Refactoring into a Conversation element
This commit is contained in:
parent
a141a1f954
commit
1d1bcb3e13
@ -287,6 +287,10 @@ RUN { \
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echo ' sleep 3'; \
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echo ' done &' ; \
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echo ' fi' ; \
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echo ' if [[ ! -e src/cert.pem ]]; then' ; \
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echo ' echo "Generating self-signed certificate for HTTPS"'; \
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echo ' openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout src/key.pem -out src/cert.pem -subj "/C=US/ST=OR/L=Portland/O=Development/CN=localhost"'; \
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echo ' fi' ; \
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echo ' while true; do'; \
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echo ' echo "Launching Backstory server..."'; \
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echo ' python src/server.py "${@}" || echo "Backstory server died. Restarting in 3 seconds."'; \
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12
frontend/craco.config.js
Normal file
12
frontend/craco.config.js
Normal file
@ -0,0 +1,12 @@
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module.exports = {
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devServer: {
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server: {
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type: 'https',
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// You can also specify custom certificates if needed:
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// options: {
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// cert: '/path/to/cert.pem',
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// key: '/path/to/key.pem',
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// }
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}
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}
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};
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263
frontend/package-lock.json
generated
263
frontend/package-lock.json
generated
@ -39,6 +39,7 @@
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},
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@ -1975,6 +1976,52 @@
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"peer": true
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"devOptional": true,
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@ -4379,6 +4426,30 @@
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"devOptional": true
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"node_modules/@tsconfig/node14": {
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"devOptional": true
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"node_modules/@tsconfig/node16": {
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"version": "1.0.4",
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"devOptional": true
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"resolved": "https://registry.npmjs.org/@turf/area/-/area-7.2.0.tgz",
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@ -6780,6 +6851,20 @@
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"wrap-ansi": "^7.0.0"
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}
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"dev": true,
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"dependencies": {
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"is-plain-object": "^2.0.4",
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"kind-of": "^6.0.2",
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"shallow-clone": "^3.0.0"
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"engines": {
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"node": ">=6"
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"node_modules/clsx": {
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"version": "2.1.1",
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"resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz",
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@ -7222,12 +7307,37 @@
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"node": ">=10"
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"node_modules/cosmiconfig-typescript-loader": {
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@ -8151,6 +8261,15 @@
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@ -9919,6 +10038,15 @@
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@ -11958,6 +12086,18 @@
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@ -13590,6 +13739,12 @@
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"integrity": "sha512-58S9QDqG0Xx27YwPSt9fJxivjYl432YCwfDMfZ+71RAqUrZef7LrKQZ3LHLOwCS4FLNBplP533Zx895SeOCHvA==",
|
||||
"devOptional": true
|
||||
},
|
||||
"node_modules/tsconfig-paths": {
|
||||
"version": "3.15.0",
|
||||
"resolved": "https://registry.npmjs.org/tsconfig-paths/-/tsconfig-paths-3.15.0.tgz",
|
||||
@ -21095,6 +21323,12 @@
|
||||
"uuid": "dist/bin/uuid"
|
||||
}
|
||||
},
|
||||
"node_modules/v8-compile-cache-lib": {
|
||||
"version": "3.0.1",
|
||||
"resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz",
|
||||
"integrity": "sha512-wa7YjyUGfNZngI/vtK0UHAN+lgDCxBPCylVXGp0zu59Fz5aiGtNXaq3DhIov063MorB+VfufLh3JlF2KdTK3xg==",
|
||||
"devOptional": true
|
||||
},
|
||||
"node_modules/v8-to-istanbul": {
|
||||
"version": "8.1.1",
|
||||
"resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-8.1.1.tgz",
|
||||
@ -21436,6 +21670,20 @@
|
||||
"node": ">=10.13.0"
|
||||
}
|
||||
},
|
||||
"node_modules/webpack-merge": {
|
||||
"version": "5.10.0",
|
||||
"resolved": "https://registry.npmjs.org/webpack-merge/-/webpack-merge-5.10.0.tgz",
|
||||
"integrity": "sha512-+4zXKdx7UnO+1jaN4l2lHVD+mFvnlZQP/6ljaJVb4SZiwIKeUnrT5l0gkT8z+n4hKpC+jpOv6O9R+gLtag7pSA==",
|
||||
"dev": true,
|
||||
"dependencies": {
|
||||
"clone-deep": "^4.0.1",
|
||||
"flat": "^5.0.2",
|
||||
"wildcard": "^2.0.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=10.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/webpack-sources": {
|
||||
"version": "3.2.3",
|
||||
"resolved": "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.2.3.tgz",
|
||||
@ -21622,6 +21870,12 @@
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/wildcard": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/wildcard/-/wildcard-2.0.1.tgz",
|
||||
"integrity": "sha512-CC1bOL87PIWSBhDcTrdeLo6eGT7mCFtrg0uIJtqJUFyK+eJnzl8A1niH56uu7KMa5XFrtiV+AQuHO3n7DsHnLQ==",
|
||||
"dev": true
|
||||
},
|
||||
"node_modules/window-size": {
|
||||
"version": "0.1.0",
|
||||
"resolved": "https://registry.npmjs.org/window-size/-/window-size-0.1.0.tgz",
|
||||
@ -22085,6 +22339,15 @@
|
||||
"node": ">=10"
|
||||
}
|
||||
},
|
||||
"node_modules/yn": {
|
||||
"version": "3.1.1",
|
||||
"resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz",
|
||||
"integrity": "sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==",
|
||||
"devOptional": true,
|
||||
"engines": {
|
||||
"node": ">=6"
|
||||
}
|
||||
},
|
||||
"node_modules/yocto-queue": {
|
||||
"version": "0.1.0",
|
||||
"resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
|
||||
|
||||
@ -9,7 +9,6 @@
|
||||
"@mui/icons-material": "^7.0.1",
|
||||
"@mui/material": "^7.0.1",
|
||||
"@tensorflow/tfjs": "^4.22.0",
|
||||
"@tensorflow/tfjs-backend-webgl": "^4.22.0",
|
||||
"@tensorflow/tfjs-tsne": "^0.2.0",
|
||||
"@testing-library/dom": "^10.4.0",
|
||||
"@testing-library/jest-dom": "^6.6.3",
|
||||
@ -29,15 +28,13 @@
|
||||
"rehype-katex": "^7.0.1",
|
||||
"remark-gfm": "^4.0.1",
|
||||
"remark-math": "^6.0.0",
|
||||
"tsne-js": "^1.0.3",
|
||||
"typescript": "^4.9.5",
|
||||
"web-vitals": "^2.1.4"
|
||||
},
|
||||
"scripts": {
|
||||
"start": "react-scripts start",
|
||||
"build": "react-scripts build",
|
||||
"test": "react-scripts test",
|
||||
"eject": "react-scripts eject"
