space-demo / app.py
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from transformers import pipeline
import gradio as gr
summarize = 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 = summarize(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 and hit enter"),
outputs="text"
)
iface.launch()