import gradio as gr
from transformers import pipeline


summarizer = pipeline("summarization", model="knkarthick/bart-large-xsum-samsum")

def sentiment_analysis(text):
    result = summarizer(text)

    return result[0].get('summary_text')

    
demo = gr.Interface(fn=sentiment_analysis, 
                    inputs='text',
                    outputs='text',
                    examples=[['''Hannah: Hey, do you have Betty's number?
Amanda: Lemme check
Amanda: Sorry, can't find it.
Amanda: Ask Larry
Amanda: He called her last time we were at the park together
Hannah: I don't know him well
Amanda: Don't be shy, he's very nice
Hannah: If you say so..
Hannah: I'd rather you texted him
Amanda: Just text him 🙂
Hannah: Urgh.. Alright
Hannah: Bye
Amanda: Bye bye                                       
''']],
                    title = "摘要"
                    )


if __name__ == "__main__":
    demo.queue(concurrency_count=3)
    demo.launch(server_name = "0.0.0.0", server_port = 7028)