|
||||
"start": "HTTPS=true craco start",
|
||||
"build": "craco build",
|
||||
"test": "craco test"
|
||||
},
|
||||
"eslintConfig": {
|
||||
"extends": [
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -10,9 +10,10 @@ interface ChatBubbleProps {
|
||||
isFullWidth?: boolean;
|
||||
children: React.ReactNode;
|
||||
sx?: SxProps<Theme>;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
function ChatBubble({ role, isFullWidth, children, sx }: ChatBubbleProps) {
|
||||
function ChatBubble({ role, isFullWidth, children, sx, className }: ChatBubbleProps) {
|
||||
const theme = useTheme();
|
||||
|
||||
const styles = {
|
||||
@ -76,7 +77,7 @@ function ChatBubble({ role, isFullWidth, children, sx }: ChatBubbleProps) {
|
||||
};
|
||||
|
||||
return (
|
||||
<Box sx={{ ...styles[role], ...sx }}>
|
||||
<Box className={className} sx={{ ...styles[role], ...sx }}>
|
||||
{children}
|
||||
</Box>
|
||||
);
|
||||
|
||||
495
frontend/src/Controls.tsx
Normal file
495
frontend/src/Controls.tsx
Normal file
@ -0,0 +1,495 @@
|
||||
import React, { useState, useEffect, ReactElement } from 'react';
|
||||
import FormGroup from '@mui/material/FormGroup';
|
||||
import FormControlLabel from '@mui/material/FormControlLabel';
|
||||
import Switch from '@mui/material/Switch';
|
||||
import Divider from '@mui/material/Divider';
|
||||
import TextField from '@mui/material/TextField';
|
||||
import Accordion from '@mui/material/Accordion';
|
||||
import AccordionActions from '@mui/material/AccordionActions';
|
||||
import AccordionSummary from '@mui/material/AccordionSummary';
|
||||
import AccordionDetails from '@mui/material/AccordionDetails';
|
||||
import Typography from '@mui/material/Typography';
|
||||
import Button from '@mui/material/Button';
|
||||
import Box from '@mui/material/Box';
|
||||
import ResetIcon from '@mui/icons-material/History';
|
||||
import ExpandMoreIcon from '@mui/icons-material/ExpandMore';
|
||||
|
||||
import { SeverityType } from './Snack';
|
||||
|
||||
type Tool = {
|
||||
type: string,
|
||||
function?: {
|
||||
name: string,
|
||||
description: string,
|
||||
parameters?: any,
|
||||
returns?: any
|
||||
},
|
||||
name?: string,
|
||||
description?: string,
|
||||
enabled: boolean
|
||||
};
|
||||
|
||||
interface ControlsParams {
|
||||
connectionBase: string,
|
||||
sessionId: string | undefined,
|
||||
setSnack: (message: string, severity?: SeverityType) => void,
|
||||
};
|
||||
|
||||
type GPUInfo = {
|
||||
name: string,
|
||||
memory: number,
|
||||
discrete: boolean
|
||||
}
|
||||
|
||||
|
||||
type SystemInfo = {
|
||||
"Installed RAM": string,
|
||||
"Graphics Card": GPUInfo[],
|
||||
"CPU": string
|
||||
};
|
||||
|
||||
const SystemInfoComponent: React.FC<{ systemInfo: SystemInfo | undefined }> = ({ systemInfo }) => {
|
||||
const [systemElements, setSystemElements] = useState<ReactElement[]>([]);
|
||||
|
||||
const convertToSymbols = (text: string) => {
|
||||
return text
|
||||
.replace(/\(R\)/g, '®') // Replace (R) with the ® symbol
|
||||
.replace(/\(C\)/g, '©') // Replace (C) with the © symbol
|
||||
.replace(/\(TM\)/g, '™'); // Replace (TM) with the ™ symbol
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
if (systemInfo === undefined) {
|
||||
return;
|
||||
}
|
||||
const elements = Object.entries(systemInfo).flatMap(([k, v]) => {
|
||||
// If v is an array, repeat for each card
|
||||
if (Array.isArray(v)) {
|
||||
return v.map((card, index) => (
|
||||
<div key={index} className="SystemInfoItem">
|
||||
<div>{convertToSymbols(k)} {index}</div>
|
||||
<div>{convertToSymbols(card.name)} {card.discrete ? `w/ ${Math.round(card.memory / (1024 * 1024 * 1024))}GB RAM` : "(integrated)"}</div>
|
||||
</div>
|
||||
));
|
||||
}
|
||||
|
||||
// If it's not an array, handle normally
|
||||
return (
|
||||
<div key={k} className="SystemInfoItem">
|
||||
<div>{convertToSymbols(k)}</div>
|
||||
<div>{convertToSymbols(String(v))}</div>
|
||||
</div>
|
||||
);
|
||||
});
|
||||
|
||||
setSystemElements(elements);
|
||||
}, [systemInfo]);
|
||||
|
||||
return <div className="SystemInfo">{systemElements}</div>;
|
||||
};
|
||||
|
||||
const Controls = ({ sessionId, setSnack, connectionBase }: ControlsParams) => {
|
||||
const [editSystemPrompt, setEditSystemPrompt] = useState<string>("");
|
||||
const [systemInfo, setSystemInfo] = useState<SystemInfo | undefined>(undefined);
|
||||
const [tools, setTools] = useState<Tool[]>([]);
|
||||
const [rags, setRags] = useState<Tool[]>([]);
|
||||
const [systemPrompt, setSystemPrompt] = useState<string>("");
|
||||
const [serverSystemPrompt, setServerSystemPrompt] = useState<string>("");
|
||||
const [messageHistoryLength, setMessageHistoryLength] = useState<number>(5);
|
||||
|
||||
useEffect(() => {
|
||||
if (systemPrompt === serverSystemPrompt || !systemPrompt.trim() || sessionId === undefined) {
|
||||
return;
|
||||
}
|
||||
const sendSystemPrompt = async (prompt: string) => {
|
||||
try {
|
||||
const response = await fetch(connectionBase + `/api/tunables/${sessionId}`, {
|
||||
method: 'PUT',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ "system-prompt": prompt }),
|
||||
});
|
||||
|
||||
const data = await response.json();
|
||||
const newPrompt = data["system-prompt"];
|
||||
if (newPrompt !== serverSystemPrompt) {
|
||||
setServerSystemPrompt(newPrompt);
|
||||
setSystemPrompt(newPrompt)
|
||||
setSnack("System prompt updated", "success");
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Fetch error:', error);
|
||||
setSnack("System prompt update failed", "error");
|
||||
}
|
||||
};
|
||||
|
||||
sendSystemPrompt(systemPrompt);
|
||||
|
||||
}, [systemPrompt, setServerSystemPrompt, serverSystemPrompt, connectionBase, sessionId, setSnack]);
|
||||
|
||||
useEffect(() => {
|
||||
if (sessionId === undefined) {
|
||||
return;
|
||||
}
|
||||
const sendMessageHistoryLength = async (length: number) => {
|
||||
try {
|
||||
const response = await fetch(connectionBase + `/api/tunables/${sessionId}`, {
|
||||
method: 'PUT',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ "message-history-length": length }),
|
||||
});
|
||||
|
||||
const data = await response.json();
|
||||
const newLength = data["message-history-length"];
|
||||
if (newLength !== messageHistoryLength) {
|
||||
setMessageHistoryLength(newLength);
|
||||
setSnack("Message history length updated", "success");
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Fetch error:', error);
|
||||
setSnack("Message history length update failed", "error");
|
||||
}
|
||||
};
|
||||
|
||||
sendMessageHistoryLength(messageHistoryLength);
|
||||
|
||||
}, [messageHistoryLength, setMessageHistoryLength, connectionBase, sessionId, setSnack]);
|
||||
const reset = async (types: ("rags" | "tools" | "history" | "system-prompt" | "message-history-length")[], message: string = "Update successful.") => {
|
||||
try {
|
||||
const response = await fetch(connectionBase + `/api/reset/${sessionId}`, {
|
||||
method: 'PUT',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ "reset": types }),
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
const data = await response.json();
|
||||
if (data.error) {
|
||||
throw Error()
|
||||
}
|
||||
for (const [key, value] of Object.entries(data)) {
|
||||
switch (key) {
|
||||
case "rags":
|
||||
setRags(value as Tool[]);
|
||||
break;
|
||||
case "tools":
|
||||
setTools(value as Tool[]);
|
||||
break;
|
||||
case "system-prompt":
|
||||
setServerSystemPrompt((value as any)["system-prompt"].trim());
|
||||
setSystemPrompt((value as any)["system-prompt"].trim());
|
||||
break;
|
||||
case "history":
|
||||
console.log('TODO: handle history reset');
|
||||
break;
|
||||
}
|
||||
}
|
||||
setSnack(message, "success");
|
||||
} else {
|
||||
throw Error(`${{ status: response.status, message: response.statusText }}`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Fetch error:', error);
|
||||
setSnack("Unable to restore defaults", "error");
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
// Get the system information
