| #Libraries | |
| import gradio as gr | |
| from transformers import pipeline | |
| #The Model | |
| sentiment= pipeline(task="text-classification", model="lxyuan/distilbert-base-multilingual-cased-sentiments-student",return_all_scores=True) | |
| #The function | |
| def get_sentiment(input_text): | |
| return sentiment(input_text) | |
| #The interface | |
| iface=gr.Interface(fn=get_sentiment, | |
| inputs="text", | |
| outputs=['text'], | |
| title='Sentiment Analysis', | |
| description="Get Sentiment Positive/Negative for the given input") | |
| iface.launch() |