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296bbfa6 by Jerald Lim
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opensource

1 parent 34d94fa0
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Showing 5 changed files with 453 additions and 301 deletions
client/package-lock.json
......@@ -2237,6 +2237,21 @@
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}
},
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......@@ -2267,6 +2282,11 @@
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......@@ -4746,13 +4766,13 @@
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......@@ -4776,34 +4796,6 @@
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......@@ -5154,6 +5146,34 @@
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......@@ -6152,21 +6172,6 @@
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......@@ -6178,11 +6183,6 @@
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......@@ -7533,21 +7533,6 @@
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......@@ -7572,11 +7557,6 @@
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......@@ -7609,6 +7589,21 @@
"url": "https://github.com/chalk/supports-color?sponsor=1"
}
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......@@ -7665,6 +7660,11 @@
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......@@ -8148,6 +8148,29 @@
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......@@ -8192,6 +8215,11 @@
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......@@ -11983,9 +12011,9 @@
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......@@ -12373,21 +12401,6 @@
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......@@ -12399,11 +12412,6 @@
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......@@ -15389,6 +15397,34 @@
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......@@ -16473,6 +16509,19 @@
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......@@ -16796,21 +16845,6 @@
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......@@ -16822,11 +16856,6 @@
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......@@ -16899,21 +16928,6 @@
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......@@ -16925,11 +16939,6 @@
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"resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.0.0.tgz",
......@@ -17222,21 +17231,6 @@
"node": ">=10.0.0"
}
},
"node_modules/workbox-build/node_modules/ajv": {
"version": "8.12.0",
"resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
"integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
"dependencies": {
"fast-deep-equal": "^3.1.1",
"json-schema-traverse": "^1.0.0",
"require-from-string": "^2.0.2",
"uri-js": "^4.2.2"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/epoberezkin"
}
},
"node_modules/workbox-build/node_modules/fs-extra": {
"version": "9.1.0",
"resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-9.1.0.tgz",
......@@ -17251,11 +17245,6 @@
"node": ">=10"
}
},
"node_modules/workbox-build/node_modules/json-schema-traverse": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz",
"integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug=="
},
"node_modules/workbox-build/node_modules/source-map": {
"version": "0.8.0-beta.0",
"resolved": "https://registry.npmjs.org/source-map/-/source-map-0.8.0-beta.0.tgz",
......
client/src/App.js
......@@ -28,9 +28,12 @@ function App() {
const [chatLogTurbo, setChatLogTurbo] = useState(defaultChatLogTurbo);
//
const [chatLogOpenSource, setChatLogOpenSource] = useState([]);
function clearChat(){
setChatLog([]);
setChatLogTurbo(defaultChatLogTurbo);
setChatLogOpenSource([]);
setChatInput("");
setStartedInteraction(false);
}
......@@ -94,12 +97,20 @@ function App() {
setChatLog(prevChatLog => [...prevChatLog, userMessage]);
var messages = chatLogNew.map((message) => { if(message.user !== 'me') return message.message }).join("\n")
if(currentModel == GPTTurbo || currentModel == GPTTurbo0301) {
if(currentModel === GPTTurbo || currentModel === GPTTurbo0301) {
// "gpt-3.5-turbo"
let chatLogTurboNew = [...chatLogTurbo, { role: "user", content: chatInput }];
setChatLogTurbo(chatLogTurboNew);
messages = JSON.stringify(chatLogTurboNew);
}
if(currentModel === "openchat_3.5-GPTQ" || currentModel === "zephyr-7B-beta-GPTQ") {
// "gpt-3.5-turbo"
let chatLogOpenSourceNew = [...chatLogOpenSource, { role: "user", content: chatInput }];
setChatLogOpenSource(chatLogOpenSourceNew);
messages = JSON.stringify(chatLogOpenSourceNew);
}
let intervalId = startInterval();
try {
const response = await fetch(process.env.REACT_APP_SERVER_URL + "/api", {
......@@ -117,6 +128,7 @@ function App() {
const parsedData = data.message.trim();
// "gpt-3.5-turbo"
let chatLogTurboNew = chatLogTurbo;
let chatLogOpenSourceNew = chatLogOpenSource;
if(data.success === false) {
setChatLog(prevChatLog => {
const lastMsg = prevChatLog[prevChatLog.length - 2];
......@@ -129,7 +141,11 @@ function App() {
}
chatLogTurboNew.push({ role: "user", content: userModifiedInput });
chatLogTurboNew.push({ role: "assistant", content: parsedData });
chatLogOpenSourceNew.push({ role: "user", content: userModifiedInput });
chatLogOpenSourceNew.push({ role: "assistant", content: parsedData });
setChatLogTurbo(chatLogTurboNew);
setChatLogOpenSource(chatLogOpenSourceNew);
//
clearInterval(intervalId);
const programmingKeywords = ['code', 'application', 'controller', 'rails' , 'PHP', 'java', 'javascript', 'script', 'console', 'python', 'programming', 'table'];
......
