import gradio as gr
from transformers import pipeline
import torch

torch.set_default_dtype(torch.float32)

summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
print("Model Loaded")

def summarize(text):
    return (summarizer(text, max_length=300, min_length=200, do_sample=False, num_workers=4))

iface = gr.Interface(fn=summarize, inputs="text", outputs="text")
iface.launch(debug=True)