TuneForge AI

AI music generator by Sharad Khare.

TuneForge AI turns text prompts into MP3 instrumental tracks using OpenAI orchestration and ModelsLab music generation.

Features

• Text-to-music generation from natural language prompts
• MP3 playback and download in Streamlit
• OpenAI GPT-4o agent workflow with ModelsLab tools
• Prompt guidance for genre, mood, tempo, and instrumentation
• Simple API key setup in sidebar

Quick start

cd tuneforge-ai
pip install -r requirements.txt
streamlit run app.py

Required API keys

• OpenAI API key
• ModelsLab API key

How it works

1. You describe the music style and mood.

2. TuneForge builds a detailed generation prompt with GPT-4o.

3. ModelsLab generates the MP3 track.

4. You can preview and download the result instantly.

Project structure

tuneforge-ai/
├── app.py
├── tuneforge/
│   ├── config.py
│   └── services.py
├── requirements.txt
├── pyproject.toml
└── README.md

Who this is for

• Musicians and creators prototyping AI audio concepts
• Product teams building text-to-music experiences
• Developers integrating ModelsLab into AI workflows
• Founders shipping music generation MVPs

Use cases

• Generate instrumental tracks from prompt-based descriptions
• Build rapid soundtrack drafts for short-form content
• Add AI audio generation to creator platforms
• Test genre, tempo, and mood prompt engineering for music

Author

• Website: sharadkhare.in

License

MIT © Sharad Khare