In today's world, AI is transforming many areas, including music. With AI, you can create original songs without being a professional musician. Tools like Eachlabs make it easy for developers and music enthusiasts to build mobile applications that generate music from text descriptions.

Whether you want to create melodies for a blog, customize songs for your app, or experiment with music creation, AI provides powerful solutions to bring your ideas to life. In this blog, I'll show you how to use Eachlabs' workflow engine and their "text-to-song" model to build your AI-powered music applications.

Understanding AI Music Generation

AI has transformed the music industry, offering unprecedented opportunities for creative expression. AI music generation involves using machine learning algorithms to compose, arrange, and produce musical content across various genres and styles. From generating entire compositions to assisting human musicians, AI technology is reshaping how we think about music creation.

Building Your AI Song Application with Eachlabs Workflow Engine

The Eachlabs is an AI Backend builder with a workflow engine that allows you to combine and run AI models in place. One of the +150 model gardens is Text-to-Song, which will create an AI-generated song from your prompts.

You can check the Text-to-Song model on our Model garden

Step-by-Step Guide to Building AI Song Applications with Eachlabs

1. Sign Up and Access Eachlabs Workflow Engine: Begin by creating an account on Eachlabs and exploring the workflow engine. Familiarize yourself with the interface and available models.
2. Integrate the Text-to-Song Model: Locate the text-to-song model within the workflow engine. Drag it into your workflow canvas and connect it to other components, such as user input fields or data processing nodes.
3. Define Your Workflow: Customize your application’s workflow. For example:
   • Accept user prompts (e.g., lyrics or themes).
   • Process the input to refine or enhance its quality.
   • Generate the song using the text-to-song model.
   • Output the final audio file for download or playback.

Prompt : A smooth inspiring motivational song about the increasing number of requests to an AI model provider.

Output:

Integration with using Eachlabs AI Song API

1. Test Your Application: Use the testing environment within Eachlabs to ensure your workflow runs smoothly. Debug any issues and refine your parameters to optimize the output.
2. Deploy Your Application Once satisfied with the workflow, deploy your application. Eachlabs makes it easy to integrate with web or mobile platforms via Song API connections.

Once you complete the workflow, you can integrate it into your application using our client SDK. We support Node.js, Python, Golang, and HTTP.

You can use this SDK request for trigger the workflow.

import requests

url = "https://api.eachlabs.ai/v1/prediction"

payload = {
   "model": "text-to-song",
   "version": "0.0.1",
   "input": {
    "prompt": "A song about love"
   }
}
headers = {
    "X-API-KEY": "XX",
    "Content-Type": "application/json"
}

response = requests.request("POST", url, json=payload, headers=headers)

print(response.text)

Use Cases for AI Song Applications

AI song applications have the potential to revolutionize various industries:

• Music Creation: Empower independent artists and producers to experiment with new sounds and ideas.
• Content Creation: Provide content creators with royalty-free music tailored to their needs.
• Education: Offer students and educators tools for learning music theory and composition interactively.
• Marketing: Enable brands to create custom jingles or promotional tracks instantly.

Conclusion

The Eachlabs workflow engine will allow to build AI music generation mobile/web applications with using AI Song API. Whether you’re an aspiring entrepreneur, a seasoned developer, or a music enthusiast, now is the perfect time to explore the possibilities of AI-powered song applications.

Eachlabs Developer Documentation