- Add robust model cache verification (check model.bin + config.json) - Add new status messages: model_cached, incomplete_cache, model_error - Forward model status events to frontend for better UI feedback - Add clean_build_cache() to remove stale spec files before build - Add --clean flag to PyInstaller commands - Change sidecar from --onefile to --onedir for faster startup - Add missing hidden imports: onnxruntime, wave, huggingface_hub.utils 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Build script for creating standalone transcriber executable using PyInstaller.
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Uses --onedir mode for faster startup compared to --onefile.
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"""
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import subprocess
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import sys
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import os
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import shutil
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def clean_build_cache(script_dir):
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"""Clean old build artifacts that may cause stale spec file issues."""
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dirs_to_clean = [
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os.path.join(script_dir, "build"),
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os.path.join(script_dir, "__pycache__"),
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]
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files_to_clean = [
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os.path.join(script_dir, "build", "transcriber.spec"),
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]
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for f in files_to_clean:
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if os.path.exists(f):
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print(f"Removing old spec file: {f}")
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os.remove(f)
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for d in dirs_to_clean:
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pycache = os.path.join(d)
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if os.path.exists(pycache) and "__pycache__" in pycache:
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print(f"Removing cache: {pycache}")
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shutil.rmtree(pycache)
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def build():
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"""Build the transcriber executable."""
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script_dir = os.path.dirname(os.path.abspath(__file__))
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# Clean old build cache to avoid stale spec file issues
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clean_build_cache(script_dir)
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# PyInstaller command with --onedir for faster startup
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cmd = [
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sys.executable, "-m", "PyInstaller",
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"--onedir",
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"--clean", # Clean PyInstaller cache before building
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"--name", "transcriber",
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"--distpath", "dist",
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"--workpath", "build",
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"--specpath", "build",
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# Core dependencies
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"--hidden-import", "faster_whisper",
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"--hidden-import", "opencc",
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"--hidden-import", "numpy",
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"--hidden-import", "ctranslate2",
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"--hidden-import", "huggingface_hub",
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"--hidden-import", "huggingface_hub.utils",
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"--hidden-import", "tokenizers",
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# ONNX Runtime for VAD
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"--hidden-import", "onnxruntime",
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# Audio processing
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"--hidden-import", "wave",
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# Collect data files
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"--collect-data", "faster_whisper",
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"--collect-data", "opencc",
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"transcriber.py"
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]
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print("Building transcriber executable...")
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print(f"Command: {' '.join(cmd)}")
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result = subprocess.run(cmd, cwd=script_dir)
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if result.returncode == 0:
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print("\nBuild successful!")
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print("Executable created at: dist/transcriber/transcriber.exe (Windows) or dist/transcriber/transcriber (Linux)")
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print("\nNote: The Whisper model will be downloaded on first run if not cached.")
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else:
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print("\nBuild failed!")
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sys.exit(1)
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if __name__ == "__main__":
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build()
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