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import gradio as gr | |
from gradio_client import Client | |
# Create a client to interact with your Space | |
client = Client("umutbozdag/humanizer_model") | |
def generate_text(input_text): | |
# Use the client to predict using your Space | |
result = client.predict( | |
input_text, # str in 'Input Text' Textbox component | |
api_name="/predict" | |
) | |
return result | |
iface = gr.Interface( | |
fn=generate_text, | |
inputs=gr.Textbox(lines=5, label="Input Text"), | |
outputs=gr.Textbox(label="Generated Text"), | |
title="Text Humanizer", | |
description="Enter text to generate a more human-like version." | |
) | |
iface.launch() |