Initial implementation of AudioCraft Studio

Complete web interface for Meta's AudioCraft AI audio generation:

- Gradio UI with tabs for all 5 model families (MusicGen, AudioGen,
  MAGNeT, MusicGen Style, JASCO)
- REST API with FastAPI, OpenAPI docs, and API key auth
- VRAM management with ComfyUI coexistence support
- SQLite database for project/generation history
- Batch processing queue for async generation
- Docker deployment optimized for RunPod with RTX 4090

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2025-11-25 19:34:27 +01:00
commit ffbf02b12c
67 changed files with 12032 additions and 0 deletions

17
src/ui/tabs/__init__.py Normal file
View File

@@ -0,0 +1,17 @@
"""Model tabs for AudioCraft Studio."""
from src.ui.tabs.dashboard_tab import create_dashboard_tab
from src.ui.tabs.musicgen_tab import create_musicgen_tab
from src.ui.tabs.audiogen_tab import create_audiogen_tab
from src.ui.tabs.magnet_tab import create_magnet_tab
from src.ui.tabs.style_tab import create_style_tab
from src.ui.tabs.jasco_tab import create_jasco_tab
__all__ = [
"create_dashboard_tab",
"create_musicgen_tab",
"create_audiogen_tab",
"create_magnet_tab",
"create_style_tab",
"create_jasco_tab",
]

283
src/ui/tabs/audiogen_tab.py Normal file
View File

@@ -0,0 +1,283 @@
"""AudioGen tab for text-to-sound generation."""
import gradio as gr
from typing import Any, Callable, Optional
from src.ui.state import DEFAULT_PRESETS, PROMPT_SUGGESTIONS
from src.ui.components.audio_player import create_generation_output
AUDIOGEN_VARIANTS = [
{"id": "medium", "name": "Medium", "vram_mb": 5000, "description": "1.5B params, balanced quality/speed"},
]
def create_audiogen_tab(
generate_fn: Callable[..., Any],
add_to_queue_fn: Callable[..., Any],
) -> dict[str, Any]:
"""Create AudioGen generation tab.
Args:
generate_fn: Function to call for generation
add_to_queue_fn: Function to add to queue
Returns:
Dictionary with component references
"""
presets = DEFAULT_PRESETS.get("audiogen", [])
suggestions = PROMPT_SUGGESTIONS.get("audiogen", [])
with gr.Column():
gr.Markdown("## 🔊 AudioGen")
gr.Markdown("Generate sound effects and environmental audio from text")
with gr.Row():
# Left column - inputs
with gr.Column(scale=2):
# Preset selector
preset_choices = [(p["name"], p["id"]) for p in presets] + [("Custom", "custom")]
preset_dropdown = gr.Dropdown(
label="Preset",
choices=preset_choices,
value=presets[0]["id"] if presets else "custom",
)
# Model variant (AudioGen only has medium)
variant_choices = [(f"{v['name']} ({v['vram_mb']/1024:.1f}GB)", v["id"]) for v in AUDIOGEN_VARIANTS]
variant_dropdown = gr.Dropdown(
label="Model Variant",
choices=variant_choices,
value="medium",
)
# Prompt input
prompt_input = gr.Textbox(
label="Prompt",
placeholder="Describe the sound you want to generate...",
lines=3,
max_lines=5,
)
# Prompt suggestions
with gr.Accordion("Prompt Suggestions", open=False):
suggestion_btns = []
for i, suggestion in enumerate(suggestions[:6]):
btn = gr.Button(suggestion[:50] + "...", size="sm", variant="secondary")
suggestion_btns.append((btn, suggestion))
# Parameters
gr.Markdown("### Parameters")
duration_slider = gr.Slider(
minimum=1,
maximum=10,
value=5,
step=1,
label="Duration (seconds)",
info="AudioGen works best with shorter clips",
)
with gr.Accordion("Advanced Parameters", open=False):
with gr.Row():
temperature_slider = gr.Slider(
minimum=0.0,
maximum=2.0,
value=1.0,
step=0.05,
label="Temperature",
)
cfg_slider = gr.Slider(
minimum=1.0,
maximum=10.0,
value=3.0,
step=0.5,
label="CFG Coefficient",
)
with gr.Row():
top_k_slider = gr.Slider(
minimum=0,
maximum=500,
value=250,
step=10,
label="Top-K",
)
top_p_slider = gr.Slider(
minimum=0.0,
maximum=1.0,
value=0.0,
step=0.05,
label="Top-P",
)
with gr.Row():
seed_input = gr.Number(
value=None,
label="Seed (empty = random)",
precision=0,
)
# Generate buttons
with gr.Row():
generate_btn = gr.Button("🔊 Generate", variant="primary", scale=2)
queue_btn = gr.Button("Add to Queue", variant="secondary", scale=1)
# Right column - output
with gr.Column(scale=3):
output = create_generation_output()
# Event handlers
# Preset change
def apply_preset(preset_id: str):
for p in presets:
if p["id"] == preset_id:
params = p["parameters"]
return (
params.get("duration", 5),
params.get("temperature", 1.0),
params.get("cfg_coef", 3.0),
params.get("top_k", 250),
params.get("top_p", 0.0),
)
return gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
preset_dropdown.change(
fn=apply_preset,
inputs=[preset_dropdown],
outputs=[duration_slider, temperature_slider, cfg_slider, top_k_slider, top_p_slider],
)
# Prompt suggestions
for btn, suggestion in suggestion_btns:
btn.click(
fn=lambda s=suggestion: s,
outputs=[prompt_input],
)
# Generate
async def do_generate(
prompt, variant, duration, temperature, cfg_coef, top_k, top_p, seed
):
if not prompt:
return (
gr.update(value="Please enter a prompt"),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
yield (
gr.update(value="🔄 Generating..."),
gr.update(visible=True, value=0),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
try:
result, generation = await generate_fn(
model_id="audiogen",
variant=variant,
prompts=[prompt],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
)
yield (
gr.update(value="✅ Generation complete!"),
gr.update(visible=False),
gr.update(value=generation.audio_path),
gr.update(),
gr.update(value=f"{result.duration:.2f}s"),
gr.update(value=str(result.seed)),
)
except Exception as e:
yield (
gr.update(value=f"❌ Error: {str(e)}"),
gr.update(visible=False),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
generate_btn.click(
fn=do_generate,
inputs=[
prompt_input,
variant_dropdown,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
],
outputs=[
output["status"],
output["progress"],
output["player"]["audio"],
output["player"]["waveform"],
output["player"]["duration"],
output["player"]["seed"],
],
)
# Add to queue
def do_add_queue(prompt, variant, duration, temperature, cfg_coef, top_k, top_p, seed):
if not prompt:
return "Please enter a prompt"
job = add_to_queue_fn(
model_id="audiogen",
variant=variant,
prompts=[prompt],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
)
return f"✅ Added to queue: {job.id}"
queue_btn.click(
fn=do_add_queue,
inputs=[
prompt_input,
variant_dropdown,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
],
outputs=[output["status"]],
)
return {
"preset": preset_dropdown,
"variant": variant_dropdown,
"prompt": prompt_input,
"duration": duration_slider,
"temperature": temperature_slider,
"cfg_coef": cfg_slider,
"top_k": top_k_slider,
"top_p": top_p_slider,
"seed": seed_input,
"generate_btn": generate_btn,
"queue_btn": queue_btn,
"output": output,
}

