eskayML's picture
added main file
3c27d96
from transformers import pipeline
import gradio as gr
sentiment = pipeline("sentiment-analysis")
def sentiment_analysis(text):
results = sentiment(text)
return results[0]["label"], round(results[0]["score"], 5)
demo = gr.Interface(
fn = sentiment_analysis,
inputs=gr.Textbox(lines=2, placeholder="Here...", label= 'Enter Text to Classify here'),
outputs=[
gr.Textbox(label = 'status'),
gr.Textbox(label = 'score')
]
)
demo.launch()