import gradio as gr
from transformers import pipeline

def correct_text(text, temperature=1.0, top_p=0.9, top_k=50):
    model_id = "grammarly/coedit-large"
    pipe = pipeline("text2text-generation", model=model_id, 
                    generation_kwargs={"temperature": temperature, "top_p": top_p, "top_k": top_k})
    corrected = pipe(text)[0]['generated_text']
    return corrected

interface = gr.Interface(fn=correct_text,
                         inputs=[gr.inputs.TextArea(label="Input Text"),
                                 gr.inputs.Slider(minimum=0.1, maximum=1.0, default=1.0, label="Temperature"),
                                 gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.9, label="Top_p"),
                                 gr.inputs.Slider(minimum=0, maximum=100, default=50, label="Top_k")],
                         outputs="text")
interface.launch()