Spaces:
Sleeping
Sleeping
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') | |
iface.launch(inline=False) |