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app.py

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+# -*- coding: utf-8 -*-
+"""huggingface.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/149y_UsrqsIDR7_OwRgNnRfs-KkGhFvtx
+"""
+
+from transformers import pipeline
+
+generator = pipeline("text-generation",
+                     model= "Qwen/Qwen3-4B-Instruct-2507",
+                     torch_dtype="auto",
+                     device_map="auto")
+
+output = generator("Hi how are you?")
+print(output[0]["generated_text"])
+
+messages = [
+	{"role": "system", "content": "You are a helpful AI assistant."},
+    {"role": "user", "content": "Tell me a short joke"}]
+
+outputs = generator(
+        messages,
+        max_new_tokens=100,
+        do_sample=True,
+        temperature=0.7,
+        return_full_text=False
+)
+
+print(outputs[0]["generated_text"])
+
+messages = [
+    {
+        "role": "system",
+        "content": "Sen Türkçe cevap veren, yardımcı bir yapay zeka asistansın."
+    },
+    {
+        "role": "user",
+        "content": "Üretken yapay zeka nedir kısaca cevap ver"
+    }
+]
+
+outputs = generator(
+        messages,
+        max_new_tokens=100,
+        do_sample=True,
+        temperature=0.7,
+        return_full_text=False
+)
+print(outputs[0]["generated_text"])
+
+import gradio as gr
+
+def generate_text(prompt):
+  messages = [
+        {"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
+    )
+  return outputs[0]["generated_text"]
+
+demo = gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(label="Give an input"),
+    outputs=gr.Textbox(label="Output"),
+    title="Text Generation",)
+demo.launch()
+