Upload app.py

app.py

@@ -1,23 +1,35 @@
 from transformers import pipeline
 import gradio as gr
 
+generator = pipeline("text-generation", 
+                     model= "Qwen/Qwen3-4B-Instruct-2507",
+                     dtype = "auto", 
+                     device_map="auto")
+
 def generate_text(prompt):
   messages = [
-        {"role": "system", "content": "Sen Türkçe cevap veren, yardımcı bir yapay zeka asistansın."},
-        {"role": "user", "content": prompt}]
+    {
+        "role": "system",
+        "content": "Sen Türkçe cevap veren, yardımcı bir yapay zeka asistansın."
+    },
+    {
+        "role": "user",
+        "content": prompt
+    }
+  ]
   outputs = generator(
-        messages,
-        max_new_tokens=200,
-        do_sample=True,
-        temperature=0.7,
-        return_full_text=False
-    )
+    messages,
+    max_new_tokens = 100,
+    do_sample = True,
+    temperature = 0.7,
+    return_full_text=False
+  )
   return outputs[0]["generated_text"]
 
 demo = gr.Interface(
     fn=generate_text,
     inputs=gr.Textbox(label="Give an input"),
-    outputs=gr.Textbox(label="Output", lines=10),
-    title="Text Generation",)
-
+    outputs = gr.Textbox(label="Output", lines=10),
+    title = "Text Generation"
+)
 demo.launch()