File size: 308 Bytes
4691155 8cae152 672f3fc 4691155 |
1 2 3 4 5 6 7 8 9 10 11 12 13 |
import gradio as gr
from transformers import pipeline
pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment")
def analyze(text):
result = pipe(text)
return result
demo = gr.Interface(fn=analyze, inputs='text', outputs='text')
demo.launch()
|