|
||||
useEffect(() => {
|
||||
if (systemInfo !== undefined || sessionId === undefined) {
|
||||
return;
|
||||
}
|
||||
fetch(connectionBase + `/api/system-info/${sessionId}`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => {
|
||||
setSystemInfo(data);
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('Error obtaining system information:', error);
|
||||
setSnack("Unable to obtain system information.", "error");
|
||||
});
|
||||
}, [systemInfo, setSystemInfo, connectionBase, setSnack, sessionId])
|
||||
|
||||
useEffect(() => {
|
||||
setEditSystemPrompt(systemPrompt);
|
||||
}, [systemPrompt, setEditSystemPrompt]);
|
||||
|
||||
|
||||
const toggleRag = async (tool: Tool) => {
|
||||
tool.enabled = !tool.enabled
|
||||
try {
|
||||
const response = await fetch(connectionBase + `/api/rags/${sessionId}`, {
|
||||
method: 'PUT',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ "tool": tool?.name, "enabled": tool.enabled }),
|
||||
});
|
||||
|
||||
const rags = await response.json();
|
||||
setRags([...rags])
|
||||
setSnack(`${tool?.name} ${tool.enabled ? "enabled" : "disabled"}`);
|
||||
} catch (error) {
|
||||
console.error('Fetch error:', error);
|
||||
setSnack(`${tool?.name} ${tool.enabled ? "enabling" : "disabling"} failed.`, "error");
|
||||
tool.enabled = !tool.enabled
|
||||
}
|
||||
};
|
||||
|
||||
const toggleTool = async (tool: Tool) => {
|
||||
tool.enabled = !tool.enabled
|
||||
try {
|
||||
const response = await fetch(connectionBase + `/api/tools/${sessionId}`, {
|
||||
method: 'PUT',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ "tool": tool?.function?.name, "enabled": tool.enabled }),
|
||||
});
|
||||
|
||||
const tools = await response.json();
|
||||
setTools([...tools])
|
||||
setSnack(`${tool?.function?.name} ${tool.enabled ? "enabled" : "disabled"}`);
|
||||
} catch (error) {
|
||||
console.error('Fetch error:', error);
|
||||
setSnack(`${tool?.function?.name} ${tool.enabled ? "enabling" : "disabling"} failed.`, "error");
|
||||
tool.enabled = !tool.enabled
|
||||
}
|
||||
};
|
||||
|
||||
// If the tools have not been set, fetch them from the server
|
||||
useEffect(() => {
|
||||
if (tools.length || sessionId === undefined) {
|
||||
return;
|
||||
}
|
||||
const fetchTools = async () => {
|
||||
try {
|
||||
// Make the fetch request with proper headers
|
||||
const response = await fetch(connectionBase + `/api/tools/${sessionId}`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
});
|
||||
if (!response.ok) {
|
||||
throw Error();
|
||||
}
|
||||
const tools = await response.json();
|
||||
setTools(tools);
|
||||
} catch (error: any) {
|
||||
setSnack("Unable to fetch tools", "error");
|
||||
console.error(error);
|
||||
}
|
||||
}
|
||||
|
||||
fetchTools();
|
||||
}, [sessionId, tools, setTools, setSnack, connectionBase]);
|
||||
|
||||
// If the RAGs have not been set, fetch them from the server
|
||||
useEffect(() => {
|
||||
if (rags.length || sessionId === undefined) {
|
||||
return;
|
||||
}
|
||||
const fetchRags = async () => {
|
||||
try {
|
||||
// Make the fetch request with proper headers
|
||||
const response = await fetch(connectionBase + `/api/rags/${sessionId}`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
});
|
||||
if (!response.ok) {
|
||||
throw Error();
|
||||
}
|
||||
const rags = await response.json();
|
||||
setRags(rags);
|
||||
} catch (error: any) {
|
||||
setSnack("Unable to fetch RAGs", "error");
|
||||
console.error(error);
|
||||
}
|
||||
}
|
||||
|
||||
fetchRags();
|
||||
}, [sessionId, rags, setRags, setSnack, connectionBase]);
|
||||
|
||||
// If the systemPrompt has not been set, fetch it from the server
|
||||
useEffect(() => {
|
||||
if (serverSystemPrompt !== "" || sessionId === undefined) {
|
||||
return;
|
||||
}
|
||||
const fetchTunables = async () => {
|
||||
// Make the fetch request with proper headers
|
||||
const response = await fetch(connectionBase + `/api/tunables/${sessionId}`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
});
|
||||
const data = await response.json();
|
||||
const serverSystemPrompt = data["system-prompt"].trim();
|
||||
setServerSystemPrompt(serverSystemPrompt);
|
||||
setSystemPrompt(serverSystemPrompt);
|
||||
setMessageHistoryLength(data["message-history-length"]);
|
||||
}
|
||||
|
||||
fetchTunables();
|
||||
}, [sessionId, serverSystemPrompt, setServerSystemPrompt, connectionBase]);
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
const toggle = async (type: string, index: number) => {
|
||||
switch (type) {
|
||||
case "rag":
|
||||
toggleRag(rags[index])
|
||||
break;
|
||||
case "tool":
|
||||
toggleTool(tools[index]);
|
||||
}
|
||||
};
|
||||
|
||||
const handleKeyPress = (event: any) => {
|
||||
if (event.key === 'Enter' && event.ctrlKey) {
|
||||
switch (event.target.id) {
|
||||
case 'SystemPromptInput':
|
||||
setSystemPrompt(editSystemPrompt);
|
||||
break;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
return (<div className="Controls">
|
||||
<Typography component="span" sx={{ mb: 1 }}>
|
||||
You can change the information available to the LLM by adjusting the following settings:
|
||||
|
||||
</Typography>
|
||||
<Accordion>
|
||||
<AccordionSummary expandIcon={<ExpandMoreIcon />}>
|
||||
<Typography component="span">System Prompt</Typography>
|
||||
</AccordionSummary>
|
||||
<AccordionActions style={{ flexDirection: "column" }}>
|
||||
<TextField
|
||||
variant="outlined"
|
||||
fullWidth
|
||||
multiline
|
||||
type="text"
|
||||
value={editSystemPrompt}
|
||||
onChange={(e) => setEditSystemPrompt(e.target.value)}
|
||||
onKeyDown={handleKeyPress}
|
||||
placeholder="Enter the new system prompt.."
|
||||
id="SystemPromptInput"
|
||||
/>
|
||||
<div style={{ display: "flex", flexDirection: "row", gap: "8px", paddingTop: "8px" }}>
|
||||
<Button variant="contained" disabled={editSystemPrompt === systemPrompt} onClick={() => { setSystemPrompt(editSystemPrompt); }}>Set</Button>
|
||||
<Button variant="outlined" onClick={() => { reset(["system-prompt"], "System prompt reset."); }} color="error">Reset</Button>
|
||||
</div>
|
||||
</AccordionActions>
|
||||
</Accordion>
|
||||
<Accordion>
|
||||
<AccordionSummary expandIcon={<ExpandMoreIcon />}>
|
||||
<Typography component="span">Tunables</Typography>
|
||||
</AccordionSummary>
|
||||
<AccordionActions style={{ flexDirection: "column" }}>
|
||||
<TextField
|
||||
id="outlined-number"
|
||||
label="Message history"
|
||||
type="number"
|
||||
helperText="Only use this many messages as context. 0 = All. Keeping this low will reduce context growth and improve performance."
|
||||
value={messageHistoryLength}
|
||||
onChange={(e: any) => setMessageHistoryLength(e.target.value)}
|
||||
slotProps={{
|
||||
htmlInput: {
|
||||
min: 0
|
||||
},
|
||||
inputLabel: {
|
||||
shrink: true,
|
||||
},
|
||||
}}
|
||||
/>
|
||||
</AccordionActions>
|
||||
</Accordion>
|
||||
<Accordion>
|
||||
<AccordionSummary expandIcon={<ExpandMoreIcon />}>
|
||||
<Typography component="span">Tools</Typography>
|
||||
</AccordionSummary>
|
||||
<AccordionDetails>
|
||||
These tools can be made available to the LLM for obtaining real-time information from the Internet. The description provided to the LLM is provided for reference.
|
||||
</AccordionDetails>
|
||||
<AccordionActions>
|
||||
<FormGroup sx={{ p: 1 }}>
|
||||
{
|
||||
tools.map((tool, index) =>
|
||||
<Box key={index}>
|
||||
<Divider />
|
||||
<FormControlLabel control={<Switch checked={tool.enabled} />} onChange={() => toggle("tool", index)} label={tool?.function?.name} />
|
||||
<Typography sx={{ fontSize: "0.8rem", mb: 1 }}>{tool?.function?.description}</Typography>
|
||||
</Box>
|
||||
)
|
||||
}</FormGroup>
|
||||
</AccordionActions>
|
||||
</Accordion>
|
||||
<Accordion>
|
||||
<AccordionSummary expandIcon={<ExpandMoreIcon />}>
|
||||
<Typography component="span">RAG</Typography>
|
||||
</AccordionSummary>
|
||||
<AccordionDetails>
|
||||
These RAG databases can be enabled / disabled for adding additional context based on the chat request.
