--- a
+++ b/scripts/model/inference.py
@@ -0,0 +1,35 @@
+from time import time 
+import warnings
+import joblib
+import sys
+import os
+
+warnings.filterwarnings('ignore')
+
+# Load trained model
+try:
+    model = joblib.load(open(os.path.join(os.path.dirname(__file__), '../../models/gradient_boosting.joblib'), 'rb'))
+except FileNotFoundError as err:
+    print(f'Ann error occoured: {err}')
+
+# Predict new data
+def predict(data):
+    return model.predict([data])[0]
+
+# Get the prediction outcome
+def proba(data):
+    return f'{(model.predict_proba([data])[0][predict(data)] * 100):.0f}%'
+
+# Result
+def main(data):
+    timer = time()
+
+    prediction = predict(data)
+
+    if prediction == 1:
+       return f'Prediction: {proba(data)} - Affected | Prediction speed: {(time() - timer):.3f}'
+    else:
+       return f'Prediction: {proba(data)} - Benign | Prediction speed: {(time() - timer):.3f}'
+
+if __name__ == '__main__':
+   print(main([1,24,1,1,2,1,1,2,1,1,1])) # My health status
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