Update app.py

app.py

@@ -3,15 +3,25 @@ import gradio as gr
 import torch
 from transformers import pipeline
 
-# Set up the model
-model_id = "meta-llama/Llama-3.2-3B"
+model_id = "meta-llama/Llama-3.2-3B-Instruct"
 pipe = pipeline(
-    "text-generation", 
-    model=model_id, 
-    torch_dtype=torch.bfloat16, 
-    device_map="cuda"
+    "text-generation",
+    model=model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
 )
 
+
+messages = [
+    {"role": "system", "content": """
+        You are an insightful and empathetic journal assistant. Your goal is to help the user reflect on their daily experiences by offering thoughtful responses.
+        Encourage the user to think deeply about their day, acknowledge their feelings, suggest possible improvements, and reinforce positive achievements.
+        Your responses should feel warm, supportive, and introspective, promoting a balanced perspective and personal growth.
+        Use a conversational, reflective tone, and offer subtle suggestions or questions for further thought when appropriate.
+    """},
+    {"role": "user", "content": "Today, I learned a valuable lesson about time management and how it can improve productivity."},  # User's journal entry
+]
+
 @spaces.GPU
 def generate_text(prompt):
     response = pipe(prompt, max_length=100, num_return_sequences=1)