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gpt4all.js
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"use strict";
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (g && (g = 0, op[0] && (_ = 0)), _) try {
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
exports.__esModule = true;
exports.GPT4All = void 0;
var child_process_1 = require("child_process");
var util_1 = require("util");
var fs = require("fs");
var os = require("os");
var axios_1 = require("axios");
var ProgressBar = require("progress");
var GPT4All = /** @class */ (function () {
function GPT4All(model, forceDownload, decoderConfig) {
if (model === void 0) { model = 'gpt4all-lora-quantized'; }
if (forceDownload === void 0) { forceDownload = false; }
if (decoderConfig === void 0) { decoderConfig = {}; }
this.bot = null;
this.model = model;
this.decoderConfig = decoderConfig;
/*
allowed models:
M1 Mac/OSX: cd chat;./gpt4all-lora-quantized-OSX-m1
Linux: cd chat;./gpt4all-lora-quantized-linux-x86
Windows (PowerShell): cd chat;./gpt4all-lora-quantized-win64.exe
Intel Mac/OSX: cd chat;./gpt4all-lora-quantized-OSX-intel
*/
if ('gpt4all-lora-quantized' !== model &&
'gpt4all-lora-unfiltered-quantized' !== model) {
throw new Error("Model ".concat(model, " is not supported. Current models supported are: \n gpt4all-lora-quantized\n gpt4all-lora-unfiltered-quantized"));
}
this.executablePath = "".concat(os.homedir(), "/.nomic/gpt4all");
this.modelPath = "".concat(os.homedir(), "/.nomic/").concat(model, ".bin");
}
GPT4All.prototype.init = function (forceDownload) {
if (forceDownload === void 0) { forceDownload = false; }
return __awaiter(this, void 0, void 0, function () {
var downloadPromises;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
downloadPromises = [];
if (forceDownload || !fs.existsSync(this.executablePath)) {
downloadPromises.push(this.downloadExecutable());
}
if (forceDownload || !fs.existsSync(this.modelPath)) {
downloadPromises.push(this.downloadModel());
}
return [4 /*yield*/, Promise.all(downloadPromises)];
case 1:
_a.sent();
return [2 /*return*/];
}
});
});
};
GPT4All.prototype.open = function () {
return __awaiter(this, void 0, void 0, function () {
var spawnArgs, _i, _a, _b, key, value;
var _this = this;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
if (this.bot !== null) {
this.close();
}
spawnArgs = [this.executablePath, '--model', this.modelPath];
for (_i = 0, _a = Object.entries(this.decoderConfig); _i < _a.length; _i++) {
_b = _a[_i], key = _b[0], value = _b[1];
spawnArgs.push("--".concat(key), value.toString());
}
this.bot = (0, child_process_1.spawn)(spawnArgs[0], spawnArgs.slice(1), { stdio: ['pipe', 'pipe', 'ignore'] });
// wait for the bot to be ready
return [4 /*yield*/, new Promise(function (resolve) {
var _a, _b;
(_b = (_a = _this.bot) === null || _a === void 0 ? void 0 : _a.stdout) === null || _b === void 0 ? void 0 : _b.on('data', function (data) {
if (data.toString().includes('>')) {
resolve(true);
}
});
})];
case 1:
// wait for the bot to be ready
_c.sent();
return [2 /*return*/];
}
});
});
};
GPT4All.prototype.close = function () {
if (this.bot !== null) {
this.bot.kill();
this.bot = null;
}
};
GPT4All.prototype.downloadExecutable = function () {
return __awaiter(this, void 0, void 0, function () {
var upstream, platform, stdout;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
platform = os.platform();
if (!(platform === 'darwin')) return [3 /*break*/, 2];
return [4 /*yield*/, (0, util_1.promisify)(child_process_1.exec)('uname -m')];
case 1:
stdout = (_a.sent()).stdout;
if (stdout.trim() === 'arm64') {
upstream = 'https://github.com/nomic-ai/gpt4all/blob/main/chat/gpt4all-lora-quantized-OSX-m1?raw=true';
}
else {
upstream = 'https://github.com/nomic-ai/gpt4all/blob/main/chat/gpt4all-lora-quantized-OSX-intel?raw=true';
}
return [3 /*break*/, 3];
case 2:
if (platform === 'linux') {
