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493 Bytes
| import gradio as gr | |
| from transformers import pipeline | |
| sentiment = pipeline("sentiment-analysis") | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| def get_sentiment(input_text): | |
| return sentiment(input_text) | |
| iface = gr.Interface(fn = get_sentiment, | |
| inputs = "text", | |
| outputs = ['text'], | |
| title= 'Sentiment Analysis', | |
| description = 'Get Sentiment Negative/Positive for the given input') | |
| iface.launch() |