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Build agents that generate creative content including music, memes, podcasts, and multimedia. Covers generative models, content synthesis, style transfer, and creative control...
Build intelligent agents that generate original creative content across multiple modalities including text, music, images, memes, and podcasts.
Creative generation combines:
Extract the code examples and utilities from the directories:
Examples: See examples/ directory for complete implementations:
music_generation.py - Music generation and audio synthesismeme_generator.py - Image and text-based meme generationpodcast_producer.py - Podcast script and audio productionimage_generation.py - Diffusion-based image generationstyle_transfer.py - Neural style transferUtilities: See scripts/ directory for helper modules:
creative_quality_assessment.py - Quality evaluationaudio_effects.py - Audio effect processingcontent_moderation.py - Safety and compliance filteringGenerate music as MIDI/musical notation. See examples/music_generation.py.
Key Classes:
MusicGenerationAgent - Generates melodies and full compositionsgenerate_melody(), generate_full_composition(), generate_harmony()Usage:
from examples.music_generation import MusicGenerationAgent
agent = MusicGenerationAgent()
melody = agent.generate_melody(
seed_notes=[("C4", 1), ("E4", 1), ("G4", 1)],
length=32,
temperature=0.8
)
composition = agent.generate_full_composition(style="classical", duration_bars=32)
Generate audio waveforms directly. See examples/music_generation.py.
Key Classes:
AudioSynthesisAgent - Synthesizes audio from MIDI and applies effectsUsage:
from examples.music_generation import AudioSynthesisAgent
synth = AudioSynthesisAgent(sample_rate=44100)
audio = synth.synthesize_from_midi(midi_data, duration_seconds=60)
audio = synth.add_effects(audio, effect_type="reverb")
synth.save_audio(audio, "output.wav")
See examples/meme_generator.py for complete implementations.
Generate memes by applying captions to templates.
Key Classes:
MemeGenerationAgent - Generates image-based memes with captionsgenerate_meme(), generate_caption(), apply_caption_to_template()Usage:
from examples.meme_generator import MemeGenerationAgent
agent = MemeGenerationAgent()
meme = agent.generate_meme(topic="AI agents", meme_template="drake")
meme.save("output_meme.png")
Generate text-only memes in various formats.
Key Classes:
TextMemeGenerator - Generates text-based memesgenerate_text_meme(), generate_joke_meme(), generate_deep_meme()Usage:
from examples.meme_generator import TextMemeGenerator
generator = TextMemeGenerator()
joke_meme = generator.generate_text_meme(topic="Python programming", format_type="joke")
deep_meme = generator.generate_text_meme(topic="AI", format_type="deep")
See examples/podcast_producer.py for complete implementations.
Generate podcast scripts with structure and natural conversation flow.
Key Classes:
PodcastScriptGenerator - Creates scripts from topicsgenerate_episode(), generate_script(), generate_content_segments(), generate_intro(), generate_outro()Usage:
from examples.podcast_producer import PodcastScriptGenerator
generator = PodcastScriptGenerator()
episode = generator.generate_episode(
topic="Future of AI",
duration_minutes=30,
num_hosts=2
)
print(episode["script"])
Convert scripts to audio with text-to-speech and effects.
Key Classes:
PodcastAudioProducer - Produces audio from podcast scriptsproduce_podcast(), text_to_speech(), add_background_music(), add_transitions()Usage:
from examples.podcast_producer import PodcastAudioProducer
producer = PodcastAudioProducer()
audio = producer.produce_podcast(script_text)
See examples/image_generation.py and examples/style_transfer.py.
Generate images from text prompts using Stable Diffusion or similar models.
Key Classes:
ImageGenerationAgent - Generates images from text promptsgenerate_image(), enhance_prompt(), generate_variations()Usage:
from examples.image_generation import ImageGenerationAgent
agent = ImageGenerationAgent()
image = agent.generate_image(
prompt="A futuristic city with neon lights",
style="cyberpunk",
num_inference_steps=50
)
image.save("generated_image.png")
variations = agent.generate_variations(image, num_variations=4)
Transfer artistic style from one image to another.
Key Classes:
StyleTransferAgent - Applies style transfer between imagestransfer_style(), preprocess_image(), postprocess_image()Usage:
from examples.style_transfer import StyleTransferAgent
agent = StyleTransferAgent()
stylized = agent.transfer_style(
content_image="photo.jpg",
style_image="monet_painting.jpg"
)
See scripts/creative_quality_assessment.py for complete implementations.
Evaluate generated content across multiple quality dimensions.
Key Classes:
CreativeQualityAssessor - Assesses quality of all content typesassess_content_quality(), assess_music_quality(), assess_meme_quality(), assess_image_quality()Usage:
from scripts.creative_quality_assessment import CreativeQualityAssessor
assessor = CreativeQualityAssessor()
# Assess music quality
music_assessment = assessor.assess_content_quality(audio, content_type="music")
print(f"Overall score: {music_assessment['overall_score']}")
print(f"Metrics: {music_assessment['metrics']}")
# Assess meme quality
meme_assessment = assessor.assess_content_quality(meme, content_type="meme")
# Assess image quality
image_assessment = assessor.assess_content_quality(image, content_type="image")
creative_quality_assessment.py)audio_effects.py)content_moderation.py)