File size: 485 Bytes
26e8da1 dcd0602 26e8da1 6c5cbaa 26e8da1 |
1 2 3 4 5 6 7 8 9 |
# 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/t5-base")
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()
|