View File

@@ -0,0 +1,166 @@
"""Dashboard tab - home page with model overview and quick actions."""
import gradio as gr
from typing import Any, Callable, Optional
MODEL_INFO = {
"musicgen": {
"name": "MusicGen",
"icon": "🎵",
"description": "Text-to-music generation with optional melody conditioning",
"capabilities": ["Text prompts", "Melody conditioning", "Stereo output"],
},
"audiogen": {
"name": "AudioGen",
"icon": "🔊",
"description": "Text-to-sound effects and environmental audio",
"capabilities": ["Sound effects", "Ambiences", "Foley"],
},
"magnet": {
"name": "MAGNeT",
"icon": "",
"description": "Fast non-autoregressive music generation",
"capabilities": ["Fast generation", "Music", "Sound effects"],
},
"musicgen-style": {
"name": "MusicGen Style",
"icon": "🎨",
"description": "Style-conditioned music from reference audio",
"capabilities": ["Style transfer", "Reference audio", "Text prompts"],
},
"jasco": {
"name": "JASCO",
"icon": "🎹",
"description": "Chord and drum-conditioned music generation",
"capabilities": ["Chord control", "Drum patterns", "Symbolic conditioning"],
},
}
def create_dashboard_tab(
get_queue_status: Callable[[], dict[str, Any]],
get_recent_generations: Callable[[int], list[dict[str, Any]]],
get_gpu_status: Callable[[], dict[str, Any]],
) -> dict[str, Any]:
"""Create dashboard tab with model overview and status.
Args:
get_queue_status: Function to get generation queue status
get_recent_generations: Function to get recent generations
get_gpu_status: Function to get GPU status
Returns:
Dictionary with component references
"""
def refresh_dashboard():
"""Refresh all dashboard data."""
queue = get_queue_status()
recent = get_recent_generations(5)
gpu = get_gpu_status()
# Format queue status
queue_size = queue.get("queue_size", 0)
queue_text = f"**Queue:** {queue_size} job(s) pending"
# Format recent generations
if recent:
recent_items = []
for gen in recent[:5]:
model = gen.get("model", "unknown")
prompt = gen.get("prompt", "")[:50]
duration = gen.get("duration_seconds", 0)
recent_items.append(f"• **{model}** ({duration:.0f}s): {prompt}...")
recent_text = "\n".join(recent_items)
else:
recent_text = "No recent generations"
# Format GPU status
used_gb = gpu.get("used_gb", 0)
total_gb = gpu.get("total_gb", 24)
util = gpu.get("utilization_percent", 0)
gpu_text = f"**GPU:** {used_gb:.1f}/{total_gb:.1f} GB ({util:.0f}%)"
return queue_text, recent_text, gpu_text
with gr.Column():
# Header
gr.Markdown("# AudioCraft Studio")
gr.Markdown("AI-powered music and sound generation")
# Status bar
with gr.Row():
queue_status = gr.Markdown("**Queue:** Loading...")
gpu_status = gr.Markdown("**GPU:** Loading...")
refresh_btn = gr.Button("🔄 Refresh", size="sm")
gr.Markdown("---")
# Model cards
gr.Markdown("## Models")
with gr.Row():
# First row of cards
for model_id in ["musicgen", "audiogen", "magnet"]:
info = MODEL_INFO[model_id]
with gr.Column(scale=1):
with gr.Group():
gr.Markdown(f"### {info['icon']} {info['name']}")
gr.Markdown(info["description"])
gr.Markdown("**Features:** " + ", ".join(info["capabilities"]))
gr.Button(
f"Open {info['name']}",
variant="primary",
size="sm",
elem_id=f"btn_{model_id}",
)
with gr.Row():
# Second row of cards
for model_id in ["musicgen-style", "jasco"]:
info = MODEL_INFO[model_id]
with gr.Column(scale=1):
with gr.Group():
gr.Markdown(f"### {info['icon']} {info['name']}")
gr.Markdown(info["description"])
gr.Markdown("**Features:** " + ", ".join(info["capabilities"]))
gr.Button(
f"Open {info['name']}",
variant="primary",
size="sm",
elem_id=f"btn_{model_id}",
)
# Empty column for balance
with gr.Column(scale=1):
pass
gr.Markdown("---")
# Recent generations and queue
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("## Recent Generations")
recent_list = gr.Markdown("Loading...")
with gr.Column(scale=1):
gr.Markdown("## Quick Actions")
with gr.Group():
gr.Button("📁 Browse Projects", variant="secondary")
gr.Button("⚙️ Settings", variant="secondary")
gr.Button("📖 API Documentation", variant="secondary")
# Refresh handler
refresh_btn.click(
fn=refresh_dashboard,
outputs=[queue_status, recent_list, gpu_status],
)
return {
"queue_status": queue_status,
"gpu_status": gpu_status,
"recent_list": recent_list,
"refresh_btn": refresh_btn,
"refresh_fn": refresh_dashboard,
}

