Update app.py

app.py

@@ -5,31 +5,30 @@ from nanochat.checkpoint_manager import load_model
 from nanochat.tokenizer import get_tokenizer
 
 MODEL_PATH = "model_000971.pt"
-META_PATH = "meta_000971.json"
+# META_PATH is not needed for the tokenizer call based on your error
 
 print("Waking up the toddler (NanoChat-ClimbMix-D12)...")
 
-# 1. Load the tokenizer and model first
-tokenizer = get_tokenizer(META_PATH)
+# 1. Load the tokenizer (no arguments needed!)
+tokenizer = get_tokenizer() 
+
+# 2. Load the model
 model, _ = load_model(MODEL_PATH, device="cpu") 
 
-# 2. Pass the objects to the Engine
+# 3. Pass the objects to the Engine
 engine = Engine(model=model, tokenizer=tokenizer)
 
 def chat_fn(message, history):
-    # Based on your engine.py, it expects a list of tokens or a string? 
-    # Usually, generate handles the string-to-token conversion.
+    # Your engine.py uses 'max_tokens' based on the previous grep
     response = engine.generate(message, max_tokens=300, temperature=0.85)
     return response
 
 with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
     gr.Markdown("# 🧸 NanoChat-ClimbMix-D12 – The Confident Toddler LLM")
-    gr.Markdown("Inspired by Andrej Karpathy's nanochat. Currently in 'Preschool Phase'!")
-    
     gr.ChatInterface(
         fn=chat_fn,
         title="Chat with the Toddler",
-        examples=["Why is the sky blue?", "Tell me a joke."],
+        examples=["Why is the sky blue?", "Explain UPI in one sentence."],
     )
 
 if __name__ == "__main__":