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from transformers import pipeline | |
import gradio as gr | |
summarizer = pipeline('summarization', model='t5-base', tokenizer='t5-small', truncation=True, framework='tf') | |
def translate(text): | |
text = text.replace('"', '"') | |
text = text.replace('&apos', "'") | |
text = text.replace('&', '&') | |
result = summarizer(text, min_length=180, truncation=True) | |
return result[0]['summary_text'] | |
iface = gr.Interface( | |
fn=translate, | |
inputs=gr.inputs.Textbox(lines=10, placeholder='Enter text to summarize...'), | |
outputs='text' | |
) | |
iface.launch() | |