|
||||
</AccordionDetails>
|
||||
<AccordionActions>
|
||||
<FormGroup sx={{ p: 1 }}>
|
||||
{
|
||||
rags.map((rag, index) =>
|
||||
<Box key={index}>
|
||||
<Divider />
|
||||
<FormControlLabel control={<Switch checked={rag.enabled} />} onChange={() => toggle("rag", index)} label={rag?.name} />
|
||||
<Typography>{rag?.description}</Typography>
|
||||
</Box>
|
||||
)
|
||||
}</FormGroup>
|
||||
</AccordionActions>
|
||||
</Accordion>
|
||||
<Accordion>
|
||||
<AccordionSummary expandIcon={<ExpandMoreIcon />}>
|
||||
<Typography component="span">System Information</Typography>
|
||||
</AccordionSummary>
|
||||
<AccordionDetails>
|
||||
The server is running on the following hardware:
|
||||
</AccordionDetails>
|
||||
<AccordionActions>
|
||||
<SystemInfoComponent systemInfo={systemInfo} />
|
||||
</AccordionActions>
|
||||
</Accordion>
|
||||
<Button startIcon={<ResetIcon />} onClick={() => { reset(["history"], "History cleared."); }}>Clear Backstory History</Button>
|
||||
<Button onClick={() => { reset(["rags", "tools", "system-prompt", "message-history-length"], "Default settings restored.") }}>Reset system prompt, tunables, and RAG to defaults</Button>
|
||||
</div>);
|
||||
}
|
||||
|
||||
|
||||
export type {
|
||||
ControlsParams
|
||||
};
|
||||
|
||||
export {
|
||||
Controls
|
||||
};
|
||||
446
frontend/src/Conversation.tsx
Normal file
446
frontend/src/Conversation.tsx
Normal file
@ -0,0 +1,446 @@
|
||||
import React, { useState, useImperativeHandle, forwardRef, useEffect, useRef, useCallback } from 'react';
|
||||
import TextField from '@mui/material/TextField';
|
||||
import Typography from '@mui/material/Typography';
|
||||
import Tooltip from '@mui/material/Tooltip';
|
||||
import Button from '@mui/material/Button';
|
||||
import Box from '@mui/material/Box';
|
||||
import SendIcon from '@mui/icons-material/Send';
|
||||
|
||||
import PropagateLoader from "react-spinners/PropagateLoader";
|
||||
|
||||
import { Message, MessageList } from './Message';
|
||||
import { SeverityType } from './Snack';
|
||||
import { ContextStatus } from './ContextStatus';
|
||||
import { MessageData } from './MessageMeta';
|
||||
|
||||
const welcomeMarkdown = `
|
||||
# Welcome to Backstory
|
||||
|
||||
Backstory was written by James Ketrenos in order to provide answers to
|
||||
questions potential employers may have about his work history.
|
||||
You can ask things like:
|
||||
|
||||
<ChatQuery text="What is James Ketrenos' work history?"/>
|
||||
<ChatQuery text="What programming languages has James used?"/>
|
||||
<ChatQuery text="What are James' professional strengths?"/>
|
||||
<ChatQuery text="What are today's headlines on CNBC.com?"/>
|
||||
|
||||
You can click the text above to submit that query, or type it in yourself (or whatever questions you may have.)
|
||||
|
||||
Backstory is a RAG enabled expert system with access to real-time data running self-hosted
|
||||
(no cloud) versions of industry leading Large and Small Language Models (LLM/SLMs).
|
||||
|
||||
As with all LLM interactions, the results may not be 100% accurate. If you have questions about my career, I'd love to hear from you. You can send me an email at **james_backstory@ketrenos.com**.`;
|
||||
|
||||
const welcomeMessage: MessageData = {
|
||||
"role": "assistant", "content": welcomeMarkdown
|
||||
};
|
||||
const loadingMessage: MessageData = { "role": "assistant", "content": "Instancing chat session..." };
|
||||
|
||||
type ConversationMode = 'chat' | 'fact-check' | 'system';
|
||||
|
||||
interface ConversationHandle {
|
||||
submitQuery: () => void;
|
||||
}
|
||||
|
||||
interface ConversationProps {
|
||||
type: ConversationMode
|
||||
prompt: string,
|
||||
connectionBase: string,
|
||||
sessionId: string | undefined,
|
||||
setSnack: (message: string, severity: SeverityType) => void,
|
||||
};
|
||||
|
||||
const Conversation = forwardRef<ConversationHandle, ConversationProps>(({prompt, type, sessionId, setSnack, connectionBase} : ConversationProps, ref) => {
|
||||
const [query, setQuery] = useState<string>("");
|
||||
const [contextUsedPercentage, setContextUsedPercentage] = useState<number>(0);
|
||||
const [processing, setProcessing] = useState<boolean>(false);
|
||||
const [countdown, setCountdown] = useState<number>(0);
|
||||
const [conversation, setConversation] = useState<MessageList>([]);
|
||||
const timerRef = useRef<any>(null);
|
||||
const [lastEvalTPS, setLastEvalTPS] = useState<number>(35);
|
||||
const [lastPromptTPS, setLastPromptTPS] = useState<number>(430);
|
||||
const [contextStatus, setContextStatus] = useState<ContextStatus>({ context_used: 0, max_context: 0 });
|
||||
const [contextWarningShown, setContextWarningShown] = useState<boolean>(false);
|
||||
|
||||
// Update the context status
|
||||
const updateContextStatus = useCallback(() => {
|
||||
const fetchContextStatus = async () => {
|
||||
try {
|
||||
const response = await fetch(connectionBase + `/api/context-status/${sessionId}`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`Server responded with ${response.status}: ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
setContextStatus(data);
|
||||
}
|
||||
catch (error) {
|
||||
console.error('Error getting context status:', error);
|
||||
setSnack("Unable to obtain context status.", "error");
|
||||
}
|
||||
};
|
||||
fetchContextStatus();
|
||||
}, [setContextStatus, connectionBase, setSnack, sessionId]);
|
||||
|
||||
// Set the initial chat history to "loading" or the welcome message if loaded.
