app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline

tokenizer = AutoTokenizer.from_pretrained("human-centered-summarization/financial-summarization-pegasus")

model = AutoModelForSeq2SeqLM.from_pretrained("human-centered-summarization/financial-summarization-pegasus")
pipe = pipeline(task="summarization", 
                model=model,
                tokenizer=tokenizer,)


gr.Interface.from_pipeline(pipe, 
                    title="financial text2text",
                    description="Add description",
                    examples=['text1.txt']
                    ).launch()