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app.py

@@ -6,10 +6,10 @@ import pandas as pd  # For data manipulation
 from flask import Flask, request, jsonify  # For creating the Flask API
 
 # Initialize Flask app with a name
-nozzleselect_api = Flask("ABMs-Nozzle-Selection") #define the name of the app
+nozzleselect_api = Flask("ABMs Nozzle Selection") #define the name of the app
 
 # Load the trained prediction model
-model = joblib.load("nozzle_selection.joblib") #define the location of the serialized model
+model = joblib.load("nozzle_selection_model.joblib") #define the location of the serialized model
 
 # Define a route for the home page
 @nozzleselect_api.get('/')

nozzle_selection_model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c173c7107a24ef434cefd44a4d96abec5b39294f51e236a44c70ce7b5722139
+size 73419