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from transformers import pipeline
import gradio as gr
model_repository_name = "Kosuke-Yamada/t5_ad_generation"
ad_pipeline = pipeline("text2text-generation", model_repository_name, no_repeat_ngram_size=1)
def main(text):
return ad_pipeline(text)[0]["generated_text"]
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
gr.Markdown("# εΊεηζγγ’")
input_text = gr.components.Textbox(lines=1, label="γγΌγ―γΌγγη©Ίη½εΊεγγ§ε
₯εγγ¦οΌ")
submit_button = gr.Button("Submit")
output_text = gr.components.Textbox(lines=1, label="ηζεΊε")
submit_button.click(main, inputs=[input_text], outputs=[output_text])
demo.launch() |