|
||||
useEffect(() => {
|
||||
if (sessionId === undefined) {
|
||||
setConversation([loadingMessage]);
|
||||
} else {
|
||||
fetch(connectionBase + `/api/history/${sessionId}`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
})
|
||||
.then(response => response.json())
|
||||
.then(data => {
|
||||
console.log(`Session id: ${sessionId} -- history returned from server with ${data.length} entries`)
|
||||
setConversation([
|
||||
welcomeMessage,
|
||||
...data
|
||||
]);
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('Error generating session ID:', error);
|
||||
setSnack("Unable to obtain chat history.", "error");
|
||||
});
|
||||
updateContextStatus();
|
||||
}
|
||||
}, [sessionId, setConversation, updateContextStatus, connectionBase, setSnack]);
|
||||
|
||||
|
||||
const isScrolledToBottom = useCallback(()=> {
|
||||
// Current vertical scroll position
|
||||
const scrollTop = window.scrollY || document.documentElement.scrollTop;
|
||||
|
||||
// Total height of the page content
|
||||
const scrollHeight = document.documentElement.scrollHeight;
|
||||
|
||||
// Height of the visible window
|
||||
const clientHeight = document.documentElement.clientHeight;
|
||||
|
||||
// If we're at the bottom (allowing a small buffer of 16px)
|
||||
return scrollTop + clientHeight >= scrollHeight - 16;
|
||||
}, []);
|
||||
|
||||
const scrollToBottom = useCallback(() => {
|
||||
console.log("Scroll to bottom");
|
||||
window.scrollTo({
|
||||
top: document.body.scrollHeight,
|
||||
});
|
||||
}, []);
|
||||
|
||||
|
||||
const startCountdown = (seconds: number) => {
|
||||
if (timerRef.current) clearInterval(timerRef.current);
|
||||
setCountdown(seconds);
|
||||
timerRef.current = setInterval(() => {
|
||||
setCountdown((prev) => {
|
||||
if (prev <= 1) {
|
||||
clearInterval(timerRef.current);
|
||||
timerRef.current = null;
|
||||
if (isScrolledToBottom()) {
|
||||
setTimeout(() => {
|
||||
scrollToBottom();
|
||||
}, 50)
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
return prev - 1;
|
||||
});
|
||||
}, 1000);
|
||||
};
|
||||
|
||||
const submitQuery = (text: string) => {
|
||||
sendQuery(text);
|
||||
}
|
||||
|
||||
const stopCountdown = () => {
|
||||
if (timerRef.current) {
|
||||
clearInterval(timerRef.current);
|
||||
timerRef.current = null;
|
||||
setCountdown(0);
|
||||
}
|
||||
};
|
||||
|
||||
const handleKeyPress = (event: any) => {
|
||||
if (event.key === 'Enter') {
|
||||
switch (event.target.id) {
|
||||
case 'QueryInput':
|
||||
sendQuery(query);
|
||||
break;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
useImperativeHandle(ref, () => ({
|
||||
submitQuery: () => {
|
||||
sendQuery(query);
|
||||
}
|
||||
}));
|
||||
|
||||
// If context status changes, show a warning if necessary. If it drops
|
||||
// back below the threshold, clear the warning trigger
|
||||
useEffect(() => {
|
||||
const context_used_percentage = Math.round(100 * contextStatus.context_used / contextStatus.max_context);
|
||||
if (context_used_percentage >= 90 && !contextWarningShown) {
|
||||
setSnack(`${context_used_percentage}% of context used. You may wish to start a new chat.`, "warning");
|
||||
setContextWarningShown(true);
|
||||
}
|
||||
if (context_used_percentage < 90 && contextWarningShown) {
|
||||
setContextWarningShown(false);
|
||||
}
|
||||
setContextUsedPercentage(context_used_percentage)
|
||||
}, [contextStatus, setContextWarningShown, contextWarningShown, setContextUsedPercentage, setSnack]);
|
||||
|
||||
const sendQuery = async (query: string) => {
|
||||
if (!query.trim()) return;
|
||||
|
||||
//setTab(0);
|
||||
|
||||
const userMessage: MessageData[] = [{ role: 'user', content: query }];
|
||||
|
||||
let scrolledToBottom;
|
||||
|
||||
// Add user message to conversation
|
||||
const newConversation: MessageList = [
|
||||
...conversation,
|
||||
...userMessage
|
||||
];
|
||||
setConversation(newConversation);
|
||||
scrollToBottom();
|
||||
|
||||
// Clear input
|
||||
setQuery('');
|
||||
|
||||
try {
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
setProcessing(true);
|
||||
// Create a unique ID for the processing message
|
||||
const processingId = Date.now().toString();
|
||||
|
||||
// Add initial processing message
|
||||
setConversation(prev => [
|
||||
...prev,
|
||||
{ role: 'assistant', content: 'Processing request...', id: processingId, isProcessing: true }
|
||||
]);
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 50);
|
||||
}
|
||||
|
||||
// Make the fetch request with proper headers
|
||||
const response = await fetch(connectionBase + `/api/chat/${sessionId}`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ role: 'user', content: query.trim() }),
|
||||
});
|
||||
|
||||
// We'll guess that the response will be around 500 tokens...
|
||||
const token_guess = 500;
|
||||
const estimate = Math.round(token_guess / lastEvalTPS + contextStatus.context_used / lastPromptTPS);
|
||||
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
setSnack(`Query sent. Response estimated in ${estimate}s.`, "info");
|
||||
startCountdown(Math.round(estimate));
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 50);
|
||||
}
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`Server responded with ${response.status}: ${response.statusText}`);
|
||||
}
|
||||
|
||||
if (!response.body) {
|
||||
throw new Error('Response body is null');
|
||||
}
|
||||
|
||||
// Set up stream processing with explicit chunking
|
||||
const reader = response.body.getReader();
|
||||
const decoder = new TextDecoder();
|
||||
let buffer = '';
|
||||
|
||||
while (true) {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) {
|
||||
break;
|
||||
}
|
||||
|
||||
const chunk = decoder.decode(value, { stream: true });
|
||||
|
||||
// Process each complete line immediately
|
||||
buffer += chunk;
|
||||
let lines = buffer.split('\n');
|
||||
buffer = lines.pop() || ''; // Keep incomplete line in buffer
|
||||
for (const line of lines) {
|
||||
if (!line.trim()) continue;
|
||||
|
||||
try {
|
||||
const update = JSON.parse(line);
|
||||
|
||||
// Force an immediate state update based on the message type
|
||||
if (update.status === 'processing') {
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
// Update processing message with immediate re-render
|
||||
setConversation(prev => prev.map(msg =>
|
||||
msg.id === processingId
|
||||
? { ...msg, content: update.message }
|
||||
: msg
|
||||
));
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 50);
|
||||
}
|
||||
|
||||
// Add a small delay to ensure React has time to update the UI
|
||||
await new Promise(resolve => setTimeout(resolve, 0));
|
||||
|
||||
} else if (update.status === 'done') {
|
||||
// Replace processing message with final result
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
setConversation(prev => [
|
||||
...prev.filter(msg => msg.id !== processingId),
|
||||
update.message
|
||||
]);
|
||||
const metadata = update.message.metadata;
|
||||
const evalTPS = metadata.eval_count * 10 ** 9 / metadata.eval_duration;
|
||||
const promptTPS = metadata.prompt_eval_count * 10 ** 9 / metadata.prompt_eval_duration;
|
||||
setLastEvalTPS(evalTPS ? evalTPS : 35);
|
||||
setLastPromptTPS(promptTPS ? promptTPS : 35);
|
||||
updateContextStatus();
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 50);
|
||||
}
|
||||
} else if (update.status === 'error') {
|
||||
// Show error
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
setConversation(prev => [
|
||||
...prev.filter(msg => msg.id !== processingId),
|
||||
{ role: 'assistant', type: 'error', content: update.message }
|
||||
]);
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 50);
|
||||
}
|
||||
}
|
||||
} catch (e) {
|
||||
setSnack("Error processing query", "error")
|
||||
console.error('Error parsing JSON:', e, line);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Process any remaining buffer content
|
||||
if (buffer.trim()) {
|
||||
try {
|
||||
const update = JSON.parse(buffer);
|
||||
|
||||
if (update.status === 'done') {
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
setConversation(prev => [
|
||||
...prev.filter(msg => msg.id !== processingId),
|
||||
update.message
|
||||
]);
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 500);
|
||||
}
|
||||
}
|
||||
} catch (e) {
|
||||
setSnack("Error processing query", "error")
|
||||
}
|
||||
}
|
||||
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
stopCountdown();
|
||||
setProcessing(false);
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 50);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Fetch error:', error);
|
||||
setSnack("Unable to process query", "error");
|
||||
scrolledToBottom = isScrolledToBottom();
|
||||
setConversation(prev => [
|
||||
...prev.filter(msg => !msg.isProcessing),
|
||||
{ role: 'assistant', type: 'error', content: `Error: ${error}` }
|
||||
]);
|
||||
setProcessing(false);
|
||||
stopCountdown();
|
||||
if (scrolledToBottom) {
|
||||
setTimeout(() => { scrollToBottom() }, 50);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<Box className="ConversationContainer" sx={{ display: "flex", flexDirection: "column", height: "100%", overflowY: "auto" }}>
|
||||
<Box className="Conversation" sx={{ flexGrow: 2, p: 1 }}>
|
||||
{conversation.map((message, index) => <Message key={index} submitQuery={submitQuery} message={message} />)}
|
||||
<Box sx={{
|
||||
display: "flex",
|
||||
flexDirection: "column",
|
||||
alignItems: "center",
|
||||
justifyContent: "center",
|
||||
mb: 1
|
||||
}}>
|
||||
<PropagateLoader
|
||||
size="10px"
|
||||
loading={processing}
|
||||
aria-label="Loading Spinner"
|
||||
data-testid="loader"
|
||||
/>
|
||||
{processing === true && countdown > 0 && (
|
||||
<Box
|
||||
sx={{
|
||||
pt: 1,
|
||||
fontSize: "0.7rem",
|
||||
color: "darkgrey"
|
||||
}}
|
||||
>Estimated response time: {countdown}s</Box>
|
||||
)}
|
||||
</Box>
|
||||
<Box sx={{ ml: "0.25rem", fontSize: "0.6rem", color: "darkgrey", display: "flex", flexDirection: "row", gap: 1, mt: "auto" }}>
|
||||
Context used: {contextUsedPercentage}% {contextStatus.context_used}/{contextStatus.max_context}
|
||||
{
|
||||
contextUsedPercentage >= 90 ? <Typography sx={{ fontSize: "0.6rem", color: "red" }}>WARNING: Context almost exhausted. You should start a new chat.</Typography>
|
||||
: (contextUsedPercentage >= 50 ? <Typography sx={{ fontSize: "0.6rem", color: "orange" }}>NOTE: Context is getting long. Queries will be slower, and the LLM may stop issuing tool calls.</Typography>
|
||||
: <></>)
|
||||
}
|
||||
</Box>
|
||||
</Box>
|
||||
<Box className="Query" sx={{ display: "flex", flexDirection: "row", p: 1 }}>
|
||||
<TextField
|
||||
variant="outlined"
|
||||
disabled={processing}
|
||||
fullWidth
|
||||
type="text"
|
||||
value={query}
|
||||
onChange={(e) => setQuery(e.target.value)}
|
||||
onKeyDown={handleKeyPress}
|
||||
placeholder="Enter your question..."