env-template
OPENAI_API_ORG=
OPENAI_API_KEY=
\ No newline at end of file
OPENAI_API_KEY=
OPENSOURCE_MODELS="openchat_3.5-GPTQ,zephyr-7B-beta-GPTQ"
OPENSOURCE_ENDPOINTS={"openchat_3.5-GPTQ": "https://openchat.llm.ai-pro.org/v1", "zephyr-7B-beta-GPTQ": "https://zephyr.llm.ai-pro.org/v1"}
\ No newline at end of file
......
index.js
......@@ -49,8 +49,8 @@ const tiktokenModels = [
// Open AI Configuration
// console.log(process.env.OPENAI_API_ORG)
const configuration = new Configuration({
organization: process.env.OPENAI_API_ORG,
apiKey: process.env.OPENAI_API_KEY,
organization: process.env.OPENAI_API_ORG,
apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
......@@ -73,158 +73,235 @@ app.use(rateLimiter)
// Primary Open AI Route
app.post('/api', async (req, res) => {
const { message, currentModel, temperature } = req.body;
if(currentModel == "gpt-3.5-turbo" || currentModel == "gpt-3.5-turbo-0301") {
runGPTTurbo(req,res);
return;
}
let greetingPrompt = 'Hello, how can I assist you?'
const greetings = ['hi', 'hello', 'hey']
if (greetings.some((greeting) => message.toLowerCase().includes(greeting))) {
greetingPrompt = 'Hello, how can I help you today?'
}
let query_prompt = `${greetingPrompt}\n${message}`;
str_length = req.body.message.split(' ').length;
if (str_length>=800){
arr_body = req.body.message.split("\n");
if (arr_body.length>=4){
var i = arr_body.length-2
while (i--) {
arr_body.splice(i, 1);
}
query_prompt = arr_body.join("\n")
}
}
const moderation = await axios.post("https://api.openai.com/v1/moderations", {
const { message, currentModel, temperature } = req.body;
if (currentModel == "gpt-3.5-turbo" || currentModel == "gpt-3.5-turbo-0301") {
runGPTTurbo(req, res);
return;
}
if (currentModel == "openchat_3.5-GPTQ" || currentModel == "zephyr-7B-beta-GPTQ") {
runOpensource(req, res);
return;
}
let greetingPrompt = 'Hello, how can I assist you?'
const greetings = ['hi', 'hello', 'hey']
if (greetings.some((greeting) => message.toLowerCase().includes(greeting))) {
greetingPrompt = 'Hello, how can I help you today?'
