/* eslint-disable unicorn/prefer-module */ // This is a demo utilising GPT-4o or Vision preview hosted in OpenAI. // OpenAI API allows more than 10 (maximum allowed by Azure's OpenAI API) images to be supplied. // Video frame images are uploaded to Azure Blob Storage and then made available to GPT from there. // // This demo shows how multiple videos can be used in a single conversation. // // This script can be executed with a command line like this from the project root directory: // export OPENAI_API_KEY=... // export AZURE_STORAGE_CONNECTION_STRING=... // export OPENAI_MODEL_NAME=... // export AZURE_STORAGE_CONTAINER_NAME=... // ENABLE_DEBUG=true npx ts-node test/integration/chatgpt-openai-azure-storage-multi-video.ts // import { consoleWithColour } from '@handy-common-utils/misc-utils'; import chalk from 'chalk'; import path from 'node:path'; import readline from 'node:readline'; import { ChatAboutVideo, ConversationWithChatGpt } from '../../src'; async function demo() { const chat = new ChatAboutVideo( { credential: { key: process.env.OPENAI_API_KEY!, }, storage: { azureStorageConnectionString: process.env.AZURE_STORAGE_CONNECTION_STRING!, storageContainerName: process.env.AZURE_STORAGE_CONTAINER_NAME || 'vision-experiment-input', storagePathPrefix: 'video-frames/', }, completionOptions: { model: process.env.OPENAI_MODEL_NAME || 'gpt-4.1-mini', }, extractVideoFrames: { limit: 100, interval: 2, }, }, consoleWithColour({ debug: process.env.ENABLE_DEBUG === 'true' }, chalk), ); const conversation = (await chat.startConversation([ { videoFile: path.resolve(__dirname, '../sample-media-files/engine-start.h264.aac.mp4'), promptText: 'This is the first video:' }, { videoFile: path.resolve(__dirname, '../sample-media-files/test-tone.h264.pcms32be.mov'), promptText: 'This is the second video:' }, { videoFile: path.resolve(__dirname, '../sample-media-files/engine-start.h264.aac.mp4'), promptText: 'This is the third video:' }, ])) as ConversationWithChatGpt; const rl = readline.createInterface({ input: process.stdin, output: process.stdout }); const prompt = (question: string) => new Promise((resolve) => rl.question(question, resolve)); while (true) { const question = await prompt(chalk.red('\nUser: ')); if (!question) { continue; } if (['exit', 'quit', 'q', 'end'].includes(question)) { await conversation.end(); break; } const answer = await conversation.say(question, { max_tokens: 2000 }); console.log(chalk.blue('\nAI:' + answer)); } console.log('Demo finished'); rl.close(); } // eslint-disable-next-line unicorn/prefer-top-level-await demo().catch((error) => console.log(chalk.red(JSON.stringify(error, null, 2))));