| import gradio as gr | |
| from transformers import pipeline | |
| sentiment = pipeline('sentiment-analysis') | |
| def get_sentiment(input_text): | |
| return sentiment (input_text) | |
| iface = gr.Interface(fn = get_sentiment, | |
| inputs = 'text', | |
| outputs = ['text'], | |
| title = 'Sentiment Analysis', | |
| examples = ['The movie was very bad', 'Every day is a new opportunity.'], | |
| article = 'This project is for software engineering with team members Aditya Jadhav, Sujal Kuthe, Sujal Wakalkar, and Adesh Ingle. We developed a web application for sentiment analysis that takes text data as input and classifies whether it is positive or negative.', | |
| thumbnail = '/content/sentiment-analysis.png', | |
| theme = gr.themes.Soft()) | |
| iface.launch() |