Spaces:
Running on Zero
Running on Zero
fix(deploy): align m7 with claude.md — models/<org>/<repo> layout + gpu estimator
Browse files
app.py
CHANGED
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@@ -29,9 +29,11 @@ DO NOT switch this back to ``gr.Tabs`` — that produces top-positioned
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horizontal tabs which contradicts the wireframes.
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On HF Spaces (``SPACE_ID`` env present), ``_bootstrap_spaces_cache()``
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runs once on import to
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"""
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from __future__ import annotations
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@@ -46,6 +48,8 @@ os.environ.setdefault("HF_HUB_ENABLE_HF_TRANSFER", "1")
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import hashlib
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import random
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from pathlib import Path
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import gradio as gr
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@@ -68,64 +72,124 @@ def get_backend() -> be.ACEStepStudioBackend:
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return _BACKEND
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"
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The acestep-apple-silicon fork resolves checkpoints relative to its own install
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location (``.venv/.../site-packages/checkpoints/``). HF Spaces puts model weights
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in the HF hub cache. This bootstrap snapshot-downloads the two required repos
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into the cache (using preload mirror if available) and then symlinks each
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snapshot child into ``checkpoints/`` so the fork's resolver finds them.
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"""
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return
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import site
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from huggingface_hub import snapshot_download
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if target_dir.exists():
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return # already bootstrapped
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# Download the XL SFT diffusion variant.
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xl_sft_path = snapshot_download(
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repo_id="ACE-Step/acestep-v15-xl-sft",
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cache_dir=hf_home,
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)
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def _maybe_spaces_gpu():
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"""Return ``@spaces.GPU(duration=
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The
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"""
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if os.getenv("SPACE_ID"):
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try:
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import spaces
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return spaces.GPU(duration=
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except ImportError:
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pass
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@@ -263,7 +327,7 @@ def on_lora_strength_change(state, strength: float):
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return new_state, _active_md(new_state["name"], float(strength), kind)
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@_maybe_spaces_gpu()
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def on_generate_click(
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prompt: str,
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lyrics: str,
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@@ -292,7 +356,7 @@ def on_generate_click(
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return out_path, meta, new_history
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@_maybe_spaces_gpu()
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def on_cover_click(
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ref_audio,
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prompt: str,
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@@ -324,7 +388,7 @@ def on_cover_click(
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return out_path, meta, new_history
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@_maybe_spaces_gpu()
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def on_extend_click(
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seed_audio,
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extra_prompt: str,
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@@ -364,7 +428,7 @@ def on_extend_click(
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return out_path, meta, new_history
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@_maybe_spaces_gpu()
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def on_draft_lyrics(
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brief: str,
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structure: str,
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@@ -442,7 +506,7 @@ def on_export_mp3(audio_path):
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return gr.File(value=str(out), visible=True)
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@_maybe_spaces_gpu()
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def on_edit_click(
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source_audio,
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sub_mode: str,
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horizontal tabs which contradicts the wireframes.
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On HF Spaces (``SPACE_ID`` env present), ``_bootstrap_spaces_cache()``
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runs once on import to (a) hardlink-mirror the build-user-owned HF hub
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cache into a runtime-writable ``~/hf-cache-rw/`` and (b) symlink the
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preloaded snapshots into ``./models/<org>/<repo>/`` so ACE-Step's
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checkpoint resolver finds them. On Mac/Linux locally, it's a no-op —
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local dev uses ``setup.sh``'s site-packages symlink instead.
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"""
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from __future__ import annotations
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import hashlib
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import random
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import shutil # noqa: F401 (reserved for future cleanup paths)
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import subprocess
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from pathlib import Path
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import gradio as gr
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return _BACKEND
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_PRELOAD_REPOS = (
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"ACE-Step/Ace-Step1.5",
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"ACE-Step/acestep-v15-xl-sft",
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)
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def _hf_cache_rw_dir() -> Path:
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return Path.home() / "hf-cache-rw"
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def _mirror_hf_cache() -> None:
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"""Hardlink-mirror the build-user HF hub cache to a runtime-writable location.
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HF Spaces ships the preloaded weights under ~/.cache/huggingface/hub owned by
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the build user (read-only at runtime). Hardlink them to ~/hf-cache-rw so the
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runtime user can write new files alongside the preloaded snapshots without
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paying the storage cost twice.
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"""
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src = Path.home() / ".cache" / "huggingface"
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dst = _hf_cache_rw_dir()
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if dst.exists():
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return
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if not src.exists():
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# Nothing preloaded yet — create the empty target so HF_HOME points somewhere valid.
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dst.mkdir(parents=True, exist_ok=True)
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return
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# `cp -al` = archive + hardlinks → fast, no duplicate bytes.