364
src/ui/tabs/jasco_tab.py Normal file
View File

@@ -0,0 +1,364 @@
"""JASCO tab for chord and drum-conditioned generation."""
import gradio as gr
from typing import Any, Callable, Optional
from src.ui.state import DEFAULT_PRESETS, PROMPT_SUGGESTIONS
from src.ui.components.audio_player import create_generation_output
JASCO_VARIANTS = [
{"id": "chords", "name": "Chords", "vram_mb": 5000, "description": "Chord-conditioned generation"},
{"id": "chords-drums", "name": "Chords + Drums", "vram_mb": 5500, "description": "Full symbolic conditioning"},
]
# Common chord progressions
CHORD_PRESETS = [
{"name": "Pop I-V-vi-IV", "chords": "C G Am F"},
{"name": "Jazz ii-V-I", "chords": "Dm7 G7 Cmaj7"},
{"name": "Blues I-IV-V", "chords": "A7 D7 E7"},
{"name": "Rock I-bVII-IV", "chords": "E D A"},
{"name": "Minor i-VI-III-VII", "chords": "Am F C G"},
]
def create_jasco_tab(
generate_fn: Callable[..., Any],
add_to_queue_fn: Callable[..., Any],
) -> dict[str, Any]:
"""Create JASCO generation tab.
Args:
generate_fn: Function to call for generation
add_to_queue_fn: Function to add to queue
Returns:
Dictionary with component references
"""
presets = DEFAULT_PRESETS.get("jasco", [])
suggestions = PROMPT_SUGGESTIONS.get("musicgen", [])
with gr.Column():
gr.Markdown("## 🎹 JASCO")
gr.Markdown("Generate music conditioned on chords and drum patterns")
with gr.Row():
# Left column - inputs
with gr.Column(scale=2):
# Preset selector
preset_choices = [(p["name"], p["id"]) for p in presets] + [("Custom", "custom")]
preset_dropdown = gr.Dropdown(
label="Preset",
choices=preset_choices,
value=presets[0]["id"] if presets else "custom",
)
# Model variant
variant_choices = [(f"{v['name']} ({v['vram_mb']/1024:.1f}GB)", v["id"]) for v in JASCO_VARIANTS]
variant_dropdown = gr.Dropdown(
label="Model Variant",
choices=variant_choices,
value="chords-drums",
)
# Prompt input
prompt_input = gr.Textbox(
label="Text Prompt",
placeholder="Describe the music style, mood, instruments...",
lines=2,
max_lines=4,
)
# Chord conditioning
gr.Markdown("### Chord Progression")
chord_input = gr.Textbox(
label="Chords",
placeholder="C G Am F or Cmaj7 Dm7 G7 Cmaj7",
lines=1,
info="Space-separated chord symbols",
)
# Chord presets
with gr.Accordion("Chord Presets", open=False):
chord_preset_btns = []
with gr.Row():
for cp in CHORD_PRESETS[:3]:
btn = gr.Button(cp["name"], size="sm", variant="secondary")
chord_preset_btns.append((btn, cp["chords"]))
with gr.Row():
for cp in CHORD_PRESETS[3:]:
btn = gr.Button(cp["name"], size="sm", variant="secondary")
chord_preset_btns.append((btn, cp["chords"]))
# Drum conditioning (for chords-drums variant)
with gr.Group(visible=True) as drum_section:
gr.Markdown("### Drum Pattern")
drum_input = gr.Audio(
label="Drum Reference",
type="filepath",
sources=["upload"],
)
gr.Markdown("*Upload a drum loop to condition the rhythm*")
# Parameters
gr.Markdown("### Parameters")
duration_slider = gr.Slider(
minimum=1,
maximum=30,
value=10,
step=1,
label="Duration (seconds)",
)
bpm_slider = gr.Slider(
minimum=60,
maximum=180,
value=120,
step=1,
label="BPM",
info="Tempo for chord timing",
)
with gr.Accordion("Advanced Parameters", open=False):
with gr.Row():
temperature_slider = gr.Slider(
minimum=0.0,
maximum=2.0,
value=1.0,
step=0.05,
label="Temperature",
)
cfg_slider = gr.Slider(
minimum=1.0,
maximum=10.0,
value=3.0,
step=0.5,
label="CFG Coefficient",
)
with gr.Row():
top_k_slider = gr.Slider(
minimum=0,
maximum=500,
value=250,
step=10,
label="Top-K",
)
top_p_slider = gr.Slider(
minimum=0.0,
maximum=1.0,
value=0.0,
step=0.05,
label="Top-P",
)
with gr.Row():
seed_input = gr.Number(
value=None,
label="Seed (empty = random)",
precision=0,
)
