forked from lkrsnik/classla-api
Cleaning code2
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app.py
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app.py
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@ -1,4 +1,3 @@
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import torch
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from flask import Flask, request
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from flask import Flask, request
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import classla
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import classla
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import gc
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import gc
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@ -7,8 +6,6 @@ classla.download('sl')
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classla.download('sl', type='standard_jos')
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classla.download('sl', type='standard_jos')
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classla.download('sl', type='nonstandard')
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classla.download('sl', type='nonstandard')
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print(f'USE GPU = {torch.cuda.is_available()}')
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nlp_standard_UD = classla.Pipeline('sl', pos_use_lexicon=True)
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nlp_standard_UD = classla.Pipeline('sl', pos_use_lexicon=True)
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nlp_standard_JOS = classla.Pipeline('sl', pos_use_lexicon=True, type='standard_jos')
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nlp_standard_JOS = classla.Pipeline('sl', pos_use_lexicon=True, type='standard_jos')
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nlp_nonstandard_UD = classla.Pipeline('sl', type='nonstandard')
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nlp_nonstandard_UD = classla.Pipeline('sl', type='nonstandard')
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