Add application file

main.py

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+from fastapi import FastAPI, HTTPException
+import joblib
+import pandas as pd
+from pydantic import BaseModel
+
+pipeline=joblib.load('model/pipeline.joblib')
+encoder= joblib.load('model/encoder.joblib')
+print(pipeline)
+print(encoder)
+
+
+
+app=FastAPI(
+    title="Seppsis Classification FASTAPI"
+)
+
+
+class SepsisFeatures(BaseModel):
+    PRG: int
+    PL: int
+    PR: int
+    SK: int
+    TS: int
+    M11: float
+    BD2: float
+    Age: int
+    Insurance: int
+    
+    
+
+    
+@app.get('/')
+def home():
+    return { "FASTAPI to classify sepssis" }
+
+@app.get('/info')
+def info():
+    return 'App info page'
+
+
+@app.post('/predict')
+def predict_sepssi(sepsis_features:SepsisFeatures):
+
+    df = pd.DataFrame([sepsis_features.model_dump()])
+    
+    prediction =pipeline.predict(df)
+    
+    ecoded_prediction= encoder.inverse_transform([prediction])[0]
+    
+    pred ={"prediction": ecoded_prediction }
+    return pred
+    

model/encoder.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2bc345aaf664510eb9b1712f068fd88fef085c7d24fbbb6bb07a8af513247291
+size 542

model/pipeline.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e5ee28da33a2fe86c2f697cd009efa9566eeab4ebcce09e9f00c3551f2042973
+size 1267887