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Taejun Kim
commited on
Commit
•
1aa0f5b
1
Parent(s):
edc3710
Use torch with cuda
Browse files- app.py +0 -7
- pre-requirements.txt +1 -1
app.py
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@@ -1,7 +1,3 @@
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import torch
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print(f'=> is cuda available: {torch.cuda.is_available()}')
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import gradio as gr
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import os
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import allin1
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@@ -52,9 +48,6 @@ CACHE_EXAMPLES = os.getenv('CACHE_EXAMPLES', '1') == '1'
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def analyze(path):
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import torch
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print(f'=> is cuda available: {torch.cuda.is_available()}')
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path = Path(path)
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result = allin1.analyze(
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path,
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import gradio as gr
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import os
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import allin1
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def analyze(path):
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path = Path(path)
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result = allin1.analyze(
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path,
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pre-requirements.txt
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch==2.0.1
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torchaudio
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# --extra-index-url https://download.pytorch.org/whl/cpu
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torch==2.0.1
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torchaudio
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