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import gradio as gr | |
import torch | |
from transformers import pipeline | |
summarizer = pipeline("summarization", "jordiclive/flan-t5-3b-summarizer", torch_dtype=torch.bfloat16) | |
raw_document = 'You must be 18 years old to live or work in New York State...' | |
prompt = "Produce an article summary of the following news article:" | |
def summarize(input): | |
output = summarizer( | |
f"{prompt} {input}", | |
num_beams=5, | |
min_length=5, | |
no_repeat_ngram_size=3, | |
truncation=True, | |
max_length=512, | |
) | |
return output | |
demo = gr.Interface(fn=summarize, inputs="text", outputs="text", title="Text Summarization", description="flat-t5-3b-summarization") | |
demo.launch() | |