sepidpy/summarisation-basic

1from transformers import pipeline2import gradio as gr3 4summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-small", truncation=True, framework="tf")5 6def translate(text):7    text = text.replace('"', '"')8    text = text.replace(''', "'")9    text = text.replace('&', "&")10    result = summarizer(text, min_length=180, truncation=True)11    return result[0]["summary_text"]12 13iface = gr.Interface(14    fn=translate,15    inputs=gr.inputs.Textbox(lines=10, placeholder="Enter text to summarize..."),16    outputs="text"17)18iface.launch()19