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Update bin_public/config/presets.py
Browse files- bin_public/config/presets.py +25 -221
bin_public/config/presets.py
CHANGED
@@ -1,232 +1,38 @@
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# -*- coding:utf-8 -*-
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title = """<h1 align="center">ChatGPT-dteam 🚀</h1>"""
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""
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/* 覆盖gradio的页脚信息QAQ */
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footer {
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display: none !important;
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}
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#footer{
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text-align: center;
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}
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#footer div{
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display: inline-block;
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}
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#footer .versions{
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font-size: 85%;
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opacity: 0.85;
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}
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/* status_display */
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#status_display {
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display: flex;
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min-height: 2.5em;
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align-items: flex-end;
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justify-content: flex-end;
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}
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#status_display p {
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font-size: .85em;
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font-family: monospace;
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color: var(--body-text-color-subdued);
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}
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#chuanhu_chatbot, #status_display {
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transition: all 0.6s;
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}
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position: relative;
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margin: 0;
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box-shadow: var(--block-shadow);
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border-width: var(--block-border-width);
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border-color: var(--block-border-color);
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border-radius: var(--block-radius);
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background: var(--block-background-fill);
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width: 100%;
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line-height: var(--line-sm);
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min-height: 2em;
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}
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#usage_display p, #usage_display span {
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margin: 0;
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padding: .5em 1em;
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font-size: .85em;
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color: var(--body-text-color-subdued);
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}
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.progress-bar {
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background-color: var(--input-background-fill);;
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margin: 0 1em;
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height: 20px;
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border-radius: 10px;
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overflow: hidden;
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}
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.progress {
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background-color: var(--block-title-background-fill);;
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height: 100%;
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border-radius: 10px;
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text-align: right;
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transition: width 0.5s ease-in-out;
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}
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.progress-text {
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/* color: white; */
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color: var(--color-accent) !important;
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font-size: 1em !important;
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font-weight: bold;
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padding-right: 10px;
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line-height: 20px;
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}
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/* list */
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ol:not(.options), ul:not(.options) {
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padding-inline-start: 2em !important;
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}
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/* 对话气泡 */
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[class *= "message"] {
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border-radius: var(--radius-xl) !important;
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border: none;
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padding: var(--spacing-xl) !important;
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font-size: var(--text-md) !important;
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line-height: var(--line-md) !important;
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min-height: calc(var(--text-md)*var(--line-md) + 2*var(--spacing-xl));
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min-width: calc(var(--text-md)*var(--line-md) + 2*var(--spacing-xl));
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}
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[data-testid = "bot"] {
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max-width: 85%;
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border-bottom-left-radius: 0 !important;
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}
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[data-testid = "user"] {
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max-width: 85%;
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width: auto !important;
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border-bottom-right-radius: 0 !important;
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}
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/* 表格 */
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table {
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margin: 1em 0;
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border-collapse: collapse;
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empty-cells: show;
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}
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td,th {
