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Dockerfile

@@ -1,13 +1,13 @@
 FROM python:3.9-slim
 
 # Set the working directory inside the container
-WORKDIR /app 
+WORKDIR /app
 
 # Copy all files from the current directory to the container's working directory
-COPY . . 
+COPY . .
 
 # Install dependencies from the requirements file without using cache to reduce image size
-RUN pip install --no-cache-dir --upgrade -r requirements.txt 
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
 # Define the command to start the application using Gunicorn with 4 worker processes
 # - `-w 4`: Uses 4 worker processes for handling requests

app.py

@@ -9,7 +9,7 @@ from flask import Flask, request, jsonify  # For creating the Flask API
 superkart_api = Flask("SuperKart Predictor") #Complete the code to define the name of the app
 
 # Load the trained prediction model
-model = joblib.load("superkartapp_v1.0.joblib") #Complete the code to define the location of the serialized model
+model = joblib.load("superkart_app_v1_0.joblib") #Complete the code to define the location of the serialized model
 
 # Define a route for the home page
 @superkart_api.get('/')

superkart_app_v1_0.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99c6dae724f98612d7c44debb93ec0d93e023f7f8c86fec4cad6c1232a662517
+size 1042112