add demo.py for all kws models (#2107)

sugarcase

2024-09-25 8cd8e25f180b57c74f1ae7fd39001e5af4c20f8b

 setup.py

@@ -14,16 +14,14 @@
        "librosa",
        "jamo",  # For kss
        "PyYAML>=5.1.2",
        # "soundfile>=0.12.1",
        "soundfile>=0.12.1",
        "kaldiio>=2.17.0",
        "torch_complex",
        # "nltk>=3.4.5",
        # ASR
        "sentencepiece", # train
        "sentencepiece",  # train
        "jieba",
        # "rotary_embedding_torch",
        # "ffmpeg-python",
        # TTS
        # "pypinyin>=0.44.0",
        # "espnet_tts_frontend",
        # ENH
@@ -41,7 +39,8 @@
        "jaconv",
        "hydra-core>=1.3.2",
        "tensorboardX",
        "rotary_embedding_torch",
        # "rotary_embedding_torch",
        "requests",
    ],
    # train: The modules invoked when training only.
    "train": [
@@ -54,6 +53,7 @@
        "torch_optimizer",
        "fairscale",
        "transformers",
        "openai-whisper",
    ],
    "setup": [
        "numpy",
@@ -81,9 +81,9 @@
        "recommonmark>=0.4.0",
        "nbsphinx>=0.4.2",
        "sphinx-markdown-tables>=0.0.12",
        "configargparse>=1.2.1"
        "configargparse>=1.2.1",
    ],
    "llm":[
    "llm": [
        "transformers>=4.32.0",
        "accelerate",
        "tiktoken",
@@ -96,14 +96,13 @@
    ],
}
requirements["all"].extend(requirements["train"])
requirements["all"].extend(requirements["llm"])
requirements["test"].extend(requirements["train"])

install_requires = requirements["install"]
setup_requires = requirements["setup"]
tests_require = requirements["test"]
extras_require = {
    k: v for k, v in requirements.items() if k not in ["install", "setup"]
}
extras_require = {k: v for k, v in requirements.items() if k not in ["install", "setup"]}

dirname = os.path.dirname(__file__)
version_file = os.path.join(dirname, "funasr", "version.txt")
@@ -138,8 +137,17 @@
        "License :: OSI Approved :: Apache Software License",
        "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    entry_points={"console_scripts": [
        "funasr = funasr.bin.inference:main_hydra",
        "funasr-export = funasr.bin.export:main_hydra",
    ]},
    entry_points={
        "console_scripts": [
            "funasr = funasr.bin.inference:main_hydra",
            "funasr-train = funasr.bin.train:main_hydra",
            "funasr-export = funasr.bin.export:main_hydra",
            "scp2jsonl = funasr.datasets.audio_datasets.scp2jsonl:main_hydra",
            "jsonl2scp = funasr.datasets.audio_datasets.jsonl2scp:main_hydra",
            "sensevoice2jsonl = funasr.datasets.audio_datasets.sensevoice2jsonl:main_hydra",
            "funasr-scp2jsonl = funasr.datasets.audio_datasets.scp2jsonl:main_hydra",
            "funasr-jsonl2scp = funasr.datasets.audio_datasets.jsonl2scp:main_hydra",
            "funasr-sensevoice2jsonl = funasr.datasets.audio_datasets.sensevoice2jsonl:main_hydra",
        ]
    },
)