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import gradio as gr
from transformers import pipeline
# Replace 'bert-base-uncased' with the name of the model you want to use
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 ='darkpeach')
iface.launch(inline=False) |