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--- |
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title: Automatic Speech Recognition Speech To Text |
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emoji: 🔊🔄📝 |
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colorFrom: red |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 5.26.0 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: Automatic-Speech-Recognition-Speech-to-Text |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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# Clone repository |
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git clone https://huggingface.co/spaces/hchcsuim/Automatic-Speech-Recognition-Speech-to-Text |
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cd Automatic-Speech-Recognition-Speech-to-Text |
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# windows 安裝 ffmpeg |
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https://ffmpeg.org/download.html |
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下載版本 ffmpeg-git-full.7z |
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解壓縮到 C:\ffmpeg |
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加入環境變數 系統變數 path C:\ffmpeg\bin |
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# 要在電腦環境先安裝 python 3.10 |
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# Create and activate Python environment |
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python -m venv env |
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source env/bin/activate # for linux |
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env\Scripts\activate # for windows |
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# 或者在 vscode 手動切換預設環境 |
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Ctrl+Shift+P |
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Python: Select Interpreter |
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# Install dependencies |
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# requirements.txt is for Hugging Face Spaces |
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pip install -r requirements_local.txt |
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# 驗證 GPU 支援 |
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(env_new) C:\Users\user\Automatic-Speech-Recognition-Speech-to-Text>python |
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import torch |
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print(f"CUDA available: {torch.cuda.is_available()}") |
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if torch.cuda.is_available(): |
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print(f"GPU: {torch.cuda.get_device_name(0)}") |
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# Run the app |
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python app.py |
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