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Music Analysis App made using Flask, Python, Html, Css, sql, Restful Apis and more

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Musically - A Music Analysis application for song lovers!

Introduction

This web application, designed for music lovers, integrates various functionalities including user authentication, music data access through the Spotify API, and a unique feature for lyric generation using Markov chains.

Features

User Authentication

  • Login/Signup: Users can create an account or log in to access personalized features.
  • Logout: Session-based logout functionality for security.
  • Profile Management: Options for users to view and edit their profile, including password changes.

Music Data Integration

  • Spotify API Usage: Fetches data from Spotify for artist and song information.
  • Artist Search: Allows users to search for artists and view their top tracks.
  • Song Data Analysis: Provides detailed analysis of songs using Spotify's data.
  • Music Visualizer: A feature for visualizing music data (implementation details not provided in the code).

Lyric Generation Using Markov Chains

  • Innovative Text Generation: Implements Markov chains to generate new lyrics. This probabilistic model considers the likelihood of each word's occurrence based on previous words, creating coherent and stylistically similar lyrics.
  • Customization: Users can adjust settings like the number of lines and word similarity to influence the lyric generation process.
  • Lyric Mixing: A feature to blend lyrics from two different songs, creating a unique composition.

Technical Details

  • Database Handling: Utilizes SQLite for managing user data and lyric content.
  • Flask Framework: The application is built on Flask, offering a lightweight and flexible structure.
  • Secure Sessions: Manages user sessions for both security and a tailored user experience.

##Images of the application

Screen Shot 2024-01-15 at 8 01 22 PM Screen Shot 2024-01-15 at 7 58 55 PM Screen Shot 2024-01-15 at 7 59 51 PM Screen Shot 2024-01-15 at 8 00 30 PM Screen Shot 2024-01-15 at 7 58 30 PM Screen Shot 2024-01-15 at 7 59 07 PM

Running the Application

  • The application can be launched locally by running python __init__.py, and it will be hosted on [http://127.0.0.1:5000).

Future Development

  • Implementing OAuth for secure Spotify integration.
  • Refining the lyric generation algorithm for enhanced output.
  • Upgrading the UI/UX for a more engaging user interface.

Conclusion

This Flask-based web application is a versatile platform for music enthusiasts. Its standout feature is the use of Markov chains for lyric generation, offering users a creative tool to explore and create music-inspired content.

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Music Analysis App made using Flask, Python, Html, Css, sql, Restful Apis and more

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