2024-03-31 00:32:37 +00:00
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import * as plugins from './plugins.js';
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import * as paths from './paths.js';
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2024-04-04 00:47:44 +00:00
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import { MultiModalModel } from './abstract.classes.multimodal.js';
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2024-03-31 00:32:37 +00:00
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2024-04-27 10:47:49 +00:00
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export interface IOpenaiProviderOptions {
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openaiToken: string;
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}
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export class OpenAiProvider extends MultiModalModel {
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private options: IOpenaiProviderOptions;
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public openAiApiClient: plugins.openai.default;
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public smartpdfInstance: plugins.smartpdf.SmartPdf;
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constructor(optionsArg: IOpenaiProviderOptions) {
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super();
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this.options = optionsArg;
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}
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public async start() {
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this.openAiApiClient = new plugins.openai.default({
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apiKey: this.options.openaiToken,
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dangerouslyAllowBrowser: true,
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});
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this.smartpdfInstance = new plugins.smartpdf.SmartPdf();
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}
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public async stop() {}
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public async chatStream(input: ReadableStream<string>): Promise<ReadableStream<string>> {
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// TODO: implement for OpenAI
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const returnStream = new ReadableStream();
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return returnStream;
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}
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// Implementing the synchronous chat interaction
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public async chat(optionsArg: {
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systemMessage: string;
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userMessage: string;
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messageHistory: {
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role: 'assistant' | 'user';
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content: string;
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}[];
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}) {
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const result = await this.openAiApiClient.chat.completions.create({
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model: 'gpt-4o',
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messages: [
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{ role: 'system', content: optionsArg.systemMessage },
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...optionsArg.messageHistory,
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{ role: 'user', content: optionsArg.userMessage },
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],
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});
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return {
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role: result.choices[0].message.role as 'assistant',
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message: result.choices[0].message.content,
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};
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}
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public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
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const done = plugins.smartpromise.defer<NodeJS.ReadableStream>();
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const result = await this.openAiApiClient.audio.speech.create({
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model: 'tts-1-hd',
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input: optionsArg.message,
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voice: 'nova',
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response_format: 'mp3',
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speed: 1,
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});
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const stream = result.body;
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done.resolve(stream);
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return done.promise;
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}
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public async document(optionsArg: {
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systemMessage: string;
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userMessage: string;
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pdfDocuments: Uint8Array[];
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messageHistory: {
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role: 'assistant' | 'user';
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content: any;
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}[];
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}) {
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let pdfDocumentImageBytesArray: Uint8Array[] = [];
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for (const pdfDocument of optionsArg.pdfDocuments) {
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const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
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pdfDocumentImageBytesArray = pdfDocumentImageBytesArray.concat(documentImageArray);
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}
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console.log(`image smartfile array`);
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console.log(pdfDocumentImageBytesArray.map((smartfile) => smartfile.length));
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const smartfileArray = await plugins.smartarray.map(
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pdfDocumentImageBytesArray,
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async (pdfDocumentImageBytes) => {
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return plugins.smartfile.SmartFile.fromBuffer(
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'pdfDocumentImage.jpg',
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Buffer.from(pdfDocumentImageBytes)
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);
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}
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);
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const result = await this.openAiApiClient.chat.completions.create({
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2024-05-17 14:25:22 +00:00
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model: 'gpt-4o',
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// response_format: { type: "json_object" }, // not supported for now
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messages: [
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{ role: 'system', content: optionsArg.systemMessage },
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...optionsArg.messageHistory,
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{
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role: 'user',
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content: [
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{ type: 'text', text: optionsArg.userMessage },
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...(() => {
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const returnArray = [];
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for (const imageBytes of pdfDocumentImageBytesArray) {
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returnArray.push({
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type: 'image_url',
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image_url: {
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url: 'data:image/png;base64,' + Buffer.from(imageBytes).toString('base64'),
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},
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});
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}
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return returnArray;
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})(),
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],
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},
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],
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});
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return {
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message: result.choices[0].message,
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};
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}
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}
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