fastapi codes added

HerokuDeployment/app.py

@@ -2,10 +2,20 @@ from fastapi import FastAPI
 import uvicorn
 import pickle
 from models import Performance
+from famodel import FAPerformance
+from seamodel import SEAPerformance
+from suamodel import SUAPerformance
 
-app=FastAPI()
+app = FastAPI()
+
+modelaa1 = pickle.load(open("modelaa1.sav", "rb"))
+modelaa2 = pickle.load(open("modelaa2.sav", "rb"))
+modelsea = pickle.load(open("modelsea.sav", "rb"))
+modelsua = pickle.load(open("modelsua.sav", "rb"))
+modelda = pickle.load(open("modelda.sav", "rb"))
+modelfa1 = pickle.load(open("modelfa1.sav", "rb"))
+modelfa2 = pickle.load(open("modelfa2.sav", "rb"))
 
-model=pickle.load(open("selectivemodel.sav", "rb"))
 
 @app.get("/{name}")
 async def hello(name):
@@ -14,8 +24,38 @@ async def hello(name):
 @app.get("/")
 async def greet():
 	return {"Hello World!"}
+
+@app.post("/aa1predict")
+async def predict(req:Performance):
+	age=req.age
+	mrt=req.mrt
+	pcr=req.pcr
+	oer=req.oer
+	cer=req.cer
+	features=list([age,mrt,pcr,oer,cer])
+	predict=modelaa1.predict([features])
+	if(predict==0):
+		return {"{}".format(predict)}
+	else:
+		return {"{}".format(predict)}
+
+@app.post("/aa2predict")
+async def predict(req:Performance):
+	age=req.age
+	mrt=req.mrt
+	pcr=req.pcr
+	oer=req.oer
+	cer=req.cer
+	features=list([age,mrt,pcr,oer,cer])
+	predict=modelaa2.predict([features])
+	if(predict==0):
+		return {"{}".format(predict)}
+	elif (predict==1):
+		return {"{}".format(predict)}
+	else:
+		return {"{}".format(predict)}
 	
-@app.post("/predict")
+@app.post("/dapredict")
 async def predict(req:Performance):
 	age=req.age
 	mrt=req.mrt
@@ -23,15 +63,75 @@ async def predict(req:Performance):
 	oer=req.oer
 	cer=req.cer
 	features=list([age,mrt,pcr,oer,cer])
-	predict=model.predict([features])
-	if(predict==1):
-		return {"Ans 1 {}".format(predict)}
-	elif (predict==2):
-		return {"Ans 2 {}".format(predict)}
-	elif (predict==3):
-		return {"Ans 3 {}".format(predict)}
+	predict=modelda.predict([features])
+	if(predict==0):
+		return {"{}".format(predict)}
+	else:
+		return {"{}".format(predict)}
+	
+@app.post("/faonepredict")
+async def predict(req:FAPerformance):
+	age=req.age
+	mrt=req.mrt
+	pcr=req.pcr
+	oer=req.oer
+	features=list([age,mrt,pcr,oer])
+	predict=modelfa1.predict([features])
+	if(predict==0):
+		return {"{}".format(predict)}
+	else:
+		return {"{}".format(predict)}
+	
+@app.post("/fatwopredict")
+async def predict(req:FAPerformance):
+	age=req.age
+	mrt=req.mrt
+	pcr=req.pcr
+	oer=req.oer
+	features=list([age,mrt,pcr,oer])
+	predict=modelfa2.predict([features])
+	if(predict==0):
+		return {"{}".format(predict)}
 	else:
-		return {"Ans 4 {}".format(predict)}
+		return {"{}".format(predict)}
 	
+@app.post("/seapredict")
+async def predict(req:SEAPerformance):
+	age=req.age
+	td=req.td
+	pcr=req.pcr
+	oer=req.oer
+	cer=req.cer
+	features=list([age,td,pcr,oer,cer])
+	predict=modelsea.predict([features])
+	if(predict==0):
+		return {"{}".format(predict)}
+	elif (predict==1):
+		return {"{}".format(predict)}
+	elif (predict==2):
+		return {"{}".format(predict)}
+	else:
+		return {"{}".format(predict)}
+    
+@app.post("/suapredict")
+async def predict(req:SUAPerformance):
+	age=req.age
+	mrt=req.mrt
+	pcr=req.pcr
+	oer=req.oer
+	td=req.td
+	features=list([age,mrt,pcr,oer,td])
+	predict=modelsua.predict([features])
+	if(predict==0):
+		return {"{}".format(predict)}
+	elif (predict==1):
+		return {"{}".format(predict)}
+	else:
+		return {"{}".format(predict)}
+
+"""
+
 if __name__=="__main__":
-	uvicorn.run(app, host="127.0.0.1", port=5049)
\ No newline at end of file
+	uvicorn.run(app, host="127.0.0.1", port=5049)
+	
+"""
\ No newline at end of file

HerokuDeployment/famodel.py

+from pydantic import BaseModel
+
+class FAPerformance(BaseModel):
+	age: int
+	mrt: float
+	pcr: float
+	oer: float

HerokuDeployment/seamodel.py

+from pydantic import BaseModel
+
+class SEAPerformance(BaseModel):
+	age: int
+	td: float
+	pcr: float
+	oer: float
+	cer: float

HerokuDeployment/suamodel.py

+from pydantic import BaseModel
+
+class SUAPerformance(BaseModel):
+	age: int
+	mrt: float
+	pcr: float
+	oer: float
+	td: float