Add application file

app/main.py

@@ -6,7 +6,7 @@ import numpy as np
 app = FastAPI()
 
 # Load model at startup
-with open("app/model.pkl", "rb") as f:
+with open("model.pkl", "rb") as f:
     model = pickle.load(f)
 
 # Input schema

app/model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:45b08c2fb38af8d0d1a364923427ba12b8751ff44039eea2b4068dcf7f7579b0
+oid sha256:a222468966875fe9f70f1ba95de4bae33f6958c6ff4845f22402eb7b307a0669
 size 953

app/train.py

@@ -17,5 +17,5 @@ model = LogisticRegression(max_iter=200)
 model.fit(X_train, y_train)
 
 # Save model
-with open("app/model.pkl", "wb") as f:
+with open("model.pkl", "wb") as f:
     pickle.dump(model, f)