import gradio as gr from transformers import pipeline sentiment = pipeline("sentiment-analysis", model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis") def get_sentiment(input_text): result=sentiment(input_text) if result[0]['label']=="positive": face = "\U0001f642" elif result[0]['label']=="negative": face = "\U0001f641" else: face = "\U0001f610" return (result,face) iface = gr.Interface(fn=get_sentiment, inputs="text", outputs=['text','text'], title='Financial Sentiment Analysis', examples = [["With the launch of Apple Silicon, Apple shares are same"], ["With the launch of Apple Silicon, Apple shares have increased"], ["With the launch of Apple Silicon, Apple shares have decreased"]], theme ='HaleyCH/HaleyCH_Theme') iface.launch(inline=False)