}
let query_prompt = `${greetingPrompt}\n${message}`;
str_length = req.body.message.split(' ').length;
if (str_length >= 800) {
arr_body = req.body.message.split("\n");
if (arr_body.length >= 4) {
var i = arr_body.length - 2
while (i--) {
arr_body.splice(i, 1);
}
query_prompt = arr_body.join("\n")
}
}
const moderation = await axios.post("https://api.openai.com/v1/moderations", {
input: query_prompt
}, { headers: { 'content-type': 'application/json', 'Authorization': `Bearer ${process.env.OPENAI_API_KEY}` } });
if(moderation.data.results[0].flagged) {
res.json({
success: false,
message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
});
res.end();
return;
}
try {
const response = await openai.createCompletion({
model: `${currentModel}`,// "text-davinci-003",
prompt: query_prompt,
max_tokens: 3000,
temperature,
});
let input = response.data.choices[0].text;
let usage = {};
let enc = null;
try {
enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
usage.prompt_tokens = (enc.encode(query_prompt)).length;
usage.completion_tokens = (enc.encode(input)).length;
usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
} catch (e) {
console.log('Error encoding prompt text', e);
}
res.json({
usage: usage,
message: anchorme({
input,
options: {
attributes: {
target: "_blank"
},
}
})
})
} catch (e) {
let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
if (error_msg.indexOf('maximum context length')>=0){
res.json({
message: "The output for your prompt is too long for us to process. Please reduce your prompt and try again.",
})
}else{
console.log(e.response);
}
} finally {
// console.log('We do cleanup here');
}
if (moderation.data.results[0].flagged) {
res.json({
success: false,
message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
});
res.end();
return;
}
try {
const response = await openai.createCompletion({
model: `${currentModel}`,// "text-davinci-003",
prompt: query_prompt,
max_tokens: 3000,
temperature,
});
let input = response.data.choices[0].text;
let usage = {};
let enc = null;
try {
enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
usage.prompt_tokens = (enc.encode(query_prompt)).length;
usage.completion_tokens = (enc.encode(input)).length;
usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
} catch (e) {
console.log('Error encoding prompt text', e);
}
res.json({
usage: usage,
message: anchorme({
input,
options: {
attributes: {
target: "_blank"
},
}
})
})
} catch (e) {
let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
if (error_msg.indexOf('maximum context length') >= 0) {
res.json({
message: "The output for your prompt is too long for us to process. Please reduce your prompt and try again.",
})
} else {
console.log(e.response);
}
} finally {
// console.log('We do cleanup here');
}
});
async function runGPTTurbo(req, res) {
// "gpt-3.5-turbo"
const { message, currentModel, temperature } = req.body;
var input = '';
const message_history = JSON.parse(message);
const query_prompt = message_history.length ? message_history[message_history.length - 1].content : "";
const moderation = await axios.post("https://api.openai.com/v1/moderations", {
// "gpt-3.5-turbo"
const { message, currentModel, temperature } = req.body;
var input = '';
const message_history = JSON.parse(message);
const query_prompt = message_history.length ? message_history[message_history.length - 1].content : "";
const moderation = await axios.post("https://api.openai.com/v1/moderations", {
input: query_prompt
}, { headers: { 'content-type': 'application/json', 'Authorization': `Bearer ${process.env.OPENAI_API_KEY}` } });
if(moderation.data.results[0].flagged) {
res.json({
success: false,
message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
});
res.end();
return;
}
try {
const response = await openai.createChatCompletion({
model: `${currentModel}`,
messages: JSON.parse(message),
max_tokens: 3000,
temperature
});
input = response.data.choices[0].message.content
} catch (e) {
let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
