app.py

# For this demo we're using Gradio, Hugging Face Spaces, Pytorch and Hugging Face Transformers
import gradio as gr
from gradio.mix import Parallel, Series

# Summarizes Meeting Transcripts using Google Research's PEGASUS library 
summarizer = gr.Interface.load("huggingface/google/pegasus-cnn_dailymail")
output_text = gr.outputs.Textbox()

# Displays the end results to a webpage (i.e. here HuggingFace Spaces)

Series(summarizer, inputs = gr.inputs.Textbox(lines=10, label="Meeting Transcript")).launch()