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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(''', "'") | |
text = text.replace('&', "&") | |
result =summarizer(text, min_lenght=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() | |