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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, | |
| inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize..."), | |
| outputs="text" | |
| ) | |
| iface.launch() |