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Update app.py

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  1. app.py +9 -6
app.py CHANGED
@@ -33,19 +33,22 @@ description = gr.Markdown(
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  Our emotion detector will take one look at their face and reveal what they might have felt
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  when the picture was taken.
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- **Pro Tip**: For best results, make sure only their face is in the picture.
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- It's like reading their mind, but with pixels! πŸ˜„
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-
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  And hey, if you're feeling a bit down, this app is sure to turn that frown upside down!""").value
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  article = gr.Markdown(
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- """**DISCLAIMER:** This app isn't powered by actual mind-reading technology!
 
 
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  So, take the results with a grain of salt, or better yet, a pinch of laughter!
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- **FUN FACT:** Our facial emotion detector was trained on a bunch of wacky pictures
 
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  from the FER2013 dataset. It's not perfect, but it'll give you a good chuckle!
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- **DATA JOKES:** Did you know the FER2013 dataset consists of 48x48 pixel grayscale images of faces?
 
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  We're talking emotions captured in a tiny pixel universe!
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  It's like trying to decipher emotions from a microcosm of hilarity! 🧐
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  """).value
 
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  Our emotion detector will take one look at their face and reveal what they might have felt
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  when the picture was taken.
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+ ## Pro Tip:
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+ For best results, make sure only their face is in the picture.It's like reading their mind, but with pixels! πŸ˜„
 
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  And hey, if you're feeling a bit down, this app is sure to turn that frown upside down!""").value
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  article = gr.Markdown(
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+ """
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+ ##DISCLAIMER
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+ This app isn't powered by actual mind-reading technology!
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  So, take the results with a grain of salt, or better yet, a pinch of laughter!
45
 
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+ ##FUN FACT
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+ Our facial emotion detector was trained on a bunch of wacky pictures
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  from the FER2013 dataset. It's not perfect, but it'll give you a good chuckle!
49
 
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+ ##DATA JOKES
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+ Did you know the FER2013 dataset consists of 48x48 pixel grayscale images of faces?
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  We're talking emotions captured in a tiny pixel universe!
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  It's like trying to decipher emotions from a microcosm of hilarity! 🧐
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  """).value