const { Chatbot, ChatGPTInput } = require('intellinode');

// set the system mode and the user message.
const input = new ChatGPTInput('You are a helpful assistant.');
input.addUserMessage('What is the distance between the Earth and the Moon?');

// get the responses from the chatbot
const bot = new Chatbot(apiKey);
const responses = await bot.chat(input);

const { Chatbot, GeminiInput, SupportedChatModels } = require('intellinode');

const input = new GeminiInput();
input.addUserMessage('Who painted the Mona Lisa?');

// get the api key from mistral.ai
const geminiBot = new Chatbot(geminiApiKey, SupportedChatModels.GEMINI);
const responses = await geminiBot.chat(geminiInput);

const { SemanticSearch } = require('intellinode');

const search = new SemanticSearch(apiKey);
// pivotItem: item to search.
const results = await search.getTopMatches(pivotItem, searchArray, numberOfMatches);
const filteredArray = search.filterTopMatches(results, searchArray)

const { Gen } = require('intellinode');

// one line to generate blog post
const blogPost = await Gen.get_blog_post(prompt, openaiApiKey);

// or generate html page code
text = 'a registration page with flat modern theme.'
await Gen.save_html_page(text, folder, file_name, openaiKey);

// or convert csv data to charts
const csv_str_data = '<your csv as string>'
const topic = "<the csv topic>";

const htmlCode = await Gen.generate_dashboard(csv_str_data, topic, openaiKey, num_graphs=2);

const { RemoteImageModel, SupportedImageModels, ImageModelInput } = require('intellinode');

provider=SupportedImageModels.OPENAI;

const imgModel = new RemoteImageModel(apiKey, provider);
const images = await imgModel.generateImages(new ImageModelInput({
    prompt: 'teddy writing a blog in times square',
    numberOfImages: 1
}));

provider=SupportedImageModels.STABILITY;
// ... same code

const { RemoteLanguageModel, LanguageModelInput } = require('intellinode');

const langModel = new RemoteLanguageModel('openai-key', 'openai');
model_name = 'text-davinci-003'

const results = await langModel.generateText(new LanguageModelInput({
  prompt: 'Write a product description for smart plug that works with voice assistant.',
  model: model_name,
  temperature: 0.7
}));

console.log('Generated text:', results[0]);

const langModel = new RemoteLanguageModel('cohere-key', 'cohere');
model_name = 'command'
// ... same code

const { RemoteSpeechModel, Text2SpeechInput } = require('intellinode');

const speechModel = new RemoteSpeechModel('google-key', 'google');
const audioContent = await speechModel.generateSpeech(new Text2SpeechInput({
  text: text,
  language: 'en-gb'
}));

const { HuggingWrapper } =  require('intellinode');

const inference = new HuggingWrapper('HF-key');
const result = await huggingWrapper.generateText(
   modelId='facebook/bart-large-cnn',
   data={ inputs: 'The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building...' });

const promptTemp = await Prompt.fromChatGPT("fantasy image with ninja jumping across buildings", openaiApiKey);
console.log(promptTemp.getInput());

const { ProxyHelper } = require('intellinode');
ProxyHelper.getInstance().setAzureOpenai(resourceName);