Update app.py

app.py

@@ -2,9 +2,7 @@ import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 
-# Load base model
 base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct")
-# Load LoRA adapters
 model = PeftModel.from_pretrained(base_model, "ewernn/perfect-refusal-model")
 tokenizer = AutoTokenizer.from_pretrained("ewernn/perfect-refusal-model")
 
@@ -15,26 +13,4 @@ def chat(message, history):
   response = tokenizer.decode(outputs[0], skip_special_tokens=True).split("model\n")[-1]
   return response.replace("<end_of_turn>", "").strip()
 
-# Minimal theme
-theme = gr.themes.Soft(
-  primary_hue="slate",
-  font=["system-ui", "sans-serif"]
-).set(
-  body_background_fill="*neutral_50",
-  body_background_fill_dark="*neutral_900",
-)
-
-# Ultra-minimal interface
-demo = gr.ChatInterface(
-  fn=chat,
-  type="messages",
-  theme=theme,
-  fill_height=False,
-  show_share_button=False,
-  submit_btn="→",
-  retry_btn=None,
-  undo_btn=None,
-  clear_btn=None,
-)
-
-demo.launch()
+gr.ChatInterface(chat).launch()