# Generate buttons
with gr.Row():
generate_btn = gr.Button("🎹 Generate", variant="primary", scale=2)
queue_btn = gr.Button("Add to Queue", variant="secondary", scale=1)
# Right column - output
with gr.Column(scale=3):
output = create_generation_output()
# Event handlers
# Preset change
def apply_preset(preset_id: str):
for p in presets:
if p["id"] == preset_id:
params = p["parameters"]
return (
params.get("duration", 10),
params.get("bpm", 120),
params.get("temperature", 1.0),
params.get("cfg_coef", 3.0),
params.get("top_k", 250),
params.get("top_p", 0.0),
)
return gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
preset_dropdown.change(
fn=apply_preset,
inputs=[preset_dropdown],
outputs=[duration_slider, bpm_slider, temperature_slider, cfg_slider, top_k_slider, top_p_slider],
)
# Variant change - show/hide drum section
def on_variant_change(variant: str):
show_drums = "drums" in variant.lower()
return gr.update(visible=show_drums)
variant_dropdown.change(
fn=on_variant_change,
inputs=[variant_dropdown],
outputs=[drum_section],
)
# Chord presets
for btn, chords in chord_preset_btns:
btn.click(
fn=lambda c=chords: c,
outputs=[chord_input],
)
# Generate
async def do_generate(
prompt, variant, chords, drums, duration, bpm, temperature, cfg_coef, top_k, top_p, seed
):
if not chords:
return (
gr.update(value="Please enter a chord progression"),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
yield (
gr.update(value="🔄 Generating..."),
gr.update(visible=True, value=0),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
try:
conditioning = {
"chords": chords,
"bpm": bpm,
}
if drums and "drums" in variant.lower():
conditioning["drums"] = drums
result, generation = await generate_fn(
model_id="jasco",
variant=variant,
prompts=[prompt] if prompt else [""],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
conditioning=conditioning,
)
yield (
gr.update(value="✅ Generation complete!"),
gr.update(visible=False),
gr.update(value=generation.audio_path),
gr.update(),
gr.update(value=f"{result.duration:.2f}s"),
gr.update(value=str(result.seed)),
)
except Exception as e:
yield (
gr.update(value=f"❌ Error: {str(e)}"),
gr.update(visible=False),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
generate_btn.click(
fn=do_generate,
inputs=[
prompt_input,
variant_dropdown,
chord_input,
drum_input,
duration_slider,
bpm_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
],
outputs=[
output["status"],
output["progress"],
output["player"]["audio"],
output["player"]["waveform"],
output["player"]["duration"],
output["player"]["seed"],
],
)
# Add to queue
def do_add_queue(prompt, variant, chords, drums, duration, bpm, temperature, cfg_coef, top_k, top_p, seed):
if not chords:
return "Please enter a chord progression"
conditioning = {
"chords": chords,
"bpm": bpm,
}
if drums and "drums" in variant.lower():
conditioning["drums"] = drums
job = add_to_queue_fn(
model_id="jasco",
variant=variant,
prompts=[prompt] if prompt else [""],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
conditioning=conditioning,
)
return f"✅ Added to queue: {job.id}"
queue_btn.click(
fn=do_add_queue,
inputs=[
prompt_input,
variant_dropdown,
chord_input,
drum_input,
duration_slider,
bpm_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
],
outputs=[output["status"]],
)
return {
"preset": preset_dropdown,
"variant": variant_dropdown,
"prompt": prompt_input,
"chords": chord_input,
"drums": drum_input,
"duration": duration_slider,
"bpm": bpm_slider,
"temperature": temperature_slider,
"cfg_coef": cfg_slider,
"top_k": top_k_slider,
"top_p": top_p_slider,
"seed": seed_input,
"generate_btn": generate_btn,
"queue_btn": queue_btn,
"output": output,
}

