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| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline("sentiment-analysis", model="cardiffnlp/twitter-roberta-base-sentiment-latest") | |
| def get_sentiment(input_text): | |
| return pipe(input_text)[0]["label"] | |
| iface = gr.Interface(fn = get_sentiment, | |
| inputs = "text", | |
| outputs = 'text', | |
| title= 'Sentiment Analysis', | |
| description = 'Get Sentiment Negative/Positive/Neutral for the given input') | |
| iface.launch(enable_queue=True) |