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import gradio as gr
# def greet(name):
# return "Hello " + name + "!!"
# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()
from transformers import pipeline
nlp = pipeline("sentiment-analysis")
summurizer = pipeline( "summarization",
model="t5-base",
tokenizer = "t5-small",
truncuation = True,
framework ="tf" )
def translate(text):
text = text.replace('"', '"')
text = text.replace('&apos', "'")
text = text.replace('&', '&')
result = summurizer(text, min_length= 180, truncuation=True)
return result[0]["summary_text"]
iface = gr.Interface( fn=translate,
inputs= gr.inputs.Textbox(lines=10, placeholder= "Enter a text to summurize ..."),
outputs= "text")
iface.launch()
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