316
src/ui/tabs/magnet_tab.py Normal file
View File

@@ -0,0 +1,316 @@
"""MAGNeT tab for fast non-autoregressive generation."""
import gradio as gr
from typing import Any, Callable, Optional
from src.ui.state import DEFAULT_PRESETS, PROMPT_SUGGESTIONS
from src.ui.components.audio_player import create_generation_output
MAGNET_VARIANTS = [
{"id": "small", "name": "Small Music", "vram_mb": 2000, "description": "Fast music, 300M params"},
{"id": "medium", "name": "Medium Music", "vram_mb": 5000, "description": "Balanced music, 1.5B params"},
{"id": "audio-small", "name": "Small Audio", "vram_mb": 2000, "description": "Fast sound effects"},
{"id": "audio-medium", "name": "Medium Audio", "vram_mb": 5000, "description": "Balanced sound effects"},
]
def create_magnet_tab(
generate_fn: Callable[..., Any],
add_to_queue_fn: Callable[..., Any],
) -> dict[str, Any]:
"""Create MAGNeT generation tab.
Args:
generate_fn: Function to call for generation
add_to_queue_fn: Function to add to queue
Returns:
Dictionary with component references
"""
presets = DEFAULT_PRESETS.get("magnet", [])
suggestions = PROMPT_SUGGESTIONS.get("musicgen", []) # Reuse music suggestions
with gr.Column():
gr.Markdown("## ⚡ MAGNeT")
gr.Markdown("Fast non-autoregressive music and sound generation")
with gr.Row():
# Left column - inputs
with gr.Column(scale=2):
# Preset selector
preset_choices = [(p["name"], p["id"]) for p in presets] + [("Custom", "custom")]
preset_dropdown = gr.Dropdown(
label="Preset",
choices=preset_choices,
value=presets[0]["id"] if presets else "custom",
)
# Model variant
variant_choices = [(f"{v['name']} ({v['vram_mb']/1024:.1f}GB)", v["id"]) for v in MAGNET_VARIANTS]
variant_dropdown = gr.Dropdown(
label="Model Variant",
choices=variant_choices,
value="medium",
)
# Prompt input
prompt_input = gr.Textbox(
label="Prompt",
placeholder="Describe the music or sound you want to generate...",
lines=3,
max_lines=5,
)
# Prompt suggestions
with gr.Accordion("Prompt Suggestions", open=False):
suggestion_btns = []
for i, suggestion in enumerate(suggestions[:4]):
btn = gr.Button(suggestion[:60] + "...", size="sm", variant="secondary")
suggestion_btns.append((btn, suggestion))
# Parameters
gr.Markdown("### Parameters")
duration_slider = gr.Slider(
minimum=1,
maximum=30,
value=10,
step=1,
label="Duration (seconds)",
)
with gr.Accordion("Advanced Parameters", open=False):
gr.Markdown("*MAGNeT uses different sampling compared to MusicGen*")
with gr.Row():
temperature_slider = gr.Slider(
minimum=1.0,
maximum=5.0,
value=3.0,
step=0.1,
label="Temperature",
info="Higher values recommended (3.0 default)",
)
cfg_slider = gr.Slider(
minimum=1.0,
maximum=10.0,
value=3.0,
step=0.5,
label="CFG Coefficient",
)
with gr.Row():
top_k_slider = gr.Slider(
minimum=0,
maximum=500,
value=0,
step=10,
label="Top-K",
info="0 recommended for MAGNeT",
)
top_p_slider = gr.Slider(
minimum=0.0,
maximum=1.0,
value=0.9,
step=0.05,
label="Top-P",
info="0.9 recommended for MAGNeT",
)
with gr.Row():
decoding_steps_slider = gr.Slider(
minimum=10,
maximum=100,
value=20,
step=5,
label="Decoding Steps",
info="More steps = better quality, slower",
)
span_arrangement = gr.Dropdown(
label="Span Arrangement",
choices=[("No Overlap", "nonoverlap"), ("Overlap", "stride1")],
value="nonoverlap",
)
with gr.Row():
seed_input = gr.Number(
value=None,
label="Seed (empty = random)",
precision=0,
)
# Generate buttons
with gr.Row():
generate_btn = gr.Button("⚡ Generate", variant="primary", scale=2)
queue_btn = gr.Button("Add to Queue", variant="secondary", scale=1)
# Right column - output
with gr.Column(scale=3):
output = create_generation_output()
# Event handlers
# Preset change
def apply_preset(preset_id: str):
for p in presets:
if p["id"] == preset_id:
params = p["parameters"]
return (
params.get("duration", 10),
params.get("temperature", 3.0),
params.get("cfg_coef", 3.0),
params.get("top_k", 0),
params.get("top_p", 0.9),
params.get("decoding_steps", 20),
)
return gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
preset_dropdown.change(
fn=apply_preset,
inputs=[preset_dropdown],
outputs=[duration_slider, temperature_slider, cfg_slider, top_k_slider, top_p_slider, decoding_steps_slider],
)
# Prompt suggestions
for btn, suggestion in suggestion_btns:
btn.click(
fn=lambda s=suggestion: s,
outputs=[prompt_input],
)
# Generate
async def do_generate(
prompt, variant, duration, temperature, cfg_coef, top_k, top_p, decoding_steps, span_arr, seed
):
if not prompt:
return (
gr.update(value="Please enter a prompt"),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
yield (
gr.update(value="🔄 Generating..."),
gr.update(visible=True, value=0),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
try:
result, generation = await generate_fn(
model_id="magnet",
variant=variant,
prompts=[prompt],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
decoding_steps=int(decoding_steps),
span_arrangement=span_arr,
seed=int(seed) if seed else None,
)
yield (
gr.update(value="✅ Generation complete!"),
gr.update(visible=False),
gr.update(value=generation.audio_path),
gr.update(),
gr.update(value=f"{result.duration:.2f}s"),
gr.update(value=str(result.seed)),
)
except Exception as e:
yield (
gr.update(value=f"❌ Error: {str(e)}"),
gr.update(visible=False),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
generate_btn.click(
fn=do_generate,
inputs=[
prompt_input,
variant_dropdown,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
decoding_steps_slider,
span_arrangement,
seed_input,
],
outputs=[
output["status"],
output["progress"],
output["player"]["audio"],
output["player"]["waveform"],
output["player"]["duration"],
output["player"]["seed"],
],
)
# Add to queue
def do_add_queue(prompt, variant, duration, temperature, cfg_coef, top_k, top_p, decoding_steps, span_arr, seed):
if not prompt:
return "Please enter a prompt"
job = add_to_queue_fn(
model_id="magnet",
variant=variant,
prompts=[prompt],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
decoding_steps=int(decoding_steps),
span_arrangement=span_arr,
seed=int(seed) if seed else None,
)
return f"✅ Added to queue: {job.id}"
queue_btn.click(
fn=do_add_queue,
inputs=[
prompt_input,
variant_dropdown,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
decoding_steps_slider,
span_arrangement,
seed_input,
],
outputs=[output["status"]],
)
return {
"preset": preset_dropdown,
"variant": variant_dropdown,
"prompt": prompt_input,
"duration": duration_slider,
"temperature": temperature_slider,
"cfg_coef": cfg_slider,
"top_k": top_k_slider,
"top_p": top_p_slider,
"decoding_steps": decoding_steps_slider,
"span_arrangement": span_arrangement,
"seed": seed_input,
"generate_btn": generate_btn,
"queue_btn": queue_btn,
"output": output,
}

