File size: 364 Bytes
e7dce81 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
import gradio
from transformers import pipeline
pipe = pipeline("text-classification", model="rifkat/uz_kr_lang-detection")
def my_inference_function(text):
return pipe(text)
gradio_interface = gradio.Interface(
fn=my_inference_function,
inputs="text",
outputs="text",
title="REST API with Gradio and Huggingface Spaces",
)
gradio_interface.launch()
|