|
||||
id="QueryInput"
|
||||
/>
|
||||
<Tooltip title="Send">
|
||||
<Button sx={{ m: 1 }} variant="contained" onClick={() => { sendQuery(query); }}><SendIcon /></Button>
|
||||
</Tooltip>
|
||||
</Box>
|
||||
</Box>
|
||||
);
|
||||
});
|
||||
|
||||
export type {
|
||||
ConversationProps,
|
||||
ConversationHandle
|
||||
};
|
||||
|
||||
export {
|
||||
Conversation
|
||||
};
|
||||
@ -80,8 +80,8 @@ const DocumentViewer: React.FC<DocumentViewerProps> = ({
|
||||
/**
|
||||
* Trigger resume generation and update UI state
|
||||
*/
|
||||
const triggerGeneration = useCallback((jobDescription: string | undefined) => {
|
||||
if (jobDescription === undefined) {
|
||||
const triggerGeneration = useCallback((description: string | undefined) => {
|
||||
if (description === undefined) {
|
||||
setProcessing(undefined);
|
||||
setResume(undefined);
|
||||
setActiveTab(0);
|
||||
@ -89,7 +89,7 @@ const DocumentViewer: React.FC<DocumentViewerProps> = ({
|
||||
}
|
||||
setProcessing("resume");
|
||||
setTimeout(() => { setActiveTab(1); }, 250); // Switch to resume view on mobile
|
||||
generateResume(jobDescription);
|
||||
generateResume(description);
|
||||
}, [generateResume, setProcessing, setActiveTab, setResume]);
|
||||
|
||||
/**
|
||||
@ -108,6 +108,10 @@ const DocumentViewer: React.FC<DocumentViewerProps> = ({
|
||||
setTimeout(() => { setActiveTab(2); }, 250); // Switch to resume view on mobile
|
||||
}, [factCheck, setResume, setProcessing, setActiveTab, setFacts]);
|
||||
|
||||
useEffect(() => {
|
||||
setEditJobDescription(jobDescription);
|
||||
}, [jobDescription, setEditJobDescription]);
|
||||
|
||||
/**
|
||||
* Switch to resume tab when resume become available
|
||||
*/
|
||||
@ -157,10 +161,10 @@ const DocumentViewer: React.FC<DocumentViewerProps> = ({
|
||||
};
|
||||
|
||||
const renderJobDescriptionView = () => {
|
||||
const jobDescription = [];
|
||||
const children = [];
|
||||
|
||||
if (resume === undefined && processing === undefined) {
|
||||
jobDescription.push(
|
||||
children.push(
|
||||
<Document key="jobDescription" sx={{ display: "flex", flexGrow: 1 }} title="">
|
||||
<TextField
|
||||
variant="outlined"
|
||||
@ -181,10 +185,10 @@ const DocumentViewer: React.FC<DocumentViewerProps> = ({
|
||||
</Document>
|
||||
);
|
||||
} else {
|
||||
jobDescription.push(<MuiMarkdown key="jobDescription" >{editJobDescription}</MuiMarkdown>)
|
||||
children.push(<MuiMarkdown key="jobDescription" >{editJobDescription}</MuiMarkdown>)
|
||||
}
|
||||
|
||||
jobDescription.push(
|
||||
children.push(
|
||||
<Box key="jobActions" sx={{ display: "flex", justifyContent: "center", flexDirection: "row" }}>
|
||||
<IconButton
|
||||
sx={{ display: "flex", margin: 'auto 0px' }}
|
||||
@ -210,7 +214,7 @@ const DocumentViewer: React.FC<DocumentViewerProps> = ({
|
||||
</Box>
|
||||
);
|
||||
|
||||
return jobDescription;
|
||||
return children;
|
||||
}
|
||||
|
||||
/**
|
||||
@ -421,7 +425,7 @@ const ResumeActionCard: React.FC<ResumeActionCardProps> = ({ resume, processing,
|
||||
<Card sx={{ display: "flex", overflow: "auto", minHeight: "fit-content", p: 1, flexDirection: "column" }}>
|
||||
{resume !== undefined || processing === "resume" ? (
|
||||
<Typography>
|
||||
<b>NOTE:</b> As with all LLMs, hallucination is always a possibility. If the generated resume seems too good to be true, <b>Fact Check</b> or, expand the <b>LLM information for this query</b> section (at the end of the resume) and click the links in the <b>Top RAG</b> matches to view the relavent RAG source document to read the details. Or go back to 'Backstory' and ask a question.
|
||||
<b>NOTE:</b> As with all LLMs, hallucination is always a possibility. Click <b>Fact Check</b> to have the LLM analyze the generated resume vs. the actual resume.
|
||||
</Typography>
|
||||
) : (
|
||||
<Typography>
|
||||
|
||||
@ -1,12 +1,15 @@
|
||||
import { useState } from 'react';
|
||||
import { useState, useRef } from 'react';
|
||||
import Box from '@mui/material/Box';
|
||||
import Button from '@mui/material/Button';
|
||||
import IconButton from '@mui/material/IconButton';
|
||||
import CardContent from '@mui/material/CardContent';
|
||||
import CardActions from '@mui/material/CardActions';
|
||||
import Collapse from '@mui/material/Collapse';
|
||||
import Typography from '@mui/material/Typography';
|
||||
import ExpandMoreIcon from '@mui/icons-material/ExpandMore';
|
||||
import { ExpandMore } from './ExpandMore';
|
||||
import ContentCopyIcon from '@mui/icons-material/ContentCopy';
|
||||
import CheckIcon from '@mui/icons-material/Check';
|
||||
|
||||
import { MessageData, MessageMeta } from './MessageMeta';
|
||||
import { ChatBubble } from './ChatBubble';
|
||||
@ -38,6 +41,19 @@ const ChatQuery = ({ text, submitQuery }: ChatQueryInterface) => {
|
||||
|
||||
const Message = ({ message, submitQuery, isFullWidth }: MessageInterface) => {
|
||||
const [expanded, setExpanded] = useState<boolean>(false);
|
||||
const [copied, setCopied] = useState(false);
|
||||
const textFieldRef = useRef(null);
|
||||
|
||||
const handleCopy = () => {
|
||||
if (message === undefined || message.content === undefined) {
|
||||
return;
|
||||
}
|
||||
|
||||
navigator.clipboard.writeText(message.content.trim()).then(() => {
|
||||
setCopied(true);
|
||||
setTimeout(() => setCopied(false), 2000); // Reset after 2 seconds
|
||||
});
|
||||
};
|
||||
|
||||
const handleExpandClick = () => {
|
||||
setExpanded(!expanded);
|
||||
@ -47,15 +63,43 @@ const Message = ({ message, submitQuery, isFullWidth }: MessageInterface) => {
|
||||
return (<></>);
|
||||
}
|
||||
|
||||
if (message.content === undefined) {
|
||||
console.info("Message content is undefined");
|
||||
return (<></>);
|
||||
}
|
||||
|
||||
const formattedContent = message.content.trim();
|
||||
|
||||
return (
|
||||
<ChatBubble isFullWidth={isFullWidth} role={message.role} sx={{ flexGrow: 1, pb: message.metadata ? 0 : "8px", m: 0, mb: 1, mt: 1, overflowX: "auto" }}>
|
||||
<CardContent>
|
||||
<ChatBubble className="Message" isFullWidth={isFullWidth} role={message.role} sx={{ flexGrow: 1, pb: message.metadata ? 0 : "8px", m: 0, mb: 1, mt: 1, overflowX: "auto" }}>
|
||||
<CardContent ref={textFieldRef} sx={{ position: "relative", display: "flex", flexDirection: "column", overflowX: "auto" }}>
|
||||
<IconButton
|
||||
onClick={handleCopy}
|
||||
sx={{
|
||||
position: 'absolute',
|
||||
top: 8,
|
||||
right: 8,
|
||||
bgcolor: 'background.paper',
|
||||
'&:hover': { bgcolor: 'action.hover' },
|
||||
}}
|
||||
size="small"
|
||||
color={copied ? "success" : "default"}
|
||||
>
|
||||
{copied ? <CheckIcon /> : <ContentCopyIcon />}
|
||||
</IconButton>
|
||||
|
||||
{message.role !== 'user' ?
