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| import gradio as gr | |
| from transformers import pipeline | |
| 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.Textbox(lines=10, placeholder= "Enter a text to summurize ..."), | |
| outputs= "text") | |
| iface.launch() | |