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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) |