sm-tomusic-ai 1767867.374.989

High-quality integration for https://tomusic.ai/

sm-tomusic-ai

sm-tomusic-ai is an automated Python library designed to simplify interaction with the ToMusic.AI platform, allowing users to easily explore and showcase its powerful music generation and manipulation capabilities. This package provides a streamlined interface for common tasks, enabling developers and musicians to quickly integrate ToMusic.AI functionality into their projects.

Installation

You can install sm-tomusic-ai using pip: bash pip install sm-tomusic-ai

Basic Usage

Here are a few examples demonstrating how to use sm-tomusic-ai:

1. Generating a Simple Melody: python from sm_tomusic_ai import music_generator

Generate a melody with default settings

melody = music_generator.generate_melody() print(melody) # Output will vary based on the generation algorithm

Optionally, you can save the melody to a MIDI file. (Implementation Detail - Assumes a save_midi function exists)

music_generator.save_midi(melody, "my_melody.midi")

2. Harmonizing an Existing Melody: python from sm_tomusic_ai import music_harmonizer

Assume you have a melody (represented as a list of notes, for example)

melody = ["C4", "D4", "E4", "F4", "G4"]

Harmonize the melody

harmony = music_harmonizer.harmonize_melody(melody) print(harmony) # Output will vary based on the harmonization algorithm

Optionally, you can save the harmonized melody to a MIDI file. (Implementation Detail - Assumes a save_midi function exists)

music_harmonizer.save_midi(harmony, "harmonized_melody.midi")

3. Applying a Specific Style to a Piece of Music: python from sm_tomusic_ai import music_styler

Assume you have a piece of music (represented in a suitable format)

music_data = "Your music data here (e.g., a MIDI file path or a symbolic representation)"

Apply a "Jazz" style

styled_music = music_styler.apply_style(music_data, style="Jazz") print(styled_music) # Output will vary based on the style application algorithm

Optionally, you can save the styled music. (Implementation Detail - Assumes a save_music function exists)

music_styler.save_music(styled_music, "jazz_version.midi")

4. Generating Music Based on Text Input: python from sm_tomusic_ai import text_to_music

Generate music based on the provided text description.

music = text_to_music.generate_from_text("A peaceful melody reminiscent of a flowing river.") print(music)

Optionally, you can save the generated music. (Implementation Detail - Assumes a save_music function exists)

text_to_music.save_music(music, "river_melody.midi")

5. Analyzing the Sentimental Value of a Musical Piece: python from sm_tomusic_ai import music_analyzer

Assume you have a piece of music (represented in a suitable format)

music_data = "Your music data here (e.g., a MIDI file path or a symbolic representation)"

Analyze the sentiment of the music

sentiment = music_analyzer.analyze_sentiment(music_data) print(f"The sentiment of the music is: {sentiment}") # Output example: The sentiment of the music is: Positive

Features

• Melody Generation: Create original melodies with customizable parameters.
• Harmony Generation: Harmonize existing melodies to create richer musical textures.
• Style Transfer: Apply different musical styles to existing pieces.
• Text-to-Music Generation: Generate music based on textual descriptions.
• Music Analysis: Analyze musical pieces to determine characteristics such as sentiment.
• Simplified API: Easy-to-use functions for common music generation and manipulation tasks.

License

This project is licensed under the MIT License - see the LICENSE file for details.

This project is a gateway to the sm-tomusic-ai ecosystem. For advanced features and full capabilities, please visit: https://tomusic.ai/