if (error_msg.indexOf('maximum context length')>=0){
input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
}else{
console.log(e.response);
}
} finally {
let usage = {};
let enc = null;
try {
enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
usage.prompt_tokens = (enc.encode(query_prompt)).length;
usage.completion_tokens = (enc.encode(input)).length;
usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
} catch (e) {
console.log('Error encoding prompt text', e);
}
res.json({
prompt: JSON.parse(message),
usage: usage,
message: anchorme({
input,
options: {
attributes: {
target: "_blank"
},
}
})
});
return;
}
if (moderation.data.results[0].flagged) {
res.json({
success: false,
message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
});
res.end();
return;
}
try {
const response = await openai.createChatCompletion({
model: `${currentModel}`,
messages: JSON.parse(message),
max_tokens: 3000,
temperature
});
input = response.data.choices[0].message.content
} catch (e) {
let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
if (error_msg.indexOf('maximum context length') >= 0) {
input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
} else {
console.log(e.response);
}
} finally {
let usage = {};
let enc = null;
try {
enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
usage.prompt_tokens = (enc.encode(query_prompt)).length;
usage.completion_tokens = (enc.encode(input)).length;
usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
} catch (e) {
console.log('Error encoding prompt text', e);
}
res.json({
prompt: JSON.parse(message),
usage: usage,
message: anchorme({
input,
options: {
attributes: {
target: "_blank"
},
}
})
});
return;
}
}
const get_endpoint_api_url = (currentModel) => {
const OPENSOURCE_ENDPOINTS = process.env.OPENSOURCE_ENDPOINTS;
const endpoints = JSON.parse(OPENSOURCE_ENDPOINTS);
const endpoint_api_url = endpoints?.[currentModel];
return endpoint_api_url
}
async function runOpensource(req, res) {
const { message, currentModel, temperature } = req.body;
var input = '';
const message_history = JSON.parse(message);
const query_prompt = message_history.length ? message_history[message_history.length - 1].content : "";
try {
const endpoint_api_url = get_endpoint_api_url(currentModel);
console.log('endpoint_api_url', endpoint_api_url);
const response = await axios.post(endpoint_api_url + '/chat/completions', {
messages: JSON.parse(message),
temperature
}, {
headers: {
'Content-Type': 'application/json',
// 'Authorization': `Bearer ${process.env.OPENSOURCE_API_KEY}`
},
});
console.log(" zephyr response", response.data.choices[0])
input = response.data.choices[0].message.content
} catch (e) {
let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
if (error_msg.indexOf('maximum context length') >= 0) {
input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
} else {
console.log(e.response);
}
} finally {
let usage = {};
let enc = null;
try {
enc = encodingForModel('gpt-3.5-turbo');
usage.prompt_tokens = (enc.encode(query_prompt)).length;
usage.completion_tokens = (enc.encode(input)).length;
usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
} catch (e) {
console.log('Error encoding prompt text', e);
}
res.json({
prompt: JSON.parse(message),
usage: usage,
message: anchorme({
input,
options: {
attributes: {
target: "_blank"
},
}
})
});
return;
}
}
// Get Models Route
app.get('/models', async (req, res) => {
const response = await openai.listEngines();
res.json({
models: response.data
})
const response = await openai.listEngines();
const models = response.data;
const opensource_models = process.env.OPENSOURCE_MODELS ? process.env.OPENSOURCE_MODELS.split(',') : [];
opensource_models.forEach((model) => {
models.data.push({
id: model,
});
})
res.json({
models
})
});
// Start the server
app.listen(port, () => {
console.log(`Example app listening at http://localhost:${port}`)
console.log(`Example app listening at http://localhost:${port}`)
});
\ No newline at end of file
......
