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Code Issues Projects Releases Packages Wiki Activity Actions 6

refactor(OptionHover.jsx): simplify types object by removing unnecessary nesting and description keys

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Daniel Avila 2023-03-31 17:35:30 -04:00
parent 97e3ff6b6f
commit 92dbdcaaa2
1 changed files with 13 additions and 31 deletions
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44
client/src/components/Input/OpenAIOptions/OptionHover.jsx
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@ -1,38 +1,16 @@
import React from 'react';
import {
// HoverCard,
// HoverCardTrigger,
HoverCardPortal,
HoverCardContent
} from '~/components/ui/HoverCard.tsx';
// import { cn } from '~/utils/';
import { HoverCardPortal, HoverCardContent } from '~/components/ui/HoverCard.tsx';
const types = {
temp: {
description:
'Higher values = more random, while lower values = more focused and deterministic. We recommend altering this or Top P but not both.'
},
max: {
description:
'The max tokens to generate. The total length of input tokens and generated tokens is limited by the model\'s context length.'
},
'top-p': {
description:
'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We recommend altering this or temperature but not both.'
},
freq: {
description:
'Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim.'
},
pres: {
description:
'Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics.'
},
temp: 'Higher values = more random, while lower values = more focused and deterministic. We recommend altering this or Top P but not both.',
max: "The max tokens to generate. The total length of input tokens and generated tokens is limited by the model's context length.",
'top-p':
'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We recommend altering this or temperature but not both.',
freq: "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
pres: "Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics."
};
function OptionHover({ type, side }) {
const options = {};
if (type === 'pres') {
@ -41,9 +19,13 @@ function OptionHover({ type, side }) {
return (
<HoverCardPortal>
<HoverCardContent side={side} className="w-52 " {...options}>
<HoverCardContent
side={side}
className="w-52 "
{...options}
>
<div className="space-y-2">
<p className="text-sm text-gray-600 dark:text-gray-300">{types[type].description}</p>
<p className="text-sm text-gray-600 dark:text-gray-300">{types[type]}</p>
</div>
</HoverCardContent>
</HoverCardPortal>