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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()
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