MusicCritique

🤖 Streamlit LLM Hackathon Submission

Introduction

MusicCritique is a revolutionary application that harnesses the power of audio transcription and Language Model (LLM) technology to provide artists and music managers with valuable insights into their recorded songs. By offering data-driven understanding and analysis, MusicCritique empowers creators to make more informed and strategic decisions before releasing their musical masterpieces to the world.

Video Demo

Watch Video Demonstration

Tools Used

The following non-trivial tools were used in this application:

• Python (^3.9)
• Streamlit: For the UI
• Assembly AI: For Audio transcription
• LangChain: For generating critical analyses and recommendations using OpenAI's LLM
• Hugging Face: For generating cover image ideas
• Plotly: For visualizations
• Pytest and SeleniumBase: For testing

Features

The application provides the following features:

MusicCritique offers a range of powerful features to enhance your music creation and decision-making process:

• Audio Transcription: It automatically transcribes audio/video files of song recordings into text, making it easier to analyze and understand the lyrics and song structure.
• Summarization: It summarizes the song recording.
• Sentiment Analysis: It utilizes sentiment analysis to gain insights into the emotional tone of the song.
• Lyrical Content Analysis: It analyzes the lyrical content of the songs using visualizations to identify themes, keywords that can inform creative direction.
• Content Moderation: It detects and reports sensitive content in the song
• Topic Detection: It detects topics discussed in the song.
• Criticism: It performs a constructive critical analysis of the song based on essential factors.
• Recommendations for Improvement: It provides recommendations for improvements based on the obtained critical analysis.

Installation

To get started with MusicCritique, follow these steps:

1. Clone the repository to your local machine:

git clone https://github.com/rexsimiloluwah/music-critique
cd music-critique

2. Initialize Poetry

This project uses Poetry for package management, you can alternatively run the next steps using your virtual environment.

poetry init

3. Install the required dependencies using Poetry (or your preferred package manager)

To install the project's dependencies listed in pyproject.toml, run:

poetry install

4. Run the app

poetry run streamlit run app/1_Music_Critique.py

Access the app in your web browser at http://localhost:8501

5. Run Tests

poetry run pytest --browser=chrome --headless

Contributing

Contributions to MusicCritique are welcome! Whether you're a developer, designer, or music enthusiast, your input is valuable.