update init

app.py

@@ -1,17 +1,17 @@
 import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer, AutoModelForSeq2SeqLM
 
+model_name = "Qwen/Qwen3-8B"
 
-def greet(input):
+# load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
 
-    model_name = "Qwen/Qwen3-8B"
+# tokenizer.save_pretrained("./qwen3")
+# model.save_pretrained("./qwen3")
 
-    # load the tokenizer and the model
-    tokenizer = AutoTokenizer.from_pretrained(model_name)
-    model = AutoModelForCausalLM.from_pretrained(model_name)
 
-    tokenizer.save_pretrained("./qwen3")
-    model.save_pretrained("./qwen3")
+def greet(input):
 
     # prepare the model input
     prompt = "Give me a short introduction to large language model."
@@ -46,5 +46,6 @@ def greet(input):
 
     return "thinking content:" + thinking_content + "\n" + "content:" + content
 
+
 demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()