https://github.com/dhartisangani/melomint-processor-service
A Unique music platform empowering artists with AI-driven nested royalties and NFT members and Transparent analytics. Seamless access to a vast high-quality song library for users. Support artists with exclusive NFTs with Flow blockchain.
https://github.com/dhartisangani/melomint-processor-service
ai audio-processing cosine-similarity fastapi ml python tenser
Last synced: about 2 months ago
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A Unique music platform empowering artists with AI-driven nested royalties and NFT members and Transparent analytics. Seamless access to a vast high-quality song library for users. Support artists with exclusive NFTs with Flow blockchain.
- Host: GitHub
- URL: https://github.com/dhartisangani/melomint-processor-service
- Owner: dhartisangani
- License: mit
- Created: 2024-11-15T22:15:03.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-15T22:15:06.000Z (over 1 year ago)
- Last Synced: 2025-01-23T13:33:50.063Z (over 1 year ago)
- Topics: ai, audio-processing, cosine-similarity, fastapi, ml, python, tenser
- Language: Python
- Homepage: https://melomint.vercel.app/
- Size: 207 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Melomint Processor Service
## Installation
1. Clone the repository:
```bash
git clone https://github.com/your-username/project-name.git ```
2. Navigate to the project directory:
```bash
cd project-name
3. Create a virtual environment (optional but recommended):
```bash
python3 -m venv env
4. Activate the virtual environment:
```bash
# For Linux/macOS
source env/bin/activate
# For Windows (PowerShell)
.\env\Scripts\Activate.ps1
5. Install the project dependencies:
```bash
pip install -r requirements.txt
## Usage
- Start the FastAPI server:
```bash
uvicorn app.main:app --reload
- This will start the server on http://localhost:3000 (by default) and enable auto-reloading for development purposes.
- Access the server in your browser or through an API client:
```bash
http://localhost:3000
## Configuration
The project may have some configuration options that you can customize. These options are typically found in a .env file or through environment variables. Please refer to the project documentation or configuration files for more details on specific configurations.