update app.py with o1-mini

app.py

@@ -1,54 +1,65 @@
-# You can find this code for Chainlit python streaming here (https://docs.chainlit.io/concepts/streaming/python)
-
-# OpenAI Chat completion
 import os
-from openai import AsyncOpenAI  # importing openai for API usage
-import chainlit as cl  # importing chainlit for our app
-from chainlit.prompt import Prompt, PromptMessage  # importing prompt tools
-from chainlit.playground.providers import ChatOpenAI  # importing ChatOpenAI tools
+from openai import AsyncOpenAI
+import chainlit as cl
+from chainlit.prompt import Prompt, PromptMessage
+from chainlit.playground.providers import ChatOpenAI
 from dotenv import load_dotenv
 
 load_dotenv()
 
-# 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.
+# Combined template for o1-mini
+user_template = """You are an empathetic and insightful vibe check assistant. Your role is to:
+1. Help users reflect on their current emotional state
+2. Provide supportive and constructive feedback
+3. Suggest practical ways to maintain or improve their vibe
+4. Keep responses balanced between professional and friendly
+5. Always maintain a supportive and non-judgmental tone
+
+Frame your responses in these sections:
+- Current Vibe Analysis
+- Key Observations
+- Supportive Suggestions
+- Positive Reinforcement
+
+User message: {input}
+
+Please consider:
+- The emotional undertones in the response
+- Any patterns in behavior or thinking
+- Potential areas for positive growth
+- Immediate actionable steps
+
+Think through your response step by step and structure it clearly.
 """
 
-
-@cl.on_chat_start  # marks a function that will be executed at the start of a user session
+@cl.on_chat_start
 async def start_chat():
+    # Welcome message with vibe check introduction
+    await cl.Message(
+        content="👋 Welcome to your Vibe Check! I'm here to help you reflect on your current state "
+        "and provide supportive insights. Feel free to share how you're feeling or respond to any "
+        "of these questions:\n\n"
+        "1. How would you describe your energy level right now?\n"
+        "2. What's the strongest emotion you're experiencing?\n"
+        "3. What's one thing that's influencing your mood today?\n"
+        "4. How connected do you feel to your goals right now?\n"
+        "5. What's one small thing you could do to improve your vibe?\n"
+    ).send()
+
     settings = {
-        "model": "gpt-3.5-turbo",
-        "temperature": 0,
-        "max_tokens": 500,
-        "top_p": 1,
-        "frequency_penalty": 0,
-        "presence_penalty": 0,
+        "model": "o1-mini",  # Only including the model parameter
     }
 
     cl.user_session.set("settings", settings)
 
-
-@cl.on_message  # marks a function that should be run each time the chatbot receives a message from a user
+@cl.on_message
 async def main(message: cl.Message):
     settings = cl.user_session.get("settings")
-
     client = AsyncOpenAI()
 
-    print(message.content)
-
     prompt = Prompt(
         provider=ChatOpenAI.id,
         messages=[
-            PromptMessage(
-                role="system",
-                template=system_template,
-                formatted=system_template,
-            ),
             PromptMessage(
                 role="user",
                 template=user_template,
@@ -59,22 +70,27 @@ async def main(message: cl.Message):
         settings=settings,
     )
 
-    print([m.to_openai() for m in prompt.messages])
-
     msg = cl.Message(content="")
 
-    # Call OpenAI
     async for stream_resp in await client.chat.completions.create(
-        messages=[m.to_openai() for m in prompt.messages], stream=True, **settings
+        messages=[m.to_openai() for m in prompt.messages], 
+        stream=True, 
+        **settings
     ):
         token = stream_resp.choices[0].delta.content
-        if not token:
-            token = ""
-        await msg.stream_token(token)
+        if token is not None:
+            await msg.stream_token(token)
 
     # Update the prompt object with the completion
     prompt.completion = msg.content
     msg.prompt = prompt
 
-    # Send and close the message stream
+    # Add supportive emoji based on content
+    if any(word in msg.content.lower() for word in ['good', 'great', 'excellent', 'positive']):
+        await msg.stream_token(" ✨")
+    elif any(word in msg.content.lower() for word in ['challenging', 'difficult', 'hard']):
+        await msg.stream_token(" 💪")
+    else:
+        await msg.stream_token(" 🌟")
+
     await msg.send()