sm-tomusic-ai 1767867.374.989
High-quality integration for https://tomusic.ai/
Requires Python: >=3.6

# 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](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/