|
||||
<StyledMarkdown {...{ content: formattedContent, submitQuery }} />
|
||||
<StyledMarkdown
|
||||
className="MessageContent"
|
||||
sx={{ display: "flex", color: 'text.secondary' }}
|
||||
|
||||
{...{ content: formattedContent, submitQuery }} />
|
||||
:
|
||||
<Typography variant="body2" sx={{ color: 'text.secondary' }}>
|
||||
<Typography
|
||||
className="MessageContent"
|
||||
ref={textFieldRef}
|
||||
variant="body2"
|
||||
sx={{ display: "flex", color: 'text.secondary' }}>
|
||||
{message.content}
|
||||
</Typography>
|
||||
}
|
||||
@ -86,6 +130,7 @@ export type {
|
||||
MessageInterface,
|
||||
MessageList,
|
||||
};
|
||||
|
||||
export {
|
||||
Message,
|
||||
ChatQuery,
|
||||
|
||||
@ -100,7 +100,7 @@ const MessageMeta = ({ metadata }: MessageMetaInterface) => {
|
||||
</Accordion>
|
||||
}
|
||||
{
|
||||
metadata.rag.name !== undefined &&
|
||||
metadata?.rag?.name !== undefined &&
|
||||
<Accordion>
|
||||
<AccordionSummary expandIcon={<ExpandMoreIcon />}>
|
||||
<Box sx={{ fontSize: "0.8rem" }}>
|
||||
|
||||
@ -1,13 +1,11 @@
|
||||
import { useState, useCallback, } from 'react';
|
||||
import { useState, useCallback, useEffect } from 'react';
|
||||
import Box from '@mui/material/Box';
|
||||
import { SeverityType } from './Snack';
|
||||
import { ContextStatus } from './ContextStatus';
|
||||
import { MessageData } from './MessageMeta';
|
||||
import { MessageData, MessageMetadata } from './MessageMeta';
|
||||
import { DocumentViewer } from './DocumentViewer';
|
||||
|
||||
interface ResumeBuilderProps {
|
||||
scrollToBottom: () => void,
|
||||
isScrolledToBottom: () => boolean,
|
||||
setProcessing: (processing: boolean) => void,
|
||||
processing: boolean,
|
||||
connectionBase: string,
|
||||
@ -17,14 +15,20 @@ interface ResumeBuilderProps {
|
||||
setResume: (resume: MessageData | undefined) => void,
|
||||
facts: MessageData | undefined,
|
||||
setFacts: (facts: MessageData | undefined) => void,
|
||||
jobDescription: string | undefined,
|
||||
setJobDescription: (jobDescription: string | undefined) => void
|
||||
};
|
||||
|
||||
const ResumeBuilder = ({ jobDescription, setJobDescription, facts, setFacts, resume, setResume, setProcessing, processing, connectionBase, sessionId, setSnack }: ResumeBuilderProps) => {
|
||||
type Resume = {
|
||||
resume: MessageData | undefined,
|
||||
fact_check: MessageData | undefined,
|
||||
job_description: string,
|
||||
metadata: MessageMetadata
|
||||
};
|
||||
|
||||
const ResumeBuilder = ({ facts, setFacts, resume, setResume, setProcessing, processing, connectionBase, sessionId, setSnack }: ResumeBuilderProps) => {
|
||||
const [lastEvalTPS, setLastEvalTPS] = useState<number>(35);
|
||||
const [lastPromptTPS, setLastPromptTPS] = useState<number>(430);
|
||||
const [contextStatus, setContextStatus] = useState<ContextStatus>({ context_used: 0, max_context: 0 });
|
||||
const [jobDescription, setJobDescription] = useState<string | undefined>(undefined);
|
||||
|
||||
const updateContextStatus = useCallback(() => {
|
||||
fetch(connectionBase + `/api/context-status/${sessionId}`, {
|
||||
@ -43,6 +47,49 @@ const ResumeBuilder = ({ jobDescription, setJobDescription, facts, setFacts, res
|
||||
});
|
||||
}, [setContextStatus, connectionBase, setSnack, sessionId]);
|
||||
|
||||
// If the jobDescription and resume have not been set, fetch them from the server
|
||||
useEffect(() => {
|
||||
if (sessionId === undefined) {
|
||||
return;
|
||||
}
|
||||
if (jobDescription !== undefined) {
|
||||
return;
|
||||
}
|
||||
const fetchResume = async () => {
|
||||
try {
|
||||
// Make the fetch request with proper headers
|
||||
const response = await fetch(connectionBase + `/api/resume/${sessionId}`, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
});
|
||||
if (!response.ok) {
|
||||
throw Error();
|
||||
}
|
||||
const data: Resume[] = await response.json();
|
||||
if (data.length) {
|
||||
const lastResume = data[data.length - 1];
|
||||
console.log(lastResume);
|
||||
setJobDescription(lastResume['job_description']);
|
||||
setResume(lastResume.resume);
|
||||
if (lastResume['fact_check'] !== undefined && lastResume['fact_check'] !== null) {
|
||||
lastResume['fact_check'].role = 'info';
|
||||
setFacts(lastResume['fact_check'])
|
||||
} else {
|
||||
setFacts(undefined)
|
||||
}
|
||||
}
|
||||
} catch (error: any) {
|
||||
setSnack("Unable to fetch resume", "error");
|
||||
console.error(error);
|
||||
}
|
||||
}
|
||||
|
||||
fetchResume();
|
||||
}, [sessionId, resume, jobDescription, setResume, setJobDescription, setSnack, setFacts, connectionBase]);
|
||||
|
||||
// const startCountdown = (seconds: number) => {
|
||||
// if (timerRef.current) clearInterval(timerRef.current);
|
||||
// setCountdown(seconds);
|
||||
@ -75,8 +122,8 @@ const ResumeBuilder = ({ jobDescription, setJobDescription, facts, setFacts, res
|
||||
return (<></>);
|
||||
}
|
||||
|
||||
const generateResume = async (jobDescription: string) => {
|
||||
if (!jobDescription.trim()) return;
|
||||
const generateResume = async (description: string) => {
|
||||
if (!description.trim()) return;
|
||||
setResume(undefined);
|
||||
setFacts(undefined);
|
||||
|
||||
@ -93,7 +140,7 @@ const ResumeBuilder = ({ jobDescription, setJobDescription, facts, setFacts, res
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ content: jobDescription.trim() }),
|
||||
body: JSON.stringify({ content: description.trim() }),
|
||||
});
|
||||
|
||||
// We'll guess that the response will be around 500 tokens...
