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app.py

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+import gradio
+import numpy as np
+import pandas as pd
+import joblib
+import matplotlib.pyplot as plt
+from sklearn.model_selection import train_test_split
+from sklearn.metrics import accuracy_score, f1_score
+from xgboost import XGBClassifier
+
+
+username = "mohansathya"
+repo_name = "heartdisease"
+save_file_name = "xgboost-model.pkl"
+repo_path = username+ '/' + repo_name + '/' + save_file_name
+
+xgb_loaded = joblib.load(repo_path)
+
+
+demo = gr.Interface(
+    predict_death_event,
+    [
+        gr.Slider(40, 100, value=60, label="age", info="Choose between 40 and 100"),
+        gr.Radio(
+            ["No", "Yes"], type = 'index', value='Yes', label="anaemia", info="is anemic"
+        ),
+        gr.Slider(23, 1300, value=588, label="creatinine_phosphokinase", info="Choose between 23 and 1300"),
+        gr.Radio(
+            ["No", "Yes"], type = 'index', value='Yes', label="diabetes", info="is diabetic"
+        ),
+        gr.Slider(14, 70, value=60, label="ejection_fraction", info="Choose between 14 and 70"),
+        gr.Radio(
+            ["No", "Yes"], type = 'index', value='No', label="high_blood_pressure", info="is hypertensive"
+        ),
+        gr.Slider(70000, 450000, value=194000, label="platelets", info="Choose between 70000 and 450000"),
+        gr.Slider(0.5, 2.2, value=194000, label="serum_creatinine", info="Choose between 0.5 and 2.2"),
+        gr.Slider(120, 150, value=142, label="serum_sodium", info="Choose between 120 and 150"),
+        gr.Radio(
+            ["No", "Yes"], type = 'index', value='No', label="Is woman", info="is woman"
+        ),
+        gr.Radio(
+            ["No", "Yes"], type = 'index', value='No', label="Is a smoker?", info="is smoker?"
+        ),
+        gr.Slider(1, 300, value=33, label="follow-up period", info="Choose between 1 and 300 days")
+    ],
+    "text",
+    examples=[
+        [6.00e+01, 'Yes', 5.88e+02, 'Yes', 6.00e+01, 'No',
+       1.94e+05, 1.10e+00, 1.42e+02, 'No', 'No', 3.30e+01],
+        [5.30e+01, 'Yes', 2.70e+02, 'Yes', 3.50e+01, 'No',
+       2.27e+05, 2.15e+00, 1.45e+02, 'Yes', 'No', 1.05e+02]
+    ]
+)
+
+demo.launch(debug = True)

requirements.txt

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+numpy
+pandas
+joblib
+matplotlib
+sklearn
+xgboost
+gradio

xgboost-model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:14c0d2599174830ec5a9052af2a416a00ef52c7e61b44844bf32c833cdb6de7f
+size 189168