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| import gradio as gr | |
| from transformers import pipeline | |
| sentiment = pipeline("sentiment-analysis") | |
| def get_sentiment(input_text): | |
| return sentiment(input_text) | |
| result = get_sentiment("This airline give best services") | |
| iface= gr.Interface(fn= get_sentiment, | |
| inputs= "text", | |
| outputs= ["text"], | |
| examples= ["This airline give best services"], | |
| theme= "grass", | |
| title= "Sentiment Analysis", | |
| description= "predicting whether the text were positive or negative" | |
| ) | |
| iface.launch(inline= False) |