|
||||
|
||||
@ -5,12 +5,13 @@ import { Link } from '@mui/material';
|
||||
import { ChatQuery } from './Message';
|
||||
|
||||
interface StyledMarkdownProps {
|
||||
className?: string,
|
||||
content: string,
|
||||
submitQuery?: (query: string) => void,
|
||||
[key: string]: any, // For any additional props
|
||||
};
|
||||
|
||||
const StyledMarkdown: React.FC<StyledMarkdownProps> = ({ content, submitQuery, ...props }) => {
|
||||
const StyledMarkdown: React.FC<StyledMarkdownProps> = ({ className, content, submitQuery, ...props }) => {
|
||||
const theme = useTheme();
|
||||
|
||||
let options: any = {
|
||||
@ -42,7 +43,7 @@ const StyledMarkdown: React.FC<StyledMarkdownProps> = ({ content, submitQuery, .
|
||||
};
|
||||
}
|
||||
|
||||
return <MuiMarkdown {...options} children={content} {...props}/>;
|
||||
return <MuiMarkdown className={className} {...options} children={content} {...props} />;
|
||||
};
|
||||
|
||||
export { StyledMarkdown };
|
||||
@ -307,7 +307,7 @@ const VectorVisualizer: React.FC<VectorVisualizerProps> = ({ setSnack, connectio
|
||||
</Card>
|
||||
{ queryEmbedding !== undefined &&
|
||||
<Card sx={{ display: 'flex', flexDirection: 'column', justifyContent: 'center', alignItems: 'center', mt: 1, pb: 0 }}>
|
||||
<Typography variant="h6" sx={{ p: 1, pt: 0 }}>
|
||||
<Typography variant="h6" sx={{ p: 1, pt: 0, maxHeight: '5rem', overflow: 'auto' }}>
|
||||
Query: {queryEmbedding.query}
|
||||
</Typography>
|
||||
</Card>
|
||||
|
||||
@ -136,7 +136,17 @@ DEFAULT_HISTORY_LENGTH=5
|
||||
|
||||
# %%
|
||||
# Globals
|
||||
NAME = "James Ketrenos"
|
||||
context_tag = "INFO"
|
||||
|
||||
resume_intro = f"""
|
||||
As an AI/ML professional specializing in creating custom solutions to new problem domains, {NAME} developed a custom
|
||||
language model applications that streamline information processing and content generation. This tailored resume
|
||||
was created using a Retrieval-Augmented Generation system I built to efficiently match my relevant experience
|
||||
with your specific needs—demonstrating both my technical capabilities and commitment to intelligent resource
|
||||
optimization.
|
||||
"""
|
||||
|
||||
system_message = f"""
|
||||
Launched on {DateTime()}.
|
||||
|
||||
@ -163,16 +173,20 @@ When answering queries, follow these steps:
|
||||
3. Use the [JOB DESCRIPTION] provided to guide the focus, tone, and relevant skills or experience to highlight from the [WORK HISTORY].
|
||||
4. Identify and emphasisze the experiences, achievements, and responsibilities from the [WORK HISTORY] that best align with the [JOB DESCRIPTION].
|
||||
5. Do not use the [JOB DESCRIPTION] skills unless listed in [WORK HISTORY].
|
||||
6. Do not include any information unless it is provided in [WORK HISTORY] or [INTRO].
|
||||
7. Use the [INTRO] to highlight the use of AI in generating this resume.
|
||||
8. Use the [WORK HISTORY] to create a polished, professional resume.
|
||||
9. Do not list any locations in the resume.
|
||||
|
||||
Structure the resume professionally with the following sections where applicable:
|
||||
|
||||
* "Name: Use full name."
|
||||
* "Professional Summary: A 2-4 sentence overview tailored to the job."
|
||||
* "Professional Summary: A 2-4 sentence overview tailored to the job, using [INTRO] to highlight the use of AI in generating this resume."
|
||||
* "Skills: A bullet list of key skills derived from the work history and relevant to the job."
|
||||
* Professional Experience: A detailed list of roles, achievements, and responsibilities from the work history that relate to the job."
|
||||
* Education: Include only if available in the work history."
|
||||
|
||||
Do not include any information unless it is provided in [WORK HISTORY].
|
||||
Do not include any information unless it is provided in [WORK HISTORY] or [INTRO].
|
||||
Ensure the langauge is clear, concise, and aligned with industry standards for professional resumes.
|
||||
"""
|
||||
|
||||
@ -372,9 +386,18 @@ class WebServer:
|
||||
self.file_watcher = None
|
||||
self.observer = None
|
||||
|
||||
self.ssl_enabled = os.path.exists(defines.key_path) and os.path.exists(defines.cert_path)
|
||||
|
||||
if self.ssl_enabled:
|
||||
allow_origins=["https://battle-linux.ketrenos.com:3000"]
|
||||
else:
|
||||
allow_origins=["http://battle-linux.ketrenos.com:3000"]
|
||||
|
||||
logging.info(f"Allowed origins: {allow_origins}")
|
||||
|
||||
self.app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["http://battle-linux.ketrenos.com:3000"],
|
||||
allow_origins=allow_origins,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
@ -1053,14 +1076,15 @@ class WebServer:
|
||||
if chroma_results:
|
||||
rag_docs.extend(chroma_results["documents"])
|
||||
metadata["rag"] = { "name": rag["name"], **chroma_results }
|
||||
preamble = f"The current time is {DateTime()}\n"
|
||||
preamble = f"""[WORK HISTORY]:\n"""
|
||||
preamble = f"[INTRO]\n{resume_intro}\n[/INTRO]\n"
|
||||
preamble += f"""[WORK HISTORY]:\n"""
|
||||
for doc in rag_docs:
|
||||
preamble += f"{doc}\n"
|
||||
resume["rag"] += f"{doc}\n"
|
||||
preamble += f"\n[/WORK HISTORY]\n"
|
||||
|
||||
content = f"{preamble}\nUse the above WORK HISTORY to create the resume for this JOB DESCRIPTION. Do not use the JOB DESCRIPTION skills as skills the user posseses unless listed in WORK HISTORY:\n[JOB DESCRIPTION]\n{content}\n[/JOB DESCRIPTION]\n"
|
||||
content = f"""{preamble}\n
|
||||
Use the above [WORK HISTORY] and [INTRO] to create the resume for this [JOB DESCRIPTION]. Do not use the [JOB DESCRIPTION] in the generated resume unless the [WORK HISTORY] mentions them:\n[JOB DESCRIPTION]\n{content}\n[/JOB DESCRIPTION]\n"""
|
||||
|
||||
try:
|
||||
# Estimate token length of new messages
|
||||
@ -1152,7 +1176,22 @@ class WebServer:
|
||||
|
||||
def run(self, host="0.0.0.0", port=WEB_PORT, **kwargs):
|
||||
try:
|
||||
uvicorn.run(self.app, host=host, port=port)
|
||||
if self.ssl_enabled:
|
||||
logging.info(f"Starting web server at https://{host}:{port}")
|
||||
uvicorn.run(
|
||||
self.app,
|
||||
host=host,
|
||||
port=port,
|
||||
ssl_keyfile=defines.key_path,
|
||||
ssl_certfile=defines.cert_path
|
||||
)
|
||||
else:
|
||||
logging.info(f"Starting web server at http://{host}:{port}")
|
||||
uvicorn.run(
|
||||
self.app,
|
||||
host=host,
|
||||
port=port
|
||||
)
|
||||
except KeyboardInterrupt:
|
||||
if self.observer:
|
||||
self.observer.stop()
|
||||
@ -1181,7 +1220,6 @@ def main():
|
||||
# print(f"Vectorstore created with {collection.count()} documents")
|
||||
|
||||
web_server = WebServer(logging, client, model)
|
||||
logging.info(f"Starting web server at http://{args.web_host}:{args.web_port}")
|
||||
|
||||
web_server.run(host=args.web_host, port=args.web_port, use_reloader=False)
|
||||
|
||||
|
||||
@ -11,4 +11,7 @@ max_context = 2048*8*2
|
||||
doc_dir = "/opt/backstory/docs/"
|
||||
session_dir = "/opt/backstory/sessions"
|
||||
static_content = '/opt/backstory/frontend/deployed'
|
||||
resume_doc = '/opt/backstory/docs/resume/generic.txt'
|
||||
resume_doc = '/opt/backstory/docs/resume/generic.txt'
|
||||
# Only used for testing; backstory-prod will not use this
|
||||
key_path = '/opt/backstory/src/key.pem'
|
||||
cert_path = '/opt/backstory/src/cert.pem'
|
||||
Loading…
x
Reference in New Issue
Block a user