mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-05 04:22:46 +08:00
46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
# Download moda ASR related models
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from modelscope import snapshot_download
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model_dir = snapshot_download('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',revision="v2.0.4")
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model_dir = snapshot_download('damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',revision="v2.0.4")
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model_dir = snapshot_download('damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',revision="v2.0.4")
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import nltk
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nltk.download('averaged_perceptron_tagger_eng')
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# Download https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip unzip and rename to G2PWModel, and then place them in GPT_SoVITS/text.
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import os
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import zipfile
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import shutil
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import requests
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# 获取当前文件的路径
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current_file_path = os.path.abspath(__file__)
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current_dir = os.path.dirname(current_file_path)
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# 定义下载链接和目标路径
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url = 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip'
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download_path = os.path.join(current_dir, 'G2PWModel_1.1.zip')
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target_dir = os.path.join(current_dir, '../GPT_SoVITS/text/')
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# 下载文件
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response = requests.get(url)
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with open(download_path, 'wb') as file:
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file.write(response.content)
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# 解压文件
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with zipfile.ZipFile(download_path, 'r') as zip_ref:
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zip_ref.extractall(current_dir)
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# 重命名解压后的文件夹
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os.rename(os.path.join(current_dir, 'G2PWModel_1.1'), os.path.join(current_dir, 'G2PWModel'))
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# 移动文件夹到目标目录
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if not os.path.exists(target_dir):
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os.makedirs(target_dir)
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shutil.move(os.path.join(current_dir, 'G2PWModel'), target_dir)
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# 清理临时文件
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os.remove(download_path)
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print("Download G2PWModel successfully") |