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subprocess.run(["cp", "-al", str(src), str(dst)], check=True)
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def _symlink_snapshots_into_models() -> None:
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"""Create ./models/<org>/<repo>/ → latest snapshot dir for each preloaded repo."""
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from huggingface_hub import snapshot_download
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project_models = Path("./models").resolve()
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for repo_id in _PRELOAD_REPOS:
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# snapshot_download is a no-op when the files are already cached. It returns
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# the resolved snapshot dir on disk.
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snap = Path(snapshot_download(repo_id=repo_id, cache_dir=os.environ.get("HF_HOME")))
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target = project_models / repo_id # e.g. ./models/ACE-Step/Ace-Step1.5
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target.parent.mkdir(parents=True, exist_ok=True)
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if target.exists() or target.is_symlink():
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continue
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target.symlink_to(snap)
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def _bootstrap_spaces_cache() -> None:
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"""On HF Spaces, prepare ./models/<org>/<repo>/ so ACE-Step finds preloaded weights.
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Skipped locally — local dev uses setup.sh's site-packages symlink instead, since
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the apple-silicon fork hardcodes its checkpoint resolver to its own install dir.
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"""
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if not os.getenv("SPACE_ID"):
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return
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_mirror_hf_cache()
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os.environ["HF_HOME"] = str(_hf_cache_rw_dir())
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_symlink_snapshots_into_models()
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_GPU_BASE_BY_MODE = {
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"generate": 30,
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"cover": 40,
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"extend": 30,
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"edit": 30,
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"lyrics": 15, # CPU-only typically — lyrics LM runs short on GPU too
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}
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_GPU_CLAMP_MIN = 60
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_GPU_CLAMP_MAX = 300
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def _estimate_gpu_duration(mode: str, params: dict, multiplier: float = 1.0) -> int:
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"""Estimate per-call GPU duration in seconds.
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Inputs:
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mode: one of generate/cover/extend/edit/lyrics
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params: dict that may contain "duration_s" — the requested audio length
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multiplier: safety factor (1.0 = nominal, 1.5 = pessimistic)
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Returns int seconds, clamped to [60, 300].
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"""
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base = _GPU_BASE_BY_MODE.get(mode, 30)
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duration_s = float(params.get("duration_s") or 30)
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# Roughly 2x realtime on a ZeroGPU L4 — generation > playback length.
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estimated = base + duration_s * 2.0 * float(multiplier)
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return max(_GPU_CLAMP_MIN, min(_GPU_CLAMP_MAX, int(estimated)))
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def _gpu_call_to_estimator(mode: str, *, duration_arg_index: int = 2):
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"""Bridge spaces.GPU's per-call (*args, **kwargs) → our (mode, params, multiplier) estimator.
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spaces.GPU(duration=callable) invokes the callable with the handler's actual
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runtime args. The handlers here have signature roughly:
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on_<mode>_click(prompt_or_seed, lyrics_or_other, duration_s, ...)
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so duration_s is at position 2 by default. The kwargs path also works.
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"""
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def from_call(*args, **kwargs):
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duration_s = kwargs.get("duration_s")
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if duration_s is None and len(args) > duration_arg_index:
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candidate = args[duration_arg_index]
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if isinstance(candidate, (int, float)):
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duration_s = candidate
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return _estimate_gpu_duration(mode, {"duration_s": duration_s})
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return from_call
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def _maybe_spaces_gpu(mode: str):
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"""Return ``@spaces.GPU(duration=<callable>)`` on HF Spaces, otherwise a no-op decorator.
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The callable estimator gives long extends/edits the time they need (up to 300s)
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while keeping short clips fast (60s floor). Off-Spaces this returns identity.
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"""
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if os.getenv("SPACE_ID"):
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try:
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import spaces
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return spaces.GPU(duration=_gpu_call_to_estimator(mode))
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except ImportError:
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pass
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return new_state, _active_md(new_state["name"], float(strength), kind)
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@_maybe_spaces_gpu("generate")
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def on_generate_click(
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prompt: str,
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lyrics: str,
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return out_path, meta, new_history
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@_maybe_spaces_gpu("cover")
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def on_cover_click(
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ref_audio,
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prompt: str,
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return out_path, meta, new_history
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@_maybe_spaces_gpu("extend")
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def on_extend_click(
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seed_audio,
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extra_prompt: str,
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return out_path, meta, new_history
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@_maybe_spaces_gpu("lyrics")
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def on_draft_lyrics(
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brief: str,
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structure: str,
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return gr.File(value=str(out), visible=True)
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@_maybe_spaces_gpu("edit")
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def on_edit_click(
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source_audio,
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sub_mode: str,
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