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123
VladislavaNovikova/123
123 is a machine learning model from VladislavaNovikova. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Jan 21, 2026
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- Access
- Public
- Created
- Jan 21, 2026
- Updated
- Jan 21, 2026
- SHA
- e0e2f749
Model card
From the Hugging Face model README
app.py — вставь это в файл в Space
!pip install pypmml gradio
import gradio as gr from pypmml import Model
← СЮДА ВСТАВЬ ВЕСЬ ТЕКСТ PMML как многострочную строку
pmml_content = """<<PMML version="3.0">
<Header copyright="Copyright (c) StatSoft, Inc. All Rights Reserved."> <Application name="STATISTICA Automated Neural Networks (SANN)" version="2.0"/> </Header> <DataDictionary numberOfFields="19"> <DataField name="Потребность РП новорожденного" optype="categorical"> <Value value="ИТ без РП"/> <Value value="Не требует ИТ"/> </DataField> <DataField name="КТГ исходное (STV)" optype="continuous"/> <DataField name="АД сист. при поступлении, мм.рт.ст." optype="continuous"/> <DataField name="АД диаст. при поступлении, мм.рт.ст." optype="continuous"/> <DataField name="Глюкоза крови (вен.), ммоль/л" optype="continuous"/> <DataField name="Hb исх., г/л" optype="continuous"/> <DataField name="Лейкоциты крови исх., 10?/л" optype="continuous"/> <DataField name="Тромбоциты исх., 10?/л" optype="continuous"/> <DataField name="Креатинин крови исх., мкмоль/л" optype="continuous"/> <DataField name="АЛТ исх., ЕД/л" optype="continuous"/> <DataField name="АСТ исх., ЕД/л" optype="continuous"/> <DataField name="Группа" optype="categorical"> <Value value="ЗРП"/> <Value value="МГВ"/> </DataField> <DataField name="Причина НРП" optype="categorical"> <Value value="ГАГ"/> <Value value="Неизвестно"/> <Value value="Тяжелая ПЭ"/> <Value value="ХАГ"/> </DataField> <DataField name="Маточные артерии" optype="categorical"> <Value value="средний ПИ<=95 процентиля"/> <Value value="средний ПИ>95 процентиля"/> </DataField> <DataField name="Артерии пуповины, ПИ" optype="categorical"> <Value value="ПИ<=95 процентиля"/> <Value value="ПИ>95 процентиля"/> </DataField> <DataField name="! Венозный проток, а-волна" optype="categorical"> <Value value="отрицательная"/> <Value value="положительная"/> </DataField> <DataField name="ЦПИ церебро-плацентарный индекс" optype="categorical"> <Value value="ПИ >=5 процентиля"/> <Value value="ПИ<5 процентиля"/> </DataField> <DataField name="Маловодие" optype="categorical"> <Value value="Есть"/> <Value value="Нет"/> </DataField> <DataField name="ДИОВ" optype="categorical"> <Value value="Амниотомия"/> <Value value="Да"/> <Value value="Нет"/> </DataField> </DataDictionary> <NeuralNetwork modelName="!! База Данных Октябрь 2 2025_MLP 29-16-2" functionName="classification"> <MiningSchema> <MiningField name="Потребность РП новорожденного" usageType="predicted"/> <MiningField name="КТГ исходное (STV)" lowValue="5.700000" highValue="15.300000"/> <MiningField name="АД сист. при поступлении, мм.рт.ст." lowValue="120.000000" highValue="140.000000"/> <MiningField name="АД диаст. при поступлении, мм.рт.ст." lowValue="70.000000" highValue="90.000000"/> <MiningField name="Глюкоза крови (вен.), ммоль/л" lowValue="4.000000" highValue="7.400000"/> <MiningField name="Hb исх., г/л" lowValue="104.000000" highValue="138.000000"/> <MiningField name="Лейкоциты крови исх., 10?/л" lowValue="5.100000" highValue="16.500000"/> <MiningField name="Тромбоциты исх., 10?