Update main.py

main.py

@@ -38,10 +38,10 @@ async def predict(input: InputFeatures):
          'Blood_Work_Result_4', 'patients_age']]
 
     #creating pipelines
-num_pipeline= Pipeline([('imputer', SimpleImputer()),('scaler', StandardScaler())])
+    num_pipeline= Pipeline([('imputer', SimpleImputer()),('scaler', StandardScaler())])
 
 
-full_pipeline=ColumnTransformer([('num_pipe',num_pipeline,num_attr)])
+    full_pipeline=ColumnTransformer([('num_pipe',num_pipeline,num_attr)])
 
     XGB = Pipeline([
         ("col_trans", full_pipeline),  # You need to define full_pipeline
@@ -55,8 +55,8 @@ full_pipeline=ColumnTransformer([('num_pipe',num_pipeline,num_attr)])
 
     return prediction
 
-# if __name__ == '__main__':
-#     uvicorn.run("Main:app", reload=True)
+if __name__ == '__main__':
+     uvicorn.run("Main:app", reload=True)