Spaces:
Sleeping
Sleeping
donadelicc
commited on
Commit
•
e417837
1
Parent(s):
a945609
hey
Browse files
app.py
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import pickle
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import pandas as pd
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import math
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import gradio as gr
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from sklearn.ensemble import RandomForestRegressor
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import pandas as pd
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#C:\Users\prebe\OneDrive\Projects\Doc_Summarizer\web\Gradio Apps\hospitalStay\model\hospitalStay.pkl
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with open('model/hospitalStay.pkl', 'rb') as f:
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model = pickle.load(f)
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default_values = {
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'rcount': 0.0,
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'gender': 0.0,
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'dialysisrenalendstage': False,
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'asthma': False,
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'irondef': False,
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'pneum': False,
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'substancedependence': False,
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'psychologicaldisordermajor': False,
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'depress': False,
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'psychother': False,
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'fibrosisandother': False,
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'malnutrition': False,
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'hemo': 0.0,
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'hematocrit': 11.9,
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'neutrophils': 9.4,
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'sodium': 135.885126,
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'glucose': 23.765383,
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'bloodureanitro': 12.0,
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'creatinine': 0.268453,
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'bmi': 29.798116,
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'pulse': 74.0,
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'respiration': 6.5,
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'secondarydiagnosisnonicd9': 1.0,
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'facid': 4.0
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}
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def predict_length_of_stay(rcount, gender, asthma, hematocrit, bmi):
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# Konverterer input verdier fra Gradio input
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if rcount < 0 or rcount > 5:
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return "Ugylding verdig for Antall innleggelser. Bruk et tall mellom 0 og 5"
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gender = 1.0 if gender == "Male" else 0.0
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input_values = default_values.copy()
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input_values.update({
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'rcount': rcount,
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'gender': gender,
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'asthma': asthma,
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'hematocrit': hematocrit,
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'bmi': bmi
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})
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df = pd.DataFrame([input_values])
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prediction = model.predict(df)
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rounded_prediction = math.ceil(prediction[0])
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return rounded_prediction
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iface = gr.Interface(
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fn=predict_length_of_stay,
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title="Beregn lengden på et sykehusopphold til en pasient.",
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description="Modellen tar inn 25 variabler for å predikere lengden på sykehusoppholdet, men jeg har begreset denne demoen til å bare inneholde 5 input verdier.",
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inputs=[
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gr.components.Number(label="Antall innleggelser de siste 180 dager", default=0.0),
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gr.components.Dropdown(choices=["Male", "Female"], label="Gender", default="Male"),
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gr.components.Checkbox(label="Asthma", default=False),
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gr.components.Number(label="Hematocrit", default=11.9),
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gr.components.Number(label="BMI", default=29.798116),
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],
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allow_flagging="never",
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outputs=gr.components.Textbox(label="Predicted Length of Stay (days)")
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)
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iface.launch()
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