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demo/binary_classifier_demo.py
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@@ -7,12 +7,6 @@ import os
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from model_utils import load_model, classify_text
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from binoculars_utils import initialize_binoculars, compute_scores
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# Initialize Binoculars models
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bino_chat, bino_coder = initialize_binoculars()
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# Load binary classifier model
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model, scaler, label_encoder, imputer = load_model()
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DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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MINIMUM_TOKENS = 200
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@@ -54,6 +48,12 @@ def run_binary_classifier(text, show_analysis=False):
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if len(text.strip()) < MINIMUM_TOKENS:
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return gr.Markdown(f"Текст слишком короткий. Требуется минимум {MINIMUM_TOKENS} символов."), None, None
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# Compute scores using binoculars
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scores = compute_scores(text, bino_chat, bino_coder)
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from model_utils import load_model, classify_text
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from binoculars_utils import initialize_binoculars, compute_scores
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DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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MINIMUM_TOKENS = 200
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if len(text.strip()) < MINIMUM_TOKENS:
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return gr.Markdown(f"Текст слишком короткий. Требуется минимум {MINIMUM_TOKENS} символов."), None, None
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# Initialize Binoculars models
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bino_chat, bino_coder = initialize_binoculars()
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# Load binary classifier model
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model, scaler, label_encoder, imputer = load_model()
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# Compute scores using binoculars
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scores = compute_scores(text, bino_chat, bino_coder)
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