twitter-xlm-roberta-base-sentiment/app.py

import gradio as gr
from transformers import pipeline

from gradio.themes.utils import sizes

theme = gr.themes.Default(radius_size=sizes.radius_none).set(
    block_label_text_color = '#4D63FF',
    block_title_text_color = '#4D63FF',
    button_primary_text_color = '#4D63FF',
    button_primary_background_fill='#FFFFFF',
    button_primary_border_color='#4D63FF',
    button_primary_background_fill_hover='#EDEFFF',
)


model_path = "cardiffnlp/twitter-xlm-roberta-base-sentiment"
sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path)

def sentiment_analysis(text):
    results = sentiment_task(text)

    return results 
    
demo = gr.Interface(fn=sentiment_analysis, 
                    inputs='text', 
                    outputs='text',
		    css = "footer {visibility: hidden}", 
		    allow_flagging = "never",
                    theme=theme
                    )


if __name__ == "__main__":
    demo.queue(concurrency_count=10)
    demo.launch(server_name = "0.0.0.0")