/л" lowValue="115.000000" highValue="418.000000"/> <MiningField name="Креатинин крови исх., мкмоль/л" lowValue="56.300000" highValue="73.400000"/> <MiningField name="АЛТ исх., ЕД/л" lowValue="8.000000" highValue="36.000000"/> <MiningField name="АСТ исх., ЕД/л" lowValue="11.400000" highValue="34.000000"/> <MiningField name="Группа"/> <MiningField name="Причина НРП"/> <MiningField name="Маточные артерии"/> <MiningField name="Артерии пуповины, ПИ"/> <MiningField name="! Венозный проток, а-волна"/> <MiningField name="ЦПИ церебро-плацентарный индекс"/> <MiningField name="Маловодие"/> <MiningField name="ДИОВ"/> </MiningSchema> <NeuralInputs numberOfInputs="29"> <NeuralInput id="0"> <DerivedField> <NormContinuous field="КТГ исходное (STV)" shift="-5.93750000000000e-001" scale="1.04166666666667e-001"> <LinearNorm orig="5.70000000000000e+000" norm="0.000000"/> <LinearNorm orig="1.53000000000000e+001" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="1"> <DerivedField> <NormContinuous field="АД сист. при поступлении, мм.рт.ст." shift="-6.00000000000000e+000" scale="5.00000000000000e-002"> <LinearNorm orig="1.20000000000000e+002" norm="0.000000"/> <LinearNorm orig="1.40000000000000e+002" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="2"> <DerivedField> <NormContinuous field="АД диаст. при поступлении, мм.рт.ст." shift="-3.50000000000000e+000" scale="5.00000000000000e-002"> <LinearNorm orig="7.00000000000000e+001" norm="0.000000"/> <LinearNorm orig="9.00000000000000e+001" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="3"> <DerivedField> <NormContinuous field="Глюкоза крови (вен.), ммоль/л" shift="-1.17647058823529e+000" scale="2.94117647058823e-001"> <LinearNorm orig="4.00000000000000e+000" norm="0.000000"/> <LinearNorm orig="7.40000000000000e+000" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="4"> <DerivedField> <NormContinuous field="Hb исх., г/л" shift="-3.05882352941176e+000" scale="2.94117647058824e-002"> <LinearNorm orig="1.04000000000000e+002" norm="0.000000"/> <LinearNorm orig="1.38000000000000e+002" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="5"> <DerivedField> <NormContinuous field="Лейкоциты крови исх., 10?/л" shift="-4.47368421052632e-001" scale="8.77192982456140e-002"> <LinearNorm orig="5.10000000000000e+000" norm="0.000000"/> <LinearNorm orig="1.65000000000000e+001" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="6"> <DerivedField> <NormContinuous field="Тромбоциты исх., 10?/л" shift="-3.79537953795380e-001" scale="3.30033003300330e-003"> <LinearNorm orig="1.15000000000000e+002" norm="0.000000"/> <LinearNorm orig="4.18000000000000e+002" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="7"> <DerivedField> <NormContinuous field="Креатинин крови исх., мкмоль/л" shift="-3.29239766081871e+000" scale="5.84795321637427e-002"> <LinearNorm orig="5.63000000000000e+001" norm="0.000000"/> <LinearNorm orig="7.34000000000000e+001" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="8"> <DerivedField> <NormContinuous field="АЛТ исх., ЕД/л" shift="-2.85714285714286e-001" scale="3.57142857142857e-002"> <LinearNorm orig="8.00000000000000e+000" norm="0.000000"/> <LinearNorm orig="3.60000000000000e+001" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="9"> <DerivedField> <NormContinuous field="АСТ исх., ЕД/л" shift="-5.04424778761062e-001" scale="4.42477876106195e-002"> <LinearNorm orig="1.14000000000000e+001" norm="0.000000"/> <LinearNorm orig="3.40000000000000e+001" norm="1.000000"/> </NormContinuous> </DerivedField> </NeuralInput> <NeuralInput id="10"> <DerivedField> <NormDiscrete field="Группа" value="ЗРП"/> </DerivedField> </NeuralInput> <NeuralInput id="11"> <DerivedField> <NormDiscrete field="Группа" value="МГВ"/> </DerivedField> </NeuralInput> <NeuralInput id="12"> <DerivedField> <NormDiscrete