Update app/main.py

app/main.py

@@ -14,6 +14,7 @@ dataset=None
 trained_model=None
 encoder=None
 transform=None
+step=0
 
 class Item(BaseModel):
     Torque:float=Field(gt=0,default=24.25)
@@ -31,13 +32,15 @@ def home():
 
 @app.post("/upload/")
 def upload_csv(file:UploadFile=File(...)):
+    step=1
     dataset=pd.read_csv(file.file)
     file.file.close()
     return {"filename": file.filename}
 
 @app.post("/train/")
 def training():
-    if dataset is not None:
+    if step>0:
+        step=2
         results=train(dataset)
         trained_model=results["model"]
         encoder=results["encoder"]
@@ -49,11 +52,9 @@ def training():
 
 @app.post("/predict/")
 def prediction(item:Item):
-    cwd=os.getcwd()
-    path=os.path.join(cwd,"app","model.pkl")
-    if os.path.exists(path):
+    if step>1:
         arr=[[item.Torque,item.Hydraulic_Pressure,item.Cutting,item.Coolant_Pressure,item.Spindle_Speed,item.Coolant_Temperature]]
-        results=predict(arr)
+        results=predict(trained_model,encoder,transform,arr)
         return results
     else:
         return {"message":"First Train Model"}