| from transformers import pipeline | |
| import gradio as gr | |
| summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-small", truncation=True) | |
| def traslate(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=traslate, | |
| inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize here please..."), | |
| outputs=gr.Textbox() | |
| ) | |
| iface.launch() |