Spaces:
Running on Zero
Running on Zero
Download requirements.txt from WolfDavid/japanese-learning-avatar: direct link, hf CLI and curl.
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https://huggingface.co/spaces/WolfDavid/japanese-learning-avatar/resolve/fbd985ff7754c8ea5773c2af17e7023a7b8e24fd/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/spaces/WolfDavid/japanese-learning-avatar/resolve/fbd985ff7754c8ea5773c2af17e7023a7b8e24fd/requirements.txt
1.19 kB
| gradio==6.22.0 | |
| # NOTE (plan 01-05, first deploy): `spaces` is deliberately NOT pinned here, and must | |
| # not be re-added. The Hugging Face Space builder appends its own pin to the install | |
| # command it generates: | |
| # | |
| # pip install -r /tmp/requirements.txt "torch<=2.11.0" gradio[oauth,mcp]==6.22.0 \ | |
| # "uvicorn>=0.14.0" "websockets>=10.4" spaces==0.51.3 | |
| # | |
| # so pinning spaces==0.51.1 here made pip see two exact pins for one package and the | |
| # build died with `ResolutionImpossible: Cannot install spaces==0.51.1 and | |
| # spaces==0.51.3` (BUILD_ERROR on commit ad85cc8). The platform owns this version on a | |
| # ZeroGPU Space; whatever it injects is what @spaces.GPU will run against. The local | |
| # dev pin still lives in pyproject.toml, where it is ours to choose. | |
| huggingface_hub==1.28.0 | |
| # --- Phase 2 language core (plan 02-01): tokenizer, dictionary, CPU translation runtime. No transformers, no torch - the MT model is pre-converted to CTranslate2 int8 in data/mt/. | |
| SudachiPy==0.6.11 | |
| SudachiDict-core==20260723 | |
| jaconv==0.5.0 | |
| ctranslate2==4.8.2 | |
| sentencepiece==0.2.2 | |
| https://github.com/VOICEVOX/voicevox_core/releases/download/0.17.0/voicevox_core-0.17.0-cp310-abi3-manylinux_2_34_x86_64.whl | |