Upload app.py

src/app.py

@@ -3,6 +3,7 @@ from pydantic import BaseModel
 import pickle
 import pandas as pd
 
+# Instantiate The Fast API instance
 app = FastAPI(
     title="Sepsis Prediction API",
     description="This FastAPI application provides sepsis predictions using a machine learning model.",
@@ -10,7 +11,7 @@ app = FastAPI(
 )
 
 # Load the model and key components
-with open('/model_and_key_components.pkl', 'rb') as file:
+with open('model_and_key_components.pkl', 'rb') as file:
     loaded_components = pickle.load(file)
 
 loaded_model = loaded_components['model']
@@ -70,4 +71,4 @@ async def predict_sepsis(input_data: InputData):
 if __name__ == "__main__":
     import uvicorn
     # Run the FastAPI application on the local host and port 8000
-    uvicorn.run(app, host="127.0.0.1", port=8000)
+    CMD ["uvicorn", "app:app", "--host", "127.0.0.1", "--port", "8000", "--reload"]