field="Причина НРП" value="ГАГ"/> </DerivedField> </NeuralInput> <NeuralInput id="13"> <DerivedField> <NormDiscrete field="Причина НРП" value="Неизвестно"/> </DerivedField> </NeuralInput> <NeuralInput id="14"> <DerivedField> <NormDiscrete field="Причина НРП" value="Тяжелая ПЭ"/> </DerivedField> </NeuralInput> <NeuralInput id="15"> <DerivedField> <NormDiscrete field="Причина НРП" value="ХАГ"/> </DerivedField> </NeuralInput> <NeuralInput id="16"> <DerivedField> <NormDiscrete field="Маточные артерии" value="средний ПИ<=95 процентиля"/> </DerivedField> </NeuralInput> <NeuralInput id="17"> <DerivedField> <NormDiscrete field="Маточные артерии" value="средний ПИ>95 процентиля"/> </DerivedField> </NeuralInput> <NeuralInput id="18"> <DerivedField> <NormDiscrete field="Артерии пуповины, ПИ" value="ПИ<=95 процентиля"/> </DerivedField> </NeuralInput> <NeuralInput id="19"> <DerivedField> <NormDiscrete field="Артерии пуповины, ПИ" value="ПИ>95 процентиля"/> </DerivedField> </NeuralInput> <NeuralInput id="20"> <DerivedField> <NormDiscrete field="! Венозный проток, а-волна" value="отрицательная"/> </DerivedField> </NeuralInput> <NeuralInput id="21"> <DerivedField> <NormDiscrete field="! Венозный проток, а-волна" value="положительная"/> </DerivedField> </NeuralInput> <NeuralInput id="22"> <DerivedField> <NormDiscrete field="ЦПИ церебро-плацентарный индекс" value="ПИ >=5 процентиля"/> </DerivedField> </NeuralInput> <NeuralInput id="23"> <DerivedField> <NormDiscrete field="ЦПИ церебро-плацентарный индекс" value="ПИ<5 процентиля"/> </DerivedField> </NeuralInput> <NeuralInput id="24"> <DerivedField> <NormDiscrete field="Маловодие" value="Есть"/> </DerivedField> </NeuralInput> <NeuralInput id="25"> <DerivedField> <NormDiscrete field="Маловодие" value="Нет"/> </DerivedField> </NeuralInput> <NeuralInput id="26"> <DerivedField> <NormDiscrete field="ДИОВ" value="Амниотомия"/> </DerivedField> </NeuralInput> <NeuralInput id="27"> <DerivedField> <NormDiscrete field="ДИОВ" value="Да"/> </DerivedField> </NeuralInput> <NeuralInput id="28"> <DerivedField> <NormDiscrete field="ДИОВ" value="Нет"/> </DerivedField> </NeuralInput> </NeuralInputs> <NeuralLayer numberOfNeurons="16" 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weight="-9.28349979639375e-003"/> <Con from="10" weight="4.44659984965715e-003"/> <Con from="11" weight="3.48048347466660e-003"/> <Con from="12" weight="-4.74232356059406e-002"/> <Con from="13" weight="4.53913990688491e-003"/> <Con from="14" weight="3.08899688548106e-003"/> <Con from="15" weight="-3.43190938285367e-002"/> <Con from="16" weight="5.34985815873134e-002"/> <Con from="17" weight="-2.84614950733085e-002"/> <Con from="18" weight="4.78747126061562e-003"/> <Con from="19" weight="-2.07315922097606e-003"/> <Con from="20" weight="1.12361298256261e-002"/> <Con from="21" weight="2.97459419761007e-002"/> <Con from="22" weight="-5.53537797853025e-003"/> <Con from="23" weight="1.69342274662722e-003"/> <Con from="24" weight="-4.12942638872375e-002"/> <Con from="25" weight="4.26283268015104e-002"/> <Con from="26" weight="-1.96698210414429e-002"/> <Con from="27" weight="4.78788656438192e-002"/> <Con from="28" weight="-2.20563057521348e-002"/> </Neuron> </NeuralLayer> <NeuralLayer 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from="29" weight="8.60369778873912e-002"/> <Con from="30" weight="5.03908218784034e-002"/> <Con from="31" weight="-4.34207848853313e-002"/> <Con from="32" weight="-2.33406447396697e-002"/> <Con from="33" weight="-8.00713190148670e-002"/> <Con from="34" weight="1.16361247539426e-002"/> <Con from="35" weight="1.19626243480077e-001"/> <Con