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Build error
github-actions[bot] commited on
Commit Β·
b120a3a
1
Parent(s): 32181fa
Automated UV deployment
Browse files
=0.1.4
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@@ -23,9 +23,9 @@ Requirement already satisfied: sniffio>=1.1 in /opt/hostedtoolcache/Python/3.12.
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Requirement already satisfied: click>=8.0.0 in /opt/hostedtoolcache/Python/3.12.12/x64/lib/python3.12/site-packages (from typer-slim->huggingface-hub>=0.30) (8.2.1)
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Downloading huggingface_hub-1.1.2-py3-none-any.whl (514 kB)
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Downloading hf_xet-1.2.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB)
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ββββββββββββββββββββββββββββββββββββββββ 3.3/3.3 MB
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Downloading hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
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ββββββββββββββββββββββββββββββββββββββββ 3.6/3.6 MB
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Downloading typer_slim-0.20.0-py3-none-any.whl (47 kB)
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Installing collected packages: typer-slim, hf-xet, hf-transfer, huggingface-hub
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Requirement already satisfied: click>=8.0.0 in /opt/hostedtoolcache/Python/3.12.12/x64/lib/python3.12/site-packages (from typer-slim->huggingface-hub>=0.30) (8.2.1)
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Downloading huggingface_hub-1.1.2-py3-none-any.whl (514 kB)
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Downloading hf_xet-1.2.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB)
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ββββββββββββββββββββββββββββββββββββββββ 3.3/3.3 MB 76.6 MB/s 0:00:00
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Downloading hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
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ββββββββββββββββββββββββββββββββββββββββ 3.6/3.6 MB 397.6 MB/s 0:00:00
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Downloading typer_slim-0.20.0-py3-none-any.whl (47 kB)
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Installing collected packages: typer-slim, hf-xet, hf-transfer, huggingface-hub
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ui/app.py
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@@ -32,6 +32,10 @@ ROOT = Path(__file__).resolve().parents[1] # project root
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if str(ROOT) not in sys.path:
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sys.path.insert(0, str(ROOT))
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from config import make_path
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from app.pipeline.scene_detect import SceneDetector
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from app.pipeline.frame_extract import FrameExtractor
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if str(ROOT) not in sys.path:
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sys.path.insert(0, str(ROOT))
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# For debugging path issues
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print("sys.path:", sys.path)
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print("ROOT:", ROOT)
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from config import make_path
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from app.pipeline.scene_detect import SceneDetector
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from app.pipeline.frame_extract import FrameExtractor
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