325
src/ui/tabs/musicgen_tab.py Normal file
View File

@@ -0,0 +1,325 @@
"""MusicGen tab for text-to-music generation."""
import gradio as gr
from typing import Any, Callable, Optional
from src.ui.state import DEFAULT_PRESETS, PROMPT_SUGGESTIONS
from src.ui.components.audio_player import create_generation_output
MUSICGEN_VARIANTS = [
{"id": "small", "name": "Small", "vram_mb": 1500, "description": "Fast, 300M params"},
{"id": "medium", "name": "Medium", "vram_mb": 5000, "description": "Balanced, 1.5B params"},
{"id": "large", "name": "Large", "vram_mb": 10000, "description": "Best quality, 3.3B params"},
{"id": "melody", "name": "Melody", "vram_mb": 5000, "description": "With melody conditioning"},
{"id": "stereo-small", "name": "Stereo Small", "vram_mb": 1800, "description": "Stereo, 300M params"},
{"id": "stereo-medium", "name": "Stereo Medium", "vram_mb": 6000, "description": "Stereo, 1.5B params"},
{"id": "stereo-large", "name": "Stereo Large", "vram_mb": 12000, "description": "Stereo, 3.3B params"},
{"id": "stereo-melody", "name": "Stereo Melody", "vram_mb": 6000, "description": "Stereo with melody"},
]
def create_musicgen_tab(
generate_fn: Callable[..., Any],
add_to_queue_fn: Callable[..., Any],
) -> dict[str, Any]:
"""Create MusicGen generation tab.
Args:
generate_fn: Function to call for generation
add_to_queue_fn: Function to add to queue
Returns:
Dictionary with component references
"""
presets = DEFAULT_PRESETS.get("musicgen", [])
suggestions = PROMPT_SUGGESTIONS.get("musicgen", [])
with gr.Column():
gr.Markdown("## 🎵 MusicGen")
gr.Markdown("Generate music from text descriptions")
with gr.Row():
# Left column - inputs
with gr.Column(scale=2):
# Preset selector
preset_choices = [(p["name"], p["id"]) for p in presets] + [("Custom", "custom")]
preset_dropdown = gr.Dropdown(
label="Preset",
choices=preset_choices,
value=presets[0]["id"] if presets else "custom",
)
# Model variant
variant_choices = [(f"{v['name']} ({v['vram_mb']/1024:.1f}GB)", v["id"]) for v in MUSICGEN_VARIANTS]
variant_dropdown = gr.Dropdown(
label="Model Variant",
choices=variant_choices,
value="medium",
)
# Prompt input
prompt_input = gr.Textbox(
label="Prompt",
placeholder="Describe the music you want to generate...",
lines=3,
max_lines=5,
)
# Prompt suggestions
with gr.Accordion("Prompt Suggestions", open=False):
suggestion_btns = []
for i, suggestion in enumerate(suggestions[:4]):
btn = gr.Button(suggestion[:60] + "...", size="sm", variant="secondary")
suggestion_btns.append((btn, suggestion))
# Melody conditioning (for melody variants)
with gr.Group(visible=False) as melody_section:
gr.Markdown("### Melody Conditioning")
melody_input = gr.Audio(
label="Reference Melody",
type="filepath",
sources=["upload", "microphone"],
)
gr.Markdown("*Upload audio to condition generation on its melody*")
# Parameters
gr.Markdown("### Parameters")
duration_slider = gr.Slider(
minimum=1,
maximum=30,
value=10,
step=1,
label="Duration (seconds)",
)
with gr.Accordion("Advanced Parameters", open=False):
with gr.Row():
temperature_slider = gr.Slider(
minimum=0.0,
maximum=2.0,
value=1.0,
step=0.05,
label="Temperature",
)
cfg_slider = gr.Slider(
minimum=1.0,
maximum=10.0,
value=3.0,
step=0.5,
label="CFG Coefficient",
)
with gr.Row():
top_k_slider = gr.Slider(
minimum=0,
maximum=500,
value=250,
step=10,
label="Top-K",
)
top_p_slider = gr.Slider(
minimum=0.0,
maximum=1.0,
value=0.0,
step=0.05,
label="Top-P",
)
with gr.Row():
seed_input = gr.Number(
