,7 @@ development_texts = [
 # --- Chroma Client Settings (in-memory) ---
 client_settings = Settings(
     chroma_api_impl="local",
-    persist_directory=None  # Use None for ephemeral in-memory DB; or specify a folder path to persist data.
+    persist_directory=None  # Use None for ephemeral in-memory DB; or specify a folder to persist data.
 )
 
 # --- Preprocessing & Embeddings ---
@@ -89,7 +91,7 @@ development_tool = create_retriever_tool(
 tools = [research_tool, development_tool]
 
 # --- Agent and Workflow Functions ---
-# Note: Using only AIMessage and HumanMessage for message types.
+# Use only AIMessage and HumanMessage for message types.
 class AgentState(TypedDict):
     messages: Annotated[Sequence[AIMessage | HumanMessage], add_messages]
 
@@ -300,7 +302,7 @@ def main():
                 with st.spinner("Processing your question..."):
                     events = process_question(query, app_workflow, {"configurable": {"thread_id": "1"}})
                     for event in events:
-                        # Step logs
+                        # Display processing steps
                         if 'agent' in event:
                             with st.expander("🔄 Processing Step", expanded=True):
                                 content = event['agent']['messages'][0].content