from="36" weight="9.28103357887274e-002"/> <Con from="37" weight="-1.03126905581192e-002"/> <Con from="38" weight="-1.22659260657490e-001"/> <Con from="39" weight="-1.59744614491933e-002"/> <Con from="40" weight="-7.62795316782720e-002"/> <Con from="41" weight="-1.17361203089466e-001"/> <Con from="42" weight="-2.59136005924520e-001"/> <Con from="43" weight="1.60943873586595e-001"/> <Con from="44" weight="1.17096470360249e-001"/> </Neuron> </NeuralLayer> <NeuralOutputs numberOfOutputs="2"> <NeuralOutput outputNeuron="45"> <DerivedField optype="categorical"> <NormDiscrete field="Потребность РП новорожденного" value="ИТ без РП"/> </DerivedField> </NeuralOutput> <NeuralOutput outputNeuron="46"> <DerivedField optype="categorical"> <NormDiscrete field="Потребность РП новорожденного" value="Не требует ИТ"/> </DerivedField> </NeuralOutput> </NeuralOutputs> </NeuralNetwork> </PMML>>"""Сохраняем временно
with open("model.pmml", "w", encoding="utf-8") as f: f.write(pmml_content)
model = Model.fromFile("model.pmml")
def predict( КТГ_STV, АД_сист, АД_диаст, Глюкоза, Hb, Лейкоциты, Тромбоциты, Креатинин, АЛТ, АСТ, Группа, Причина_НРП, Маточные_артерии, Артерии_пуповины, Венозный_проток, ЦПИ, Маловодие, ДИОВ ): data = { "КТГ исходное (STV)": КТГ_STV, "АД сист. при поступлении, мм.рт.ст.": АД_сист, "АД диаст. при поступлении, мм.рт.ст.": АД_диаст, "Глюкоза крови (вен.), ммоль/л": Глюкоза, "Hb исх., г/л": Hb, "Лейкоциты крови исх., 10?/л": Лейкоциты, "Тромбоциты исх., 10?/л": Тромбоциты, "Креатинин крови исх., мкмоль/л": Креатинин, "АЛТ исх., ЕД/л": АЛТ, "АСТ исх., ЕД/л": АСТ, "Группа": Группа, "Причина НРП": Причина_НРП, "Маточные артерии": Маточные_артерии, "Артерии пуповины, ПИ": Артерии_пуповины, "! Венозный проток, а-волна": Венозный_проток, "ЦПИ церебро-плацентарный индекс": ЦПИ, "Маловодие": Маловодие, "ДИОВ": ДИОВ } try: result = model.predict(data) prob_it = result.get("ИТ без РП", 0.0) prob_no = result.get("Не требует ИТ", 0.0) main = "ИТ без РП" if prob_it > prob_no else "Не требует ИТ" conf = max(prob_it, prob_no) * 100 color = "red" if "ИТ" in main else "green" return f"<h2 style='color:{color}'>{main}</h2><p>Вероятность: {conf:.1f}%</p>" except Exception as e: return f"Ошибка: {str(e)}"
demo = gr.Interface( fn=predict, inputs=[ gr.Number(label="КТГ исходное (STV)", minimum=5.7, maximum=15.3), gr.Number(label="АД сист. (мм рт.ст.)", minimum=120, maximum=140), gr.Number(label="АД диаст. (мм рт.ст.)", minimum=70, maximum=90), gr.Number(label="Глюкоза (ммоль/л)", minimum=4.0, maximum=7.4), gr.Number(label="Hb (г/л)", minimum=104, maximum=138), gr.Number(label="Лейкоциты (10⁹/л)", minimum=5.1, maximum=16.5), gr.Number(label="Тромбоциты (10⁹/л)", minimum=115, maximum=418), gr.Number(label="Креатинин (мкмоль/л)", minimum=56.3, maximum=73.4), gr.Number(label="АЛТ (ЕД/л)", minimum=8, maximum=36), gr.Number(label="АСТ (ЕД/л)", minimum=11.4, maximum=34), gr.Dropdown(["ЗРП", "МГВ"], label="Группа"), gr.Dropdown(["ГАГ", "Неизвестно", "Тяжелая ПЭ", "ХАГ"], label="Причина НРП"), gr.Dropdown(["средний ПИ<=95 процентиля", "средний ПИ>95 процентиля"], label="Маточные артерии"), gr.Dropdown(["ПИ<=95 процентиля", "ПИ>95 процентиля"], label="Артерии пуповины"), gr.Dropdown(["отрицательная", "положительная"], label="Венозный проток а-волна"), gr.Dropdown(["ПИ >=5 процентиля", "ПИ<5 процентиля"], label="ЦПИ"), gr.Dropdown(["Есть", "Нет"], label="Маловодие"), gr.Dropdown(["Амниотомия", "Да", "Нет"], label="ДИОВ"), ], outputs=gr.HTML(label="Результат"), title="Калькулятор ИТ новорождённого (MLP 29-16-2)", description="Заполните поля и нажмите Submit" )
demo.launch()
- Created
- Jan 21, 2026
- Updated
- Jan 21, 2026