hey

app.py

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