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from transformers import pipeline | |
import gradio as gr | |
import os | |
hf_token = os.getenvs("HF_TOKEN") | |
model_repository_name = "Kosuke-Yamada/t5_ad_generation2" | |
ad_pipeline = pipeline("text2text-generation", model_repository_name, token=hf_token, no_repeat_ngram_size=1) | |
def main(text): | |
return ad_pipeline(text)[0]["generated_text"] | |
with gr.Blocks() as demo: | |
with gr.Column(): | |
gr.Markdown("# εΊεηζγγ’") | |
with gr.Row(): | |
with gr.Column(): | |
input_text = gr.components.Textbox(lines=1, label="γγΌγ―γΌγγη©Ίη½εΊεγγ§ε ₯εγγ¦οΌ") | |
submit_button = gr.Button("Submit") | |
with gr.Column(): | |
output_text = gr.components.Textbox(lines=1, label="ηζεΊε") | |
submit_button.click(main, inputs=[input_text], outputs=[output_text]) | |
demo.launch() |