File size: 299 Bytes
a4141e2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
import gradio as gr
from transformers import pipeline
pipe = pipeline("sentiment", model="enio/Sentiment_BERT")
def predict(text):
return pipe(text)[0]["sentiment_text"]
iface = gr.Interface(
fn=predict,
inputs='text',
outputs='text',
examples=[["This is Awesome!"]]
)
iface.launch() |