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import gradio as gr
from transformers import pipeline
model = pipeline("text2text-generation", model="asimokby/Turkish-GPT-GEC-v0")
def generate_text(prompt):
return model(prompt, max_length=500)[0]['generated_text']
# Description and title
description = """This application is a demo for our Turkish Grammar Error Correction model.
Please enter text in Turkish, and it will provide you with corrected output.
For more information, check out the paper: [Paper Link](https://arxiv.org/pdf/2405.15320)"""
title = "Turkish Grammar Assistant"
input_box = gr.Textbox(lines=20, label="Input Text") # Increase lines for input
output_box = gr.Textbox(lines=20, label="Output Text", interactive=True) # Increase lines for output
iface = gr.Interface(fn=generate_text, inputs=input_box, outputs=output_box, title="Turkish Grammar Assistant", description=description)
iface.launch()
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