nehalelkaref's picture
Update app.py
d30a365
raw
history blame
398 Bytes
import gradio as gr
from network import SpanNet
from huggingface_hub import Repository
def greet(name):
return "Hello " + name + "!!"
# args= dict({'transformer_model_name':'nehalelkaref/plain_span',
# 'device':'cuda'})
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
model = SpanNet(transformer_model_name= 'nehalelkaref/plain_span',device='cuda')
# iface.launch()