train

游雁

2024-03-27 08392f28ecfd9e00edd9a6bf09ee30730857aa5f

 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
        "jieba",
        # "rotary_embedding_torch",
        "rotary_embedding_torch",
        # "ffmpeg-python",
        # TTS
        # "pypinyin>=0.44.0",
        # "espnet_tts_frontend",
        # ENH
@@ -54,6 +52,7 @@
        "torch_optimizer",
        "fairscale",
        "transformers",
        "openai-whisper"
    ],
    "setup": [
        "numpy",
@@ -96,6 +95,7 @@
    ],
}
requirements["all"].extend(requirements["train"])
requirements["all"].extend(requirements["llm"])
requirements["test"].extend(requirements["train"])

install_requires = requirements["install"]
@@ -140,6 +140,11 @@
    ],
    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",
        "funasr-scp2jsonl = funasr.datasets.audio_datasets.scp2jsonl:main_hydra",
        "funasr-jsonl2scp = funasr.datasets.audio_datasets.jsonl2scp:main_hydra",
    ]},
)