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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) | |
if __name__ == "__main__": | |
iface = gr.Interface( | |
fn = get_sentiment, | |
inputs = "text", | |
outputs = ['text'], | |
title = 'Sentiment Analysis', | |
description = 'Determine how negative or positive a given sentiment is. Input a sentence or two and see what the model "thinks."', | |
btn = gr.Button("Run"), | |
css="app.css", | |
examples=[ | |
["better than nothing, I guess... I guess you get what you pay for :("], | |
["This is better than nothing. You get what you pay for!"], | |
["the price reasonable"], | |
["Is this price considered reasonable?"], | |
["This is better than a kick in the face. Guess you can't look a gift horse in the mouth."], | |
["They seem to have a bias as all the people working at the reception look exactly the same."], | |
["All the people working at the reception look exactly the same!"], | |
["this was expected, clean towels and room cleaned every day"], | |
["The top of the window was covered by a dirty blind. It was pretty gross."], | |
["The helpful staff were consistently cheap and comfortable."] | |
] | |
) | |
iface.launch(inline = False) |