Update app.py
Browse files
app.py
CHANGED
@@ -33,21 +33,21 @@ 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:
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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! π
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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!
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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!
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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! π§
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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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35 |
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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! π
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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!
|
44 |
So, take the results with a grain of salt, or better yet, a pinch of laughter!
|
45 |
|
46 |
+
## FUN FACT:
|
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Our facial emotion detector was trained on a bunch of wacky pictures
|
48 |
from the FER2013 dataset. It's not perfect, but it'll give you a good chuckle!
|
49 |
|
50 |
+
## DATA JOKES:
|
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Did you know the FER2013 dataset consists of 48x48 pixel grayscale images of faces?
|
52 |
We're talking emotions captured in a tiny pixel universe!
|
53 |
It's like trying to decipher emotions from a microcosm of hilarity! π§
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