value=None,
label="Seed (empty = random)",
precision=0,
)
# Generate buttons
with gr.Row():
generate_btn = gr.Button("🎵 Generate", variant="primary", scale=2)
queue_btn = gr.Button("Add to Queue", variant="secondary", scale=1)
# Right column - output
with gr.Column(scale=3):
output = create_generation_output()
# Event handlers
# Preset change
def apply_preset(preset_id: str):
for p in presets:
if p["id"] == preset_id:
params = p["parameters"]
return (
params.get("duration", 10),
params.get("temperature", 1.0),
params.get("cfg_coef", 3.0),
params.get("top_k", 250),
params.get("top_p", 0.0),
)
# Custom preset - don't change values
return gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
preset_dropdown.change(
fn=apply_preset,
inputs=[preset_dropdown],
outputs=[duration_slider, temperature_slider, cfg_slider, top_k_slider, top_p_slider],
)
# Variant change - show/hide melody section
def on_variant_change(variant: str):
show_melody = "melody" in variant.lower()
return gr.update(visible=show_melody)
variant_dropdown.change(
fn=on_variant_change,
inputs=[variant_dropdown],
outputs=[melody_section],
)
# Prompt suggestions
for btn, suggestion in suggestion_btns:
btn.click(
fn=lambda s=suggestion: s,
outputs=[prompt_input],
)
# Generate
async def do_generate(
prompt, variant, duration, temperature, cfg_coef, top_k, top_p, seed, melody
):
if not prompt:
return (
gr.update(value="Please enter a prompt"),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
# Update status
yield (
gr.update(value="🔄 Generating..."),
gr.update(visible=True, value=0),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
try:
conditioning = {}
if melody:
conditioning["melody"] = melody
result, generation = await generate_fn(
model_id="musicgen",
variant=variant,
prompts=[prompt],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
conditioning=conditioning,
)
yield (
gr.update(value="✅ Generation complete!"),
gr.update(visible=False),
gr.update(value=generation.audio_path),
gr.update(),
gr.update(value=f"{result.duration:.2f}s"),
gr.update(value=str(result.seed)),
)
except Exception as e:
yield (
gr.update(value=f"❌ Error: {str(e)}"),
gr.update(visible=False),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
generate_btn.click(
fn=do_generate,
inputs=[
prompt_input,
variant_dropdown,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
melody_input,
],
outputs=[
output["status"],
output["progress"],
output["player"]["audio"],
output["player"]["waveform"],
output["player"]["duration"],
output["player"]["seed"],
],
)
# Add to queue
def do_add_queue(prompt, variant, duration, temperature, cfg_coef, top_k, top_p, seed, melody):
if not prompt:
return "Please enter a prompt"
conditioning = {}
if melody:
conditioning["melody"] = melody
job = add_to_queue_fn(
model_id="musicgen",
variant=variant,
prompts=[prompt],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
conditioning=conditioning,
)
return f"✅ Added to queue: {job.id}"
queue_btn.click(
fn=do_add_queue,
inputs=[
prompt_input,
variant_dropdown,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
melody_input,
],
outputs=[output["status"]],
)
return {
"preset": preset_dropdown,
"variant": variant_dropdown,
"prompt": prompt_input,
"melody": melody_input,
"duration": duration_slider,
"temperature": temperature_slider,
"cfg_coef": cfg_slider,
"top_k": top_k_slider,
"top_p": top_p_slider,
"seed": seed_input,
"generate_btn": generate_btn,
"queue_btn": queue_btn,
"output": output,
}

