Sepsis Prediction Fast API

main.py

@@ -1,5 +1,17 @@
 
-
+# Importations
+    
+from typing import Union
+from fastapi import FastAPI
+import pickle
+from pydantic import BaseModel
+import pandas as pd
+import os
+import uvicorn
+from fastapi import HTTPException, status
+
+from sklearn.preprocessing import StandardScaler
+from sklearn.preprocessing import LabelEncoder
 # Setup Section
   
  # Create FastAPI instance
@@ -63,7 +75,7 @@ def index():
 @app.post("/predict")
 def predict (df:InputData):
 
- 
+  
     # Prepare the feature and structure them like in the notebook
     df = pd.DataFrame([df.dict().values()],columns=df.dict().keys())
 
@@ -87,7 +99,9 @@ def predict (df:InputData):
 
 
 if __name__ == "__main__":
-    uvicorn.run("main:app",reload=True)
+    uvicorn.run("main:app", host="0.0.0.0", port=7860, reload=True)
+
+