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| from transformers import pipeline | |
| import gradio as gr | |
| summarize = 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 = summarize(text, min_length=180, truncation=True) | |
| return result[0]["summary_text"] | |
| iface = gr.Interface( | |
| fn=translate, | |
| inputs=gr.inputs.Textbox(lines=10, placeholder="Enter text to summarize and hit enter"), | |
| outputs="text" | |
| ) | |
| iface.launch() | |