app.py

import torch
from transformers import pipeline
import gradio as gr
from transformers import Speech2TextProcessor, Speech2TextForConditionalGeneration
from gradio.mix import Parallel, Series


desc = "Summarize your text! (audio transcription available soon)"


qa_model = 'huggingface/SamuelMiller/qa_squad'
my_model = 'huggingface/SamuelMiller/lil_sumsum'
better_model = 'huggingface/google/pegasus-large'

def summarize(text):
  summ = gr.Interface.load(qa_model)      
  summary = summ(text)
  return summary
iface = gr.Interface(fn=summarize,
                 theme='huggingface', 
                 title= 'sum_it', 
                 description= desc,
                 inputs= "text",
                 outputs= 'textbox')
iface.launch(inline = False)