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@ -165,49 +165,38 @@ div {
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}
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/* Reduce general whitespace in markdown content */
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.About p.MuiTypography-root,
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.assistant-message p.MuiTypography-root {
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* p.MuiTypography-root {
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margin-top: 0.5rem;
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margin-bottom: 0.5rem;
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font-size: 0.9rem;
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}
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/* Reduce space between headings and content */
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.assistant-message h1.MuiTypography-root,
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.assistant-message h2.MuiTypography-root,
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.assistant-message h3.MuiTypography-root,
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.assistant-message h4.MuiTypography-root,
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.assistant-message h5.MuiTypography-root,
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.assistant-message h6.MuiTypography-root,
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.About h1.MuiTypography-root,
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.About h2.MuiTypography-root,
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.About h3.MuiTypography-root,
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.About h4.MuiTypography-root,
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.About h5.MuiTypography-root,
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.About h6.MuiTypography-root {
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* h1.MuiTypography-root,
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* h2.MuiTypography-root,
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* h3.MuiTypography-root,
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* h4.MuiTypography-root,
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* h5.MuiTypography-root,
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* h6.MuiTypography-root {
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margin-top: 1rem;
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margin-bottom: 0.5rem;
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font-size: 1rem;
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}
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/* Reduce space in lists */
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.assistant-message ul.MuiTypography-root,
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.assistant-message ol.MuiTypography-root,
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.About ul.MuiTypography-root,
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.About ol.MuiTypography-root {
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* ul.MuiTypography-root,
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* ol.MuiTypography-root {
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margin-top: 0.5rem;
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margin-bottom: 0.5rem;
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font-size: 0.9rem;
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}
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.About li.MuiTypography-root,
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.assistant-message li.MuiTypography-root {
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* li.MuiTypography-root {
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margin-bottom: 0.25rem;
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font-size: 0.9rem;
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}
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.About .MuiTypography-root li,
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.assistant-message .MuiTypography-root li {
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* .MuiTypography-root li {
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margin-top: 0;
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margin-bottom: 0;
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padding: 0;
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@ -215,8 +204,7 @@ div {
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}
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/* Reduce space around code blocks */
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.About .MuiTypography-root pre,
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.assistant-message .MuiTypography-root pre {
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* .MuiTypography-root pre {
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border: 1px solid #F5F5F5;
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border-radius: 0.5rem;
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padding: 0.5rem 0.75rem;
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@ -54,11 +54,12 @@ const welcomeMarkdown = `
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Backstory was written by James Ketrenos in order to provide answers to questions potential employers may have about his work history. In addition to being a RAG enabled expert system, the LLM is configured with real-time access to weather, stocks, the current time, and can answer questions about the contents of a website.
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You can ask things like:
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* <ChatQuery text="What is James Ketrenos' work history?"/>
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* <ChatQuery text="What programming languages has James used?"/>
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* <ChatQuery text="What is the weather where James is from?"/>
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* <ChatQuery text="What are the headlines from CNBC?"/>
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* <ChatQuery text="What are the stock value of the most traded companies?"/>
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<ChatQuery text="What is James Ketrenos' work history?"/>
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<ChatQuery text="What programming languages has James used?"/>
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<ChatQuery text="What is the weather where James is from?"/>
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<ChatQuery text="What are the headlines from CNBC?"/>
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<ChatQuery text="What are the stock value of the most traded companies?"/>
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Or click the text above to submit that query.
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@ -30,8 +30,7 @@ const ChatQuery = ({ text, submitQuery }: ChatQueryInterface) => {
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? <Button variant="outlined" sx={{
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color: theme => theme.palette.custom.highlight, // Golden Ochre (#D4A017)
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borderColor: theme => theme.palette.custom.highlight,
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mt: 1,
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mb: 1
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m: 1
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}}
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size="small" onClick={(e: any) => { console.log(text); submitQuery(text); }}>{text}</Button>
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: <Box>{text}</Box>);
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