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border: 1.2px solid var(--border-color-primary) !important;
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padding: 0.2em;
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}
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thead {
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background-color: rgba(175,184,193,0.2);
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}
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thead th {
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padding: .5em .2em;
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}
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/* 行内代码 */
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code {
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display: inline;
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white-space: break-spaces;
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border-radius: 6px;
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margin: 0 2px 0 2px;
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padding: .2em .4em .1em .4em;
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background-color: rgba(175,184,193,0.2);
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}
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/* 代码块 */
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pre code {
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display: block;
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overflow: auto;
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white-space: pre;
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background-color: hsla(0, 0%, 0%, 80%)!important;
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border-radius: 10px;
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padding: 1.4em 1.2em 0em 1.4em;
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margin: 1.2em 2em 1.2em 0.5em;
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color: #FFF;
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box-shadow: 6px 6px 16px hsla(0, 0%, 0%, 0.2);
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}
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/* 代码高亮样式 */
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.highlight .hll { background-color: #49483e }
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.highlight .c { color: #75715e } /* Comment */
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.highlight .err { color: #960050; background-color: #1e0010 } /* Error */
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.highlight .k { color: #66d9ef } /* Keyword */
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.highlight .l { color: #ae81ff } /* Literal */
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.highlight .n { color: #f8f8f2 } /* Name */
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.highlight .o { color: #f92672 } /* Operator */
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.highlight .p { color: #f8f8f2 } /* Punctuation */
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.highlight .ch { color: #75715e } /* Comment.Hashbang */
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.highlight .cm { color: #75715e } /* Comment.Multiline */
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.highlight .cp { color: #75715e } /* Comment.Preproc */
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.highlight .cpf { color: #75715e } /* Comment.PreprocFile */
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.highlight .c1 { color: #75715e } /* Comment.Single */
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.highlight .cs { color: #75715e } /* Comment.Special */
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.highlight .gd { color: #f92672 } /* Generic.Deleted */
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.highlight .ge { font-style: italic } /* Generic.Emph */
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.highlight .gi { color: #a6e22e } /* Generic.Inserted */
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.highlight .gs { font-weight: bold } /* Generic.Strong */
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.highlight .gu { color: #75715e } /* Generic.Subheading */
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.highlight .kc { color: #66d9ef } /* Keyword.Constant */
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.highlight .kd { color: #66d9ef } /* Keyword.Declaration */
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.highlight .kn { color: #f92672 } /* Keyword.Namespace */
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.highlight .kp { color: #66d9ef } /* Keyword.Pseudo */
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.highlight .kr { color: #66d9ef } /* Keyword.Reserved */
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.highlight .kt { color: #66d9ef } /* Keyword.Type */
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.highlight .ld { color: #e6db74 } /* Literal.Date */
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.highlight .m { color: #ae81ff } /* Literal.Number */
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.highlight .s { color: #e6db74 } /* Literal.String */
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.highlight .na { color: #a6e22e } /* Name.Attribute */
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.highlight .nb { color: #f8f8f2 } /* Name.Builtin */
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.highlight .nc { color: #a6e22e } /* Name.Class */
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.highlight .no { color: #66d9ef } /* Name.Constant */
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.highlight .nd { color: #a6e22e } /* Name.Decorator */
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.highlight .ni { color: #f8f8f2 } /* Name.Entity */
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.highlight .ne { color: #a6e22e } /* Name.Exception */
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.highlight .nf { color: #a6e22e } /* Name.Function */
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.highlight .nl { color: #f8f8f2 } /* Name.Label */
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.highlight .nn { color: #f8f8f2 } /* Name.Namespace */
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.highlight .nx { color: #a6e22e } /* Name.Other */
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.highlight .py { color: #f8f8f2 } /* Name.Property */
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.highlight .nt { color: #f92672 } /* Name.Tag */
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.highlight .nv { color: #f8f8f2 } /* Name.Variable */
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.highlight .ow { color: #f92672 } /* Operator.Word */
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.highlight .w { color: #f8f8f2 } /* Text.Whitespace */
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.highlight .mb { color: #ae81ff } /* Literal.Number.Bin */
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.highlight .mf { color: #ae81ff } /* Literal.Number.Float */
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.highlight .mh { color: #ae81ff } /* Literal.Number.Hex */
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.highlight .mi { color: #ae81ff } /* Literal.Number.Integer */
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.highlight .mo { color: #ae81ff } /* Literal.Number.Oct */
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.highlight .sa { color: #e6db74 } /* Literal.String.Affix */
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.highlight .sb { color: #e6db74 } /* Literal.String.Backtick */
