nadzo's picture
Create app.py
d0d90ca verified
raw
history blame
302 Bytes
import gradio as gr
from transformers import pipeline
sentiment_pipeline = pipeline("sentiment-analysis")
def analyze(text):
result = sentiment_pipeline(text)[0]
return f"Label: {result['label']}, Score: {result['score']:.2f}"
gr.Interface(fn=analyze, inputs="text", outputs="text").launch()