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llm-app
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html {
    background: rgb(59,73,87);
    background: linear-gradient(45deg, rgb(12, 4, 34) 0%, rgb(52, 7, 114) 100%);
}

body {
    background-color: pink;
}

.css-144sd5e {
    width: 100% !important;
    height: 88vh !important;
}

.css-ugcix4, .css-1ofqig9, .css-144sd5e, #root, body {
    border-radius: 30px;
}

.css-1ofqig9 {
    background: rgb(46,51,57) !important;
    background: linear-gradient(45deg, rgb(56 14 119) 0%, rgb(145 62 186) 100%) !important;
    border-top: 1px solid rgb(255 255 255 / 30%) !important;
    border-right: 1px solid rgb(255 255 255 / 30%) !important;
    box-shadow: 0 5px 20px 0 rgb(8 2 23 / 60%) !important;
}

.css-qsb7md {
    border-radius: 30px 30px 0 0;
}

.css-17anmg8 {
    border-radius: 0 0 30px 30px;
}

.css-1798y75 {
    background-color: transparent;
}

.css-qsb7md {
    background-color: transparent !important;
    border-color: rgba(255, 255, 255, 0.2) !important;
}

.css-1s3oi5q {
    background-color: transparent !important;
    color: white !important;
}

.css-19mvntf, .css-17z68sn {
    color: yellow !important;
}

.css-1hwjv37 p {
    font-size: 2rem !important;
    font-weight: 600 !important;
}

.css-1hwjv37 {
    font-size: 2rem !important;
    line-height: 2.4rem !important;
}

.css-1ruedog {
    border-color: rgba(255, 255, 0, 0.587) !important;
    color: yellow !important;
}

.css-2n4y0m {
    display: none !important;
}

.css-sdz2z {
    text-align: center !important;
    color: white !important;
}

.css-sdz2z img, .markdown-body img {
    display: inline-block;
    width: 200px;
    height: 200px;
    border-radius: 100%;
}

.css-sdz2z h1, .markdown-body h1 {
    padding-bottom: 2rem !important;
    font-size: 3rem !important;
}

.css-sdz2z h4, .markdown-body h4 {
    padding: 3vh 0 0 0 !important;
}

.css-1j8qrh1 {
    opacity: .5;
}

.css-1mzerio {
    display: none !important;
}

.css-12hxhao img {
    filter: brightness(0) invert(1) !important;
}

.css-1705j0v p {
    color: white !important;
}

.css-1705j0v img {
    filter: brightness(0) invert(1) !important;
}

.css-5kjw2l {
    background-color: color(srgb 0.0977 0.1 0.086) !important;
}

code {
    color: black;
}

li {
    margin: 10px;
}

/* Media query for mobile devices */
@media only screen and (max-width: 768px) {
    .css-sdz2z h1, .markdown-body h1 {
        font-size: 1.5rem !important;
    }
    .css-ugcix4, .css-1ofqig9, .css-144sd5e, #root, body {
        border-radius: 0 !important;
    }
    
}

/* Media query for tablet devices */
@media only screen and (min-width: 769px) and (max-width: 1024px) {
    html {
        padding: 2rem 4rem !important;
    }
}

/* Media query for desktop devices */
@media only screen and (min-width: 1025px) {
    html {
        padding: 4rem 8rem !important;
    }
}

/* This Chainlit app was created following instructions from [this repository!](https://github.com/AI-Maker-Space/Beyond-ChatGPT) */
/* You are an expert assistant focused on providing detailed, step-by-step guidance for completing complex tasks. Always ensure your responses are clear, concise, and contextually relevant to the user's input. */
/* Considering the following context: {input}, provide a comprehensive and accurate response, breaking down the information into actionable steps where applicable. */