Kaludi commited on
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bbd2303
1 Parent(s): 68776c1

Update app.py

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  1. app.py +1 -0
app.py CHANGED
@@ -43,6 +43,7 @@ app = gr.Interface(fn = sentiment_analysis,
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  outputs = "label",
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  title = "Sentiment Analysis of Customer Reviews",
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  description = "A tool that analyzes the overall sentiment of customer reviews for a specific product or service, whether it's positive or negative. This analysis is performed by using natural language processing algorithms and machine learning from the model 'Reviews-Sentiment-Analysis' trained by Kaludi, allowing businesses to gain valuable insights into customer satisfaction and improve their products and services accordingly.",
 
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  interpretation = "default",
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  examples = [["I was extremely disappointed with this product. The quality was terrible and it broke after only a few days of use. Customer service was unhelpful and unresponsive. I would not recommend this product to anyone."],[ "I am so impressed with this product! The quality is outstanding and it has exceeded all of my expectations. The customer service team was also incredibly helpful and responsive to any questions I had. I highly recommend this product to anyone in need of a top-notch, reliable solution."],["I don't feel like you trust me to do my job."],["This service was honestly one of the best I've experienced, I'll definitely come back!"]]
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  )
 
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  outputs = "label",
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  title = "Sentiment Analysis of Customer Reviews",
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  description = "A tool that analyzes the overall sentiment of customer reviews for a specific product or service, whether it's positive or negative. This analysis is performed by using natural language processing algorithms and machine learning from the model 'Reviews-Sentiment-Analysis' trained by Kaludi, allowing businesses to gain valuable insights into customer satisfaction and improve their products and services accordingly.",
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+ article = "<p style='text-align: center'><a href='https://github.com/Kaludii'>Github</a> | <a href='https://huggingface.co/Kaludi'>HuggingFace</a></p>",
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  interpretation = "default",
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  examples = [["I was extremely disappointed with this product. The quality was terrible and it broke after only a few days of use. Customer service was unhelpful and unresponsive. I would not recommend this product to anyone."],[ "I am so impressed with this product! The quality is outstanding and it has exceeded all of my expectations. The customer service team was also incredibly helpful and responsive to any questions I had. I highly recommend this product to anyone in need of a top-notch, reliable solution."],["I don't feel like you trust me to do my job."],["This service was honestly one of the best I've experienced, I'll definitely come back!"]]
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  )