Package Exports
- monsterapi
- monsterapi/dist/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (monsterapi) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
monsterapi
monsterapi is a JavaScript client library for interacting with the Monster API. It provides an easy way to access the API's features and integrate them into your applications.
Available Models
Text Generation / Language Models (LLMs):
- falcon-7b-instruct
- mpt-7b-instruct
- llama2-7b-chat
- falcon-40b-instruct
- mpt-30b-instruct
Note: Other models are accessible through the client but are not activated yet. They will be updated shortly.
Image Generation:
- txt2img - stable-diffusion v1.5
- sdxl - stable-diffusion XL V1.0
- pix2pix - Instruct-pix2pix
- img2img - Image to Image using Stable Diffusion
Speech Generation:
- sunoai-bark - Bark (Sunoai Bark)
- whisper - Whisper Large V2
Usage
Installation
You can install the monsterapi package using npm or yarn:
npm install monsterapior
yarn add monsterapiImport the Library
To use the monsterapi library in your project, import the MonsterApiClient class:
import MonsterApiClient from 'monsterapi';or
const MonsterApiClient = require('monsterapi');Initialize the Client
Create an instance of the MonsterApiClient class by providing your API key:
const client = new MonsterApiClient('your-api-key');Replace 'your-api-key' with your actual Monster API key.
Get Response
You can use the get_response method to generate the Process Id of your request:
const model = 'whisper'; // Replace with a valid model name
const input = {
// Replace with valid input data for the model
};
client.get_response(model, input)
.then((result) => {
// Handle the status response from the API
console.log('Generated Data:', result);
})
.catch((error) => {
// Handle API errors
console.error('Error:', error);
});Check Status
You can use the get_status method to check the status of a Process Id:
const processId = 'your-process-id'; // Replace with the actual process ID
client.get_status(processId)
.then((status) => {
// Handle the status response from the API
console.log('Status:', status);
})
.catch((error) => {
// Handle API errors
console.error('Error:', error);
});Wait and Get Result
You can use the wait_and_get_result method it take process id and wait till status get completed and retrieve the result:
const processId = 'your-process-id'; // Replace with the actual process ID
client.wait_and_get_result(processId)
.then((result) => {
// Handle the generated content result
console.log('Generated content result:', result);
})
.catch((error) => {
// Handle API errors or timeout
console.error('Error:', error);
});Generate Content
You can use the generate method to retrive the result directly without using each function separately. generate method Generate the process Id and Retrive it Result :
const model = 'whisper'; // Replace with a valid model name
const input = {
// Replace with valid input data for the model
};
client.generate(model, input)
.then((response) => {
// Handle the response from the API
console.log('Generated content:', response);
})
.catch((error) => {
// Handle API errors
console.error('Error:', error);
});Documentation
For more details on the monsterapi library and its models, refer to the documentation.