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#python3 | |
#build a text summarizer using hugging face and gradio | |
import gradio as gr | |
import pandas as pd | |
import numpy as np | |
from transformers import pipeline | |
def summarize(text): | |
summarizer = pipeline("summarization") | |
return summarizer(text, max_length=512)[0]['summary_text'] | |
iface = gr.Interface(summarize, "textbox", "label") | |
if __name__ == "__main__": | |
iface.launch() |