upstream = 'https://github.com/nomic-ai/gpt4all/blob/main/chat/gpt4all-lora-quantized-linux-x86?raw=true';
}
else if (platform === 'win32') {
upstream = 'https://github.com/nomic-ai/gpt4all/blob/main/chat/gpt4all-lora-quantized-win64.exe?raw=true';
}
else {
throw new Error("Your platform is not supported: ".concat(platform, ". Current binaries supported are for OSX (ARM and Intel), Linux and Windows."));
}
_a.label = 3;
case 3: return [4 /*yield*/, this.downloadFile(upstream, this.executablePath)];
case 4:
_a.sent();
return [4 /*yield*/, fs.chmod(this.executablePath, 493, function (err) {
if (err) {
throw err;
}
})];
case 5:
_a.sent();
console.log("File downloaded successfully to ".concat(this.executablePath));
return [2 /*return*/];
}
});
});
};
GPT4All.prototype.downloadModel = function () {
return __awaiter(this, void 0, void 0, function () {
var modelUrl;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
modelUrl = "https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/".concat(this.model, ".bin");
return [4 /*yield*/, this.downloadFile(modelUrl, this.modelPath)];
case 1:
_a.sent();
console.log("File downloaded successfully to ".concat(this.modelPath));
return [2 /*return*/];
}
});
});
};
GPT4All.prototype.downloadFile = function (url, destination) {
return __awaiter(this, void 0, void 0, function () {
var _a, data, headers, totalSize, progressBar, dir, writer;
return __generator(this, function (_b) {
switch (_b.label) {
case 0: return [4 /*yield*/, axios_1["default"].get(url, { responseType: 'stream' })];
case 1:
_a = _b.sent(), data = _a.data, headers = _a.headers;
totalSize = parseInt(headers['content-length'], 10);
progressBar = new ProgressBar('[:bar] :percent :etas', {
complete: '=',
incomplete: ' ',
width: 20,
total: totalSize
});
dir = new URL("file://".concat(os.homedir(), "/.nomic/"));
return [4 /*yield*/, fs.mkdir(dir, { recursive: true }, function (err) {
if (err) {
throw err;
}
})];
case 2:
_b.sent();
writer = fs.createWriteStream(destination);
data.on('data', function (chunk) {
progressBar.tick(chunk.length);
});
data.pipe(writer);
return [2 /*return*/, new Promise(function (resolve, reject) {
writer.on('finish', resolve);
writer.on('error', reject);
})];
}
});
});
};
GPT4All.prototype.prompt = function (prompt) {
var _this = this;
if (this.bot === null) {
throw new Error("Bot is not initialized.");
}
this.bot.stdin.write(prompt + "\n");
return new Promise(function (resolve, reject) {
var response = "";
var timeoutId;
var onStdoutData = function (data) {
var text = data.toString();
if (timeoutId) {
clearTimeout(timeoutId);
}
if (text.includes(">")) {
// console.log('Response starts with >, end of message - Resolving...'); // Debug log: Indicate that the response ends with "\\f"
terminateAndResolve(response); // Remove the trailing "\f" delimiter
}
else {
timeoutId = setTimeout(function () {
// console.log('Timeout reached - Resolving...'); // Debug log: Indicate that the timeout has been reached
terminateAndResolve(response);
}, 4000); // Set a timeout of 4000ms to wait for more data
}
// console.log('Received text:', text); // Debug log: Show the received text
response += text;
// console.log('Updated response:', response); // Debug log: Show the updated response
};
var onStdoutError = function (err) {
_this.bot.stdout.removeListener("data", onStdoutData);
_this.bot.stdout.removeListener("error", onStdoutError);
reject(err);
};
var terminateAndResolve = function (finalResponse) {
_this.bot.stdout.removeListener("data", onStdoutData);
_this.bot.stdout.removeListener("error", onStdoutError);
// check for > at the end and remove it
if (finalResponse.endsWith(">")) {
finalResponse = finalResponse.slice(0, -1);
}
resolve(finalResponse);
};
_this.bot.stdout.on("data", onStdoutData);
_this.bot.stdout.on("error", onStdoutError);
});
};
return GPT4All;
}());
exports.GPT4All = GPT4All;