https://github.com/alidantech/upcoming
This app allows upcoming artists to post songs.
https://github.com/alidantech/upcoming
ai django-application machine-learning music music-player music-recording python upcoming-artists website
Last synced: 2 months ago
JSON representation
This app allows upcoming artists to post songs.
- Host: GitHub
- URL: https://github.com/alidantech/upcoming
- Owner: Alidantech
- License: gpl-3.0
- Created: 2023-03-18T22:16:42.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-12-31T07:28:35.000Z (over 2 years ago)
- Last Synced: 2025-01-26T13:11:12.234Z (over 1 year ago)
- Topics: ai, django-application, machine-learning, music, music-player, music-recording, python, upcoming-artists, website
- Language: HTML
- Homepage: https://alidante.pythonanywhere.com/
- Size: 22.2 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Upcoming.AI
This is an app that allows users, specifically upcoming artists, to post songs. The app uses machine learning to determine the effectiveness of the song and also identifies songs that are closely related to it.
The front-end languages used are JavaScript, HTML, and CSS for the user interface. The back-end utilizes Python(Django) and Postgre for machine learning algorithms and data storage.
## Prerequisites
- Python
- Django
- Postgre
## Installation
1. Clone the repository:
```
git clone https://github.com/Alidante254/upcoming.git
```
```bash
cd upcoming
```
2. Set up and activate the virtual environment:
```bash
python3 -m venv venv
venv\bin\activate.bat
```
3. Install Python dependencies using pip:
```bash
pip install -r requirements.txt
```
4. Start your postgre database server:
```bash
pg_ctl start
```
5. Create a database in your postgre server.
```sql
CREATE DATABASE upcoming;
```
6. Run a database migration.
```bash
python manage.py migrate
```
## Running the Project
1. Run the Django development server:
```
python manage.py runserver
```
2. Open your web browser and access the project at [http://localhost:8000/](http://localhost:8000/).