Curative's picture
Create app.py
e56279f verified
raw
history blame
347 Bytes
import gradio as gr
from transformers import pipeline
summarizer = pipeline("summarization", model="Curative/t5-summarizer-cnn")
def summarize(text):
result = summarizer(text, max_length=150, min_length=40, do_sample=False)
return result[0]['summary_text']
demo = gr.Interface(fn=summarize, inputs="text", outputs="text")
demo.launch()