app.py

from transformers import pipeline
import gradio as gr

generator = pipeline("text-generation", model="Qwen/Qwen3-4B-Base")

def generate_text(prompt):
  outputs = generator(prompt, max_new_tokens=70, do_sample= True, temperature = 0.7)
  return outputs[0]["generated_text"]
  
demo = gr.Interface(
	fn=generate_text, 
	inputs=gr.Textbox(label= "Bir metin girin"), 
	outputs=gr.Textbox(label="Üretilen metin"), 
	title="Metin üretici",
)

demo.launch(share=True)