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Update app.py

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  1. app.py +0 -7
app.py CHANGED
@@ -106,13 +106,6 @@ Welcome to our Text Emotion Detector, also known as The Mood Meter! 🎭 This ni
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  Our Mood Meter uses top-notch text analysis wizardry to understand the feels behind your words. We've trained it on mountains of text data and equipped it with cutting-edge algorithms to accurately predict whether your text is partying in positivity, chilling in neutrality, or burning with negativity. 🔥
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- ## Usage: Let's Play the Sentiment Game! 🎮🎉
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- 1. Type your text into the "Mood-o-Matic" text box. Bonus points for creativity! Remember, the weirder, the better! 🤪
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- 2. Summon the Mood Genie by clicking the "Submit" button. Watch out for the magical sparkles! ✨✨
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- 3. Hold onto your hats (or tiaras) as the Mood-o-Matic works its mojo and reveals the sentiment verdict. Will it be sunshine and rainbows, or thunderclouds and lightning bolts? ⚡☀️
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- 4. React accordingly: If it's positive, do a happy dance worthy of a TikTok trend. If it's neutral, give a nonchalant nod like a cool cat. And if it's negative, let out a dramatic gasp that could rival a soap opera cliffhanger. Let's embrace the theatrics of sentiment analysis! 🎭
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  Now, who said sentiment analysis couldn't be the highlight of your day? Let's turn those words into a mood-boosting adventure! 🚀""").value
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  text_article = gr.Markdown(
 
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  Our Mood Meter uses top-notch text analysis wizardry to understand the feels behind your words. We've trained it on mountains of text data and equipped it with cutting-edge algorithms to accurately predict whether your text is partying in positivity, chilling in neutrality, or burning with negativity. 🔥
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  Now, who said sentiment analysis couldn't be the highlight of your day? Let's turn those words into a mood-boosting adventure! 🚀""").value
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  text_article = gr.Markdown(