Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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"ruBert-tiny2": "cointegrated/rubert-tiny2",
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"ruRoberta-large": "sberbank-ai/ruRoberta-large",
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"multilingual-e5": "intfloat/multilingual-e5-base"
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}
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def classify(
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gr.Interface(
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fn=classify,
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inputs=[
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gr.Dropdown(list(
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gr.Textbox(),
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gr.Textbox(value="Овощи,
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],
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outputs=gr.Textbox()
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import gradio as gr
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from transformers import pipeline
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import re
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MODELS = {
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"ruRoberta-large": "sberbank-ai/ruRoberta-large",
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"rubert-tiny2": "cointegrated/rubert-tiny2",
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"multilingual-e5": "intfloat/multilingual-e5-base"
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}
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def classify(model_name: str, item: str, categories: str) -> str:
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# Нормализация текста
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item = re.sub(r"[^а-яА-ЯёЁ]", " ", item).lower().strip()
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classifier = pipeline(
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"zero-shot-classification",
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model=MODELS[model_name],
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device=-1
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)
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hypothesis_template = (
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"Примеры категорий:\n"
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"- молоток → инструменты\n"
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"- картофель → овощи\n"
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"Категория для '{}' → "
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)
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result = classifier(
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item,
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candidate_labels=[c.strip().lower() for c in categories.split(",")],
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hypothesis_template=hypothesis_template,
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multi_label=False
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)
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if result['scores'][0] < 0.3:
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return "Категория не определена"
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return f"{result['labels'][0].capitalize()} ({result['scores'][0]:.2f})"
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iface = gr.Interface(
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fn=classify,
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inputs=[
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gr.Dropdown(list(MODELS.keys()), label="Модель"),
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gr.Textbox(label="Товар"),
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gr.Textbox(label="Категории", value="Инструменты, Овощи, Техника")
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],
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outputs=gr.Textbox(label="Результат"),
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examples=[
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["ruRoberta-large", "Аккумуляторная дрель", "Инструменты, Техника"],
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["rubert-tiny2", "Свёкла кормовая", "Овощи, Фураж"]
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]
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)
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iface.launch()
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