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