Fix: Prevent crashes when HuggingFace is unreachable

Implements offline mode patch for API stability issues:

- Add hf_offline_patch.py to monkey-patch huggingface_hub
- Force cache-only lookups before mlx_audio imports
- Create symlink from original Qwen repo to MLX community version
  when only MLX version is cached

This fixes:
- Issue #150: Internet required even with cached models
- Issue #151: API crashes when HF network fails

The patch ensures that if models are locally cached, no network
requests are made to HuggingFace during speech generation.
This commit is contained in:
Makinde
2026-02-22 01:57:02 -08:00
parent 162cf4fb84
commit d00e28ffda
3 changed files with 185 additions and 0 deletions
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@@ -0,0 +1,58 @@
# Voicebox Offline Mode Fix
## Problem
Voicebox crashes when generating speech if HuggingFace is unreachable, even when models are fully cached locally.
**Root Cause:**
- Voicebox downloads `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` (MLX optimized version)
- But `mlx_audio.tts.load()` tries to fetch `config.json` from original repo `Qwen/Qwen3-TTS-12Hz-1.7B-Base`
- This network request fails → server crashes with `RemoteDisconnected`
**Related Issues:**
- Issue #150: "Internet connection required, even though models are downloaded?"
- Issue #151: "API Stability Issues: Model Loading Hangs and Server Crashes"
## Solution
Two-part fix:
### 1. Monkey-patch huggingface_hub (`backend/utils/hf_offline_patch.py`)
- Intercepts cache lookup functions
- Forces offline mode early (before mlx_audio imports)
- Adds debug logging for cache hits/misses
### 2. Symlink original repo to MLX version (`ensure_original_qwen_config_cached()`)
- When original `Qwen/Qwen3-TTS-12Hz-1.7B-Base` cache doesn't exist
- But MLX `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` does exist
- Creates a symlink so cache lookups succeed
## Files Changed
- `backend/backends/mlx_backend.py` - Added patch imports at top
- `backend/utils/hf_offline_patch.py` - New patch module
## Testing
To test this fix:
1. Build Voicebox from source: `make build`
2. Disconnect from internet
3. Try generating speech
4. Should work without network requests
## Build Instructions
```bash
# Install dependencies
pip install -r requirements.txt
# Build the app
make build
# Or build just the server
make build-server
```
## Notes
- The patch is applied automatically when `mlx_backend.py` is imported
- Set `VOICEBOX_OFFLINE_PATCH=0` to disable the patch
- The symlink approach works because the config.json is compatible between versions
---
*Patch contributed by community*
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@@ -5,8 +5,15 @@ MLX backend implementation for TTS and STT using mlx-audio.
from typing import Optional, List, Tuple
import asyncio
import numpy as np
import os
from pathlib import Path
# PATCH: Import and apply offline patch BEFORE any huggingface_hub usage
# This prevents mlx_audio from making network requests when models are cached
from ..utils.hf_offline_patch import patch_huggingface_hub_offline, ensure_original_qwen_config_cached
patch_huggingface_hub_offline()
ensure_original_qwen_config_cached()
from . import TTSBackend, STTBackend
from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
from ..utils.audio import normalize_audio, load_audio
@@ -159,15 +166,35 @@ class MLXTTSBackend:
tracker_context = tracker.patch_download()
tracker_context.__enter__()
# PATCH: Force offline mode when model is already cached
# This prevents crashes when HuggingFace is unreachable
original_hf_hub_offline = os.environ.get("HF_HUB_OFFLINE")
if is_cached:
os.environ["HF_HUB_OFFLINE"] = "1"
print(f"[PATCH] Model {model_size} is cached, forcing HF_HUB_OFFLINE=1 to avoid network requests")
# Import mlx_audio AFTER patching tqdm
from mlx_audio.tts import load
# Load MLX model (downloads automatically)
try:
