Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from langchain.prompts import ChatPromptTemplate
 from langchain_huggingface import HuggingFaceEndpoint
-from langchain.schema import HumanMessage, SystemMessage
+from langchain.schema import HumanMessage, SystemMessage, AIMessage
 import os
 import time
 import logging
@@ -118,12 +118,31 @@ def respond_with_enhanced_streaming(message, history):
     """Streams the bot's response, detecting the subject and handling errors."""
     try:
         template, mode = detect_subject(message)
-        chain = template | llm
+        
+        # Build conversation history with proper LangChain message objects
+        messages = []
+        
+        # Add system message
+        system_msg = SystemMessage(content="You are EduBot, an expert AI learning assistant. Provide comprehensive, educational responses that help students truly understand concepts.")
+        messages.append(system_msg)
+        
+        # Add conversation history if available
+        if history:
+            for exchange in history[-5:]:  # Keep last 5 exchanges for context
+                if exchange.get("role") == "user":
+                    messages.append(HumanMessage(content=exchange["content"]))
+                elif exchange.get("role") == "assistant":
+                    messages.append(AIMessage(content=exchange["content"]))
+        
+        # Add current user message
+        messages.append(HumanMessage(content=message))
         
         yield f"*{mode}*\n\nGenerating response..."
         
         logger.info(f"Processing {mode} query: {message[:50]}...")
         
+        # Use the chain with proper message history
+        chain = template | llm
         response = chain.invoke({
             "question": message,
             "system_message": "You are EduBot, an expert AI learning assistant. Provide comprehensive, educational responses that help students truly understand concepts."