shivanshu292001's picture
Update app.py
ea83a3c
import gradio as gr
from transformers import pipeline
def blog_gen(txt):
generator=pipeline(task='text-generation',model='shivanshu292001/GeneratorModel')
gen_blog=generator(txt,max_length=2000)
remove_gen_text = list(map(lambda x: x["generated_text"], gen_blog))
clean_text = list(map(lambda x: x.replace("\n\n", " "), remove_gen_text))
return clean_text
iface = gr.Interface(fn=blog_gen,
inputs=[
gr.inputs.Textbox(
lines=2, placeholder=None, label='Sentence'),
],
outputs=[gr.outputs.JSON(label=None)],
css="footer {visibility: hidden}")
iface.launch()