| from transformers import pipeline | |
| import gradio as gr | |
| summarizer = pipeline("summarization",model="t5-base",tokenizer="t5-smaller",truncation=True,framework="tf") | |
| def translate(text): | |
| text = text.replace(""",'"').replace("'","'").replace("&","&") | |
| result = summarizer(text,min_length=180,truncation=True) | |
| return result[0]["summary_text"] | |
| iface = gr.Interface(fn=translate, | |
| input = gr.inputs.Textbox(lines=10,placeholder="Enter text to summarize..."), | |
| outputs="text") | |
| iface.launch() |