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import os
import io
#from IPython.display import Image, display, HTML
from PIL import Image
import base64
#from dotenv import load_dotenv, find_dotenv
#_ = load_dotenv(find_dotenv()) # read local .env file
#hf_api_key = os.environ['HF_API_KEY']
# Helper function
import requests, json
from transformers import pipeline
get_completion = pipeline("summarization", model="shleifer/distilbart-cnn-12-6")
import gradio as gr
def summarize(input):
output = get_completion(input)
return output[0]['summary_text']
gr.close_all()
demo = gr.Interface(fn=summarize,
inputs=[gr.Textbox(label="Text to summarize", lines=6)],
outputs=[gr.Textbox(label="Result", lines=3)],
title="Text summarization with distilbart-cnn",
description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!"
)
demo.launch(share=True, server_port=int(os.environ['PORT2'])) |