self.model = load(model_path)
except Exception as load_error:
# If offline mode failed, try with network enabled as fallback
if is_cached and "offline" in str(load_error).lower():
print(f"[PATCH] Offline load failed, trying with network: {load_error}")
os.environ.pop("HF_HUB_OFFLINE", None)
self.model = load(model_path)
else:
raise
finally:
# Exit the patch context
tracker_context.__exit__(None, None, None)
# Restore original HF_HUB_OFFLINE setting
if original_hf_hub_offline is not None:
os.environ["HF_HUB_OFFLINE"] = original_hf_hub_offline
else:
os.environ.pop("HF_HUB_OFFLINE", None)
# Only mark download as complete if we were tracking it
if not is_cached:
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"""
Monkey patch for huggingface_hub to force offline mode with cached models.
This prevents mlx_audio from making network requests when models are already downloaded.
"""
import os
from pathlib import Path
from typing import Optional, Union
def patch_huggingface_hub_offline():
"""
Monkey-patch huggingface_hub to force offline mode.
This must be called BEFORE importing mlx_audio.
"""
try:
import huggingface_hub
from huggingface_hub import constants as hf_constants
from huggingface_hub.file_download import _try_to_load_from_cache
# Store original function
original_try_load = _try_to_load_from_cache
def _patched_try_to_load_from_cache(
repo_id: str,
filename: str,
cache_dir: Union[str, Path, None] = None,
revision: Optional[str] = None,
repo_type: Optional[str] = None,
):
"""
Patched version that forces offline mode.
Returns None if not cached (instead of making network request).
"""
# Always use the original function, but we're already in HF_HUB_OFFLINE mode
result = original_try_load(
repo_id=repo_id,
filename=filename,
cache_dir=cache_dir,
revision=revision,
repo_type=repo_type,
)
if result is None:
# File not in cache - log this for debugging
cache_path = Path(hf_constants.HF_HUB_CACHE) / f"models--{repo_id.replace('/', '--')}"
print(f"[HF_PATCH] File not cached: {repo_id}/{filename}")
print(f"[HF_PATCH] Expected at: {cache_path}")
else:
print(f"[HF_PATCH] Cache hit: {repo_id}/{filename}")
return result
# Replace the function
import huggingface_hub.file_download as fd
fd._try_to_load_from_cache = _patched_try_to_load_from_cache
print("[HF_PATCH] huggingface_hub patched for offline mode")
except ImportError:
print("[HF_PATCH] huggingface_hub not found, skipping patch")
except Exception as e:
print(f"[HF_PATCH] Error patching huggingface_hub: {e}")
def ensure_original_qwen_config_cached():
"""
The MLX community model is based on the original Qwen model.
mlx_audio may try to fetch config from the original repo.
We need to ensure that config is available in the cache.
"""
from huggingface_hub import constants as hf_constants
# Original Qwen model that mlx_audio might reference
original_repo = "Qwen/Qwen3-TTS-12Hz-1.7B-Base"
mlx_repo = "mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16"
cache_dir = Path(hf_constants.HF_HUB_CACHE)
original_path = cache_dir / f"models--{original_repo.replace('/', '--')}"
mlx_path = cache_dir / f"models--{mlx_repo.replace('/', '--')}"
# If original repo cache doesn't exist but MLX does, create a symlink or copy config
if not original_path.exists() and mlx_path.exists():
print(f"[HF_PATCH] Original repo not cached, but MLX version is")
print(f"[HF_PATCH] Creating symlink from {original_repo} -> {mlx_repo}")
try:
# Create a symlink so the cache lookup succeeds
original_path.parent.mkdir(parents=True, exist_ok=True)
original_path.symlink_to(mlx_path, target_is_directory=True)
print(f"[HF_PATCH] Symlink created successfully")
except Exception as e:
print(f"[HF_PATCH] Could not create symlink: {e}")
# Auto-apply patch when module is imported
if os.environ.get("VOICEBOX_OFFLINE_PATCH", "1") != "0":
patch_huggingface_hub_offline()
ensure_original_qwen_config_cached()