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.highlight .sc { color: #e6db74 } /* Literal.String.Char */
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.highlight .dl { color: #e6db74 } /* Literal.String.Delimiter */
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.highlight .sd { color: #e6db74 } /* Literal.String.Doc */
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.highlight .s2 { color: #e6db74 } /* Literal.String.Double */
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.highlight .se { color: #ae81ff } /* Literal.String.Escape */
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.highlight .sh { color: #e6db74 } /* Literal.String.Heredoc */
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.highlight .si { color: #e6db74 } /* Literal.String.Interpol */
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.highlight .sx { color: #e6db74 } /* Literal.String.Other */
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.highlight .sr { color: #e6db74 } /* Literal.String.Regex */
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.highlight .s1 { color: #e6db74 } /* Literal.String.Single */
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.highlight .ss { color: #e6db74 } /* Literal.String.Symbol */
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.highlight .bp { color: #f8f8f2 } /* Name.Builtin.Pseudo */
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.highlight .fm { color: #a6e22e } /* Name.Function.Magic */
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.highlight .vc { color: #f8f8f2 } /* Name.Variable.Class */
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.highlight .vg { color: #f8f8f2 } /* Name.Variable.Global */
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.highlight .vi { color: #f8f8f2 } /* Name.Variable.Instance */
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.highlight .vm { color: #f8f8f2 } /* Name.Variable.Magic */
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.highlight .il { color: #ae81ff } /* Literal.Number.Integer.Long */
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"""
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SIM_K = 5
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INDEX_QUERY_TEMPERATURE = 1.0
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summarize_prompt = "你是谁?我们刚才聊了什么?" # 总结对话时的 prompt
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# MODELS = ["gpt-3.5-turbo", "gpt-3.5-turbo-0301", "gpt-4","gpt-4-0314", "gpt-4-32k", "gpt-4-32k-0314"] # 可选的模型
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MODELS = ["gpt-3.5-turbo-0301"]
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""
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# 错误信息
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standard_error_msg = "☹️发生了错误:" # 错误信息的标准前缀
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@@ -249,10 +55,8 @@ HIDE_MY_KEY = False # 如果你想在UI中隐藏你的 API 密钥,将此值设
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WEBSEARCH_PTOMPT_TEMPLATE = """\
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Web search results:
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{web_results}
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Current date: {current_date}
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Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
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Query: {query}
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Reply in 中文"""
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@@ -282,4 +86,4 @@ We have the opportunity to refine the existing answer
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Given the new context, refine the original answer to better
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Answer in the same language as the question, such as English, 中文, 日本語, Español, Français, or Deutsch.
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If the context isn't useful, return the original answer.
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"""
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import gradio as gr
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# -*- coding:utf-8 -*-
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title = """<h1 align="center">ChatGPT-dteam 🚀</h1>"""
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API_URL = "https://api.openai.com/v1/chat/completions"
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BALANCE_API_URL="https://api.openai.com/dashboard/billing/credit_grants"
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USAGE_API_URL="https://api.openai.com/dashboard/billing/usage"
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Kelpy_Codos_Path = r"bin_public/config/Kelpy-Codos.js"
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customJS_Path = r"bin_public/config/custom.js"
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CSS_path = r"bin_public/config/CustomCSS.css"
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HISTORY_DIR = "history"
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TEMPLATES_DIR = "templates"
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description = """<div align=center>
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</div>
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"""
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SIM_K = 5
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INDEX_QUERY_TEMPERATURE = 1.0
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initial_prompt = "You are a helpful assistant."
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summarize_prompt = "你是谁?我们刚才聊了什么?" # 总结对话时的 prompt
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# MODELS = ["gpt-3.5-turbo", "gpt-3.5-turbo-0301", "gpt-4","gpt-4-0314", "gpt-4-32k", "gpt-4-32k-0314"] # 可选的模型
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MODELS = ["gpt-3.5-turbo-0301", "gpt-4", "gpt-4-0314"]
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REPLY_LANGUAGES = [
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"中文",
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"English",
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"日本語",
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"Español",
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"Français",
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"Deutsch",
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"跟随问题语言(不稳定)"
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]
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# 错误信息
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standard_error_msg = "☹️发生了错误:" # 错误信息的标准前缀
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WEBSEARCH_PTOMPT_TEMPLATE = """\
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Web search results:
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{web_results}
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Current date: {current_date}
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Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
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Query: {query}
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Reply in 中文"""
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Given the new context, refine the original answer to better
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Answer in the same language as the question, such as English, 中文, 日本語, Español, Français, or Deutsch.
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If the context isn't useful, return the original answer.
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"""
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