package-lock.json
......@@ -10,11 +10,15 @@
"license": "ISC",
"dependencies": {
"anchorme": "^2.1.2",
"axios": "^1.5.1",
"body-parser": "^1.20.1",
"cookie": "0.5.0",
"cookie-parser": "1.4.6",
"cors": "^2.8.5",
"dotenv": "^16.0.3",
"express": "^4.18.2",
"express-rate-limit": "^6.7.0",
"js-tiktoken": "1.0.7",
"morgan": "^1.10.0",
"openai": "^3.2.0"
}
......@@ -47,13 +51,34 @@
"integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
},
"node_modules/axios": {
"version": "0.26.1",
"resolved": "https://registry.npmjs.org/axios/-/axios-0.26.1.tgz",
"integrity": "sha512-fPwcX4EvnSHuInCMItEhAGnaSEXRBjtzh9fOtsE6E1G6p7vl7edEeZe11QHf18+6+9gR5PbKV/sGKNaD8YaMeA==",
"version": "1.6.2",
"resolved": "https://registry.npmjs.org/axios/-/axios-1.6.2.tgz",
"integrity": "sha512-7i24Ri4pmDRfJTR7LDBhsOTtcm+9kjX5WiY1X3wIisx6G9So3pfMkEiU7emUBe46oceVImccTEM3k6C5dbVW8A==",
"dependencies": {
"follow-redirects": "^1.14.8"
"follow-redirects": "^1.15.0",
"form-data": "^4.0.0",
"proxy-from-env": "^1.1.0"
}
},
"node_modules/base64-js": {
"version": "1.5.1",
"resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
"integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
"funding": [
{
"type": "github",
"url": "https://github.com/sponsors/feross"
},
{
"type": "patreon",
"url": "https://www.patreon.com/feross"
},
{
"type": "consulting",
"url": "https://feross.org/support"
}
]
},
"node_modules/basic-auth": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/basic-auth/-/basic-auth-2.0.1.tgz",
......@@ -151,6 +176,26 @@
"node": ">= 0.6"
}
},
"node_modules/cookie-parser": {
"version": "1.4.6",
"resolved": "https://registry.npmjs.org/cookie-parser/-/cookie-parser-1.4.6.tgz",
"integrity": "sha512-z3IzaNjdwUC2olLIB5/ITd0/setiaFMLYiZJle7xg5Fe9KWAceil7xszYfHHBtDFYLSgJduS2Ty0P1uJdPDJeA==",
"dependencies": {
"cookie": "0.4.1",
"cookie-signature": "1.0.6"
},
"engines": {
"node": ">= 0.8.0"
}
},
"node_modules/cookie-parser/node_modules/cookie": {
"version": "0.4.1",
"resolved": "https://registry.npmjs.org/cookie/-/cookie-0.4.1.tgz",
"integrity": "sha512-ZwrFkGJxUR3EIoXtO+yVE69Eb7KlixbaeAWfBQB9vVsNn/o+Yw69gBWSSDK825hQNdN+wF8zELf3dFNl/kxkUA==",
"engines": {
"node": ">= 0.6"
}
},
"node_modules/cookie-signature": {
"version": "1.0.6",
"resolved": "https://registry.npmjs.org/cookie-signature/-/cookie-signature-1.0.6.tgz",
......@@ -431,6 +476,14 @@
"node": ">= 0.10"
}
},
"node_modules/js-tiktoken": {
"version": "1.0.7",
"resolved": "https://registry.npmjs.org/js-tiktoken/-/js-tiktoken-1.0.7.tgz",
"integrity": "sha512-biba8u/clw7iesNEWLOLwrNGoBP2lA+hTaBLs/D45pJdUPFXyxD6nhcDVtADChghv4GgyAiMKYMiRx7x6h7Biw==",
"dependencies": {
"base64-js": "^1.5.1"
}
},
"node_modules/media-typer": {
"version": "0.3.0",
"resolved": "https://registry.npmjs.org/media-typer/-/media-typer-0.3.0.tgz",
......@@ -565,6 +618,14 @@
"form-data": "^4.0.0"
}
},
"node_modules/openai/node_modules/axios": {
"version": "0.26.1",
"resolved": "https://registry.npmjs.org/axios/-/axios-0.26.1.tgz",
"integrity": "sha512-fPwcX4EvnSHuInCMItEhAGnaSEXRBjtzh9fOtsE6E1G6p7vl7edEeZe11QHf18+6+9gR5PbKV/sGKNaD8YaMeA==",
"dependencies": {
"follow-redirects": "^1.14.8"
}
},
"node_modules/parseurl": {
"version": "1.3.3",
"resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",
......@@ -590,6 +651,11 @@
"node": ">= 0.10"
}
},
"node_modules/proxy-from-env": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
"integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="
},
"node_modules/qs": {
"version": "6.11.0",
"resolved": "https://registry.npmjs.org/qs/-/qs-6.11.0.tgz",
......
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