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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_length=180,truncation=True) | |
return result[0]["summary_text"] | |
iface = gr.Interface( | |
fn=translate, | |
inpute=gr.inputs.Textbox(lines=10,placeholder="Enter text to summarize..."), | |
outputs="text" | |
) | |
iface.launch() |