Update app.py

app.py

@@ -9,14 +9,20 @@ from chainlit.input_widget import Select, Switch, Slider #importing chainlit set
 # You only need the api key inserted here if it's not in your .env file
 #openai.api_key = "YOUR_API_KEY"
 
+# ChatOpenAI Templates
 system_template = """
 You are a helpful assistant who always speaks in a pleasant tone!
 """
 
-
+user_template = """
+{input}
+Think through your response step by step.
+"""
 
 @cl.on_chat_start # marks a function that will be executed at the start of a user session
 async def start_chat():
+
+    # allows users to dynamically select their settings for generation
     settings = await cl.ChatSettings(
         [
             Select(
@@ -33,29 +39,57 @@ async def start_chat():
                 min=0,
                 max=2,
                 step=0.1,
+            ),
+            Slider(
+                id="Max Tokens",
+                label="OpenAI - Max Tokens",
+                initial=250,
+                min=100,
+                max=500,
+                step=10
             )
         ]
     ).send()
 
-@cl.on_settings_update
+    cl.user_session("settings", settings)
+
+@cl.on_settings_update # marks a function that "logs" settings update
 async def setup_agent(settings):
     print("on_settings_update", settings)
 
 @cl.on_message # marks a function that should be run each time the chatbot receives a message from a user
 async def main(message: str):
-    message_history = cl.user_session.get("message_history")
+    settings = cl.user_session.get("settings")
 
-    prompt = message + " Think through your response step by step."
-    
-    message_history.append({"role": "user", "content": message + " Think through your response step by step."})
+    prompt = Prompt(
+        provider=ChatOpenAI.id,
+        messages=[
+            PromptMessage(
+                role="system",
+                template=system_template,
+            ),
+            PromptMessage(
+                role="user",
+                template=user_template, 
+                formatted=template.format(input=message)
+            )
+        ],
+        settings = settings
+        inputs = {"input" : message}
+    )
 
-    msg = cl.Message(content="", prompt=prompt)
+    msg = cl.Message(content="")
 
+    # Call OpenAI
     async for stream_resp in await openai.ChatCompletion.acreate(
-        model=model_name, messages=message_history, stream=True, **settings
+        messages=[m.to_openai() for m in prompt.messages], stream=True, **settings
     ):
         token = stream_resp.choices[0]["delta"].get("content", "")
         await msg.stream_token(token)
 
-    message_history.append({"role": "assistant", "content": msg.content})
+    # Update the prompt object with the completion
+    prompt.completion = msg.content
+    msg.prompt = prompt
+
+    # Send and close the message stream
     await msg.send()