diffrhythm.ai 1767511.117.927
High-quality integration for https://diffrhythm.ai/
Requires Python: >=3.6

# diffrhythm.ai

An automated Python library designed to demonstrate and integrate with the diffrhythm.ai platform. This package provides convenient access to key functionalities of the diffrhythm.ai service.

## Installation

You can install the `diffrhythm.ai` package using pip:
bash
pip install diffrhythm.ai

## Basic Usage

Here are a few examples demonstrating how to use the `diffrhythm.ai` package:

**1. Performing a Basic Rhythmic Analysis:**

This example showcases how to analyze the rhythmic qualities of a given musical piece (represented as a string).
python
from diffrhythm import ai

# Assume 'music_data' contains a string representation of music notation.
music_data = "C4 D4 E4 F4 G4 A4 B4 C5"

try:
  analysis_result = ai.analyze_rhythm(music_data)
  print(f"Rhythmic Analysis Result: {analysis_result}")
except Exception as e:
  print(f"An error occurred during rhythmic analysis: {e}")

**2. Generating Rhythmic Variations:**

This example shows how to generate variations on an existing rhythmic pattern.
python
from diffrhythm import ai

original_rhythm = "Quarter Note, Quarter Note, Half Note"

try:
  variations = ai.generate_rhythmic_variations(original_rhythm, num_variations=3)
  print("Generated Rhythmic Variations:")
  for i, variation in enumerate(variations):
    print(f"Variation {i+1}: {variation}")
except Exception as e:
  print(f"An error occurred generating variations: {e}")

**3. Converting Music Data Formats:**

This example demonstrates how to convert music data from one format to another (e.g., from ABC notation to MIDI).
python
from diffrhythm import ai

abc_notation = "C D E F | G A B c"

try:
  midi_data = ai.convert_format(abc_notation, from_format="abc", to_format="midi")
  # 'midi_data' now contains the MIDI representation of the ABC notation.
  print(f"Successfully converted ABC notation to MIDI data.  (MIDI data object - representation not printed)")
  # You would typically then save midi_data to a file.
except Exception as e:
  print(f"An error occurred during format conversion: {e}")

**4. Retrieving Rhythmic Pattern Recommendations:**

This example retrieves rhythmic pattern recommendations based on a specified genre.
python
from diffrhythm import ai

genre = "Jazz"

try:
  recommendations = ai.get_rhythmic_recommendations(genre)
  print(f"Rhythmic Recommendations for {genre}:")
  for recommendation in recommendations:
    print(f"- {recommendation}")
except Exception as e:
  print(f"An error occurred retrieving recommendations: {e}")

**5. Evaluating Rhythmic Complexity:**

This example evaluates the rhythmic complexity of a given musical fragment.
python
from diffrhythm import ai

musical_fragment = "Sixteenth Note, Eighth Note, Quarter Note, Dotted Half Note"

try:
  complexity_score = ai.evaluate_rhythmic_complexity(musical_fragment)
  print(f"Rhythmic Complexity Score: {complexity_score}")
except Exception as e:
  print(f"An error occurred during complexity evaluation: {e}")

## Features

*   **Rhythmic Analysis:** Analyze the rhythmic characteristics of musical pieces.
*   **Rhythmic Variation Generation:** Generate variations on existing rhythmic patterns.
*   **Music Data Format Conversion:** Convert between different music data formats (e.g., ABC notation, MIDI).
*   **Rhythmic Pattern Recommendations:** Get rhythmic pattern suggestions based on specified genres.
*   **Rhythmic Complexity Evaluation:** Assess the rhythmic complexity of musical fragments.
*   **Simplified API:** Easy-to-use functions for seamless integration.
*   **Error Handling:** Robust error handling for reliable operation.

## License

MIT License

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