Update app.py

app.py

@@ -162,7 +162,7 @@ with GraInter:
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             **MyScore:** After generating the story, I give it a rating from 0 to 1 on how well written it was and how well it followed the prompt.
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-            **RegV1:** Using 13 unique lexical analysis metrics as the input and my scores as the output, I trained a regression model to see what it is about a story that makes it good.
+            **RegV1:** Using 13 unique lexical analysis metrics as the input and my scores as the output, I trained a regression model recognize what types of writing styles people like.
             <br>
             **RegV2:** Basically RegV1 but slighly more style focused as oppose to RegV1 which is weighted by UGI intelligence-focused questions in order to have a better divide between model sizes.
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