292
src/ui/tabs/style_tab.py Normal file
View File

@@ -0,0 +1,292 @@
"""MusicGen Style tab for style-conditioned generation."""
import gradio as gr
from typing import Any, Callable, Optional
from src.ui.state import DEFAULT_PRESETS, PROMPT_SUGGESTIONS
from src.ui.components.audio_player import create_generation_output
STYLE_VARIANTS = [
{"id": "medium", "name": "Medium", "vram_mb": 5000, "description": "1.5B params, style conditioning"},
]
def create_style_tab(
generate_fn: Callable[..., Any],
add_to_queue_fn: Callable[..., Any],
) -> dict[str, Any]:
"""Create MusicGen Style generation tab.
Args:
generate_fn: Function to call for generation
add_to_queue_fn: Function to add to queue
Returns:
Dictionary with component references
"""
presets = DEFAULT_PRESETS.get("musicgen-style", [])
suggestions = PROMPT_SUGGESTIONS.get("musicgen", [])
with gr.Column():
gr.Markdown("## 🎨 MusicGen Style")
gr.Markdown("Generate music conditioned on the style of reference audio")
with gr.Row():
# Left column - inputs
with gr.Column(scale=2):
# Preset selector
preset_choices = [(p["name"], p["id"]) for p in presets] + [("Custom", "custom")]
preset_dropdown = gr.Dropdown(
label="Preset",
choices=preset_choices,
value=presets[0]["id"] if presets else "custom",
)
# Model variant
variant_choices = [(f"{v['name']} ({v['vram_mb']/1024:.1f}GB)", v["id"]) for v in STYLE_VARIANTS]
variant_dropdown = gr.Dropdown(
label="Model Variant",
choices=variant_choices,
value="medium",
)
# Prompt input
prompt_input = gr.Textbox(
label="Text Prompt",
placeholder="Describe additional characteristics for the music...",
lines=3,
max_lines=5,
info="Optional: combine with style conditioning",
)
# Style conditioning (required)
gr.Markdown("### Style Conditioning")
gr.Markdown("*Upload reference audio to extract musical style*")
style_input = gr.Audio(
label="Style Reference",
type="filepath",
sources=["upload", "microphone"],
)
style_info = gr.Markdown(
"*The model will learn the style (instrumentation, tempo, mood) from this audio*"
)
# Parameters
gr.Markdown("### Parameters")
duration_slider = gr.Slider(
minimum=1,
maximum=30,
value=10,
step=1,
label="Duration (seconds)",
)
with gr.Accordion("Advanced Parameters", open=False):
with gr.Row():
temperature_slider = gr.Slider(
minimum=0.0,
maximum=2.0,
value=1.0,
step=0.05,
label="Temperature",
)
cfg_slider = gr.Slider(
minimum=1.0,
maximum=10.0,
value=3.0,
step=0.5,
label="CFG Coefficient",
)
with gr.Row():
top_k_slider = gr.Slider(
minimum=0,
maximum=500,
value=250,
step=10,
label="Top-K",
)
top_p_slider = gr.Slider(
minimum=0.0,
maximum=1.0,
value=0.0,
step=0.05,
label="Top-P",
)
with gr.Row():
seed_input = gr.Number(
value=None,
label="Seed (empty = random)",
precision=0,
)
# Generate buttons
with gr.Row():
generate_btn = gr.Button("🎨 Generate", variant="primary", scale=2)
queue_btn = gr.Button("Add to Queue", variant="secondary", scale=1)
# Right column - output
with gr.Column(scale=3):
output = create_generation_output()
# Event handlers
# Preset change
def apply_preset(preset_id: str):
for p in presets:
if p["id"] == preset_id:
params = p["parameters"]
return (
params.get("duration", 10),
params.get("temperature", 1.0),
params.get("cfg_coef", 3.0),
params.get("top_k", 250),
params.get("top_p", 0.0),
)
return gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
preset_dropdown.change(
fn=apply_preset,
inputs=[preset_dropdown],
outputs=[duration_slider, temperature_slider, cfg_slider, top_k_slider, top_p_slider],
)
# Generate
async def do_generate(
prompt, variant, style_audio, duration, temperature, cfg_coef, top_k, top_p, seed
):
if not style_audio:
return (
gr.update(value="Please upload a style reference audio"),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
yield (
gr.update(value="🔄 Generating..."),
gr.update(visible=True, value=0),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
try:
conditioning = {"style": style_audio}
result, generation = await generate_fn(
model_id="musicgen-style",
variant=variant,
prompts=[prompt] if prompt else [""],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
conditioning=conditioning,
)
yield (
gr.update(value="✅ Generation complete!"),
gr.update(visible=False),
gr.update(value=generation.audio_path),
gr.update(),
gr.update(value=f"{result.duration:.2f}s"),
gr.update(value=str(result.seed)),
)
except Exception as e:
yield (
gr.update(value=f"❌ Error: {str(e)}"),
gr.update(visible=False),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
generate_btn.click(
fn=do_generate,
inputs=[
prompt_input,
variant_dropdown,
style_input,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
],
outputs=[
output["status"],
output["progress"],
output["player"]["audio"],
output["player"]["waveform"],
output["player"]["duration"],
output["player"]["seed"],
],
)
# Add to queue
def do_add_queue(prompt, variant, style_audio, duration, temperature, cfg_coef, top_k, top_p, seed):
if not style_audio:
return "Please upload a style reference audio"
conditioning = {"style": style_audio}
job = add_to_queue_fn(
model_id="musicgen-style",
variant=variant,
prompts=[prompt] if prompt else [""],
duration=duration,
temperature=temperature,
top_k=int(top_k),
top_p=top_p,
cfg_coef=cfg_coef,
seed=int(seed) if seed else None,
conditioning=conditioning,
)
return f"✅ Added to queue: {job.id}"
queue_btn.click(
fn=do_add_queue,
inputs=[
prompt_input,
variant_dropdown,
style_input,
duration_slider,
temperature_slider,
cfg_slider,
top_k_slider,
top_p_slider,
seed_input,
],
outputs=[output["status"]],
)
return {
"preset": preset_dropdown,
"variant": variant_dropdown,
"prompt": prompt_input,
"style": style_input,
"duration": duration_slider,
"temperature": temperature_slider,
"cfg_coef": cfg_slider,
"top_k": top_k_slider,
"top_p": top_p_slider,
"seed": seed_input,
"generate_btn": generate_btn,
"queue_btn": queue_btn,
"output": output,
}