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app.py

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+from transformers import pipeline
+import gradio as gradio
+
+genterator = pipeline("text-generation", model="Qwen/Qwen3-4B-Base")
+
+def generate_text(prompt):
+  output = generator(prompt, max_new_tokens=50, do_sample=True, temperature=0.7)
+  return output[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",)

requirements.txt

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+transformers
+torch
+gradio