Add chat history

app.py

@@ -8,7 +8,8 @@ from chainlit.prompt import Prompt, PromptMessage  # importing prompt tools
 from chainlit.playground.providers import ChatOpenAI  # importing ChatOpenAI tools
 from dotenv import load_dotenv
 
-load_dotenv()
+load_dotenv(override=True)
+print("OPENAI_API_KEY:", os.getenv("OPENAI_API_KEY"))
 
 # ChatOpenAI Templates
 system_template = """You are a helpful assistant who always speaks in a pleasant tone!
@@ -30,17 +31,25 @@ async def start_chat():
         "presence_penalty": 0,
     }
 
+    # Initialize conversation history in the user session
+    conversation_history = [{"role": "system", "content": system_template}]
     cl.user_session.set("settings", settings)
+    cl.user_session.set("conversation_history", conversation_history)
 
 
 @cl.on_message  # marks a function that should be run each time the chatbot receives a message from a user
 async def main(message: cl.Message):
     settings = cl.user_session.get("settings")
+    conversation_history = cl.user_session.get("conversation_history")
 
     client = AsyncOpenAI()
 
+    # Append user input to the conversation history
+    conversation_history.append({"role": "user", "content": message.content})
+
     print(message.content)
 
+    # Prepare Chainlit prompt for visualization/debugging (optional)
     prompt = Prompt(
         provider=ChatOpenAI.id,
         messages=[
@@ -63,15 +72,22 @@ async def main(message: cl.Message):
 
     msg = cl.Message(content="")
 
-    # Call OpenAI
+    # Call OpenAI with conversation history
     async for stream_resp in await client.chat.completions.create(
-        messages=[m.to_openai() for m in prompt.messages], stream=True, **settings
+        messages=conversation_history, stream=True, **settings
     ):
         token = stream_resp.choices[0].delta.content
         if not token:
             token = ""
         await msg.stream_token(token)
 
+    # Update the assistant's reply in the conversation history
+    assistant_reply = msg.content
+    conversation_history.append({"role": "assistant", "content": assistant_reply})
+
+    # Save updated conversation history back to the user session
+    cl.user_session.set("conversation_history", conversation_history)
+    
     # Update the prompt object with the completion
     prompt.completion = msg.content
     msg.prompt = prompt