# -*- mode: python ; coding: utf-8 -*-


a = Analysis(
    ['run_gui.py'],
    pathex=[],
    binaries=[],
    datas=[('medical_terms.txt', '.'), ('app_config.json', '.'), ('pipeline', 'pipeline'), ('app', 'app'), ('corrector', 'corrector'), ('stt', 'stt'), ('knowledge_base', 'knowledge_base'), ('common', 'common')],
    hiddenimports=['PyQt6', 'PyQt6.QtGui', 'PyQt6.QtCore', 'PyQt6.QtWidgets', 'transformers', 'torch', 'librosa', 'soundfile', 'numpy', 'docx', 'requests'],
    hookspath=[],
    hooksconfig={},
    runtime_hooks=[],
    excludes=['matplotlib', 'tensorboard', 'pytest', 'IPython'],
    noarchive=False,
    optimize=0,
)
pyz = PYZ(a.pure)

exe = EXE(
    pyz,
    a.scripts,
    [],
    exclude_binaries=True,
    name='MedicalTranscriber',
    debug=False,
    bootloader_ignore_signals=False,
    strip=False,
    upx=True,
    console=False,
    disable_windowed_traceback=False,
    argv_emulation=False,
    target_arch=None,
    codesign_identity=None,
    entitlements_file=None,
)
coll = COLLECT(
    exe,
    a.binaries,
    a.datas,
    strip=False,
    upx=True,
    upx_exclude=[],
    name='MedicalTranscriber',
)