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| 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) |