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Dockerfile

@@ -4,7 +4,7 @@ FROM python:3.9-slim
 WORKDIR /app
 
 # Copy all files from the current directory to the container's working directory
-COPY /content/drive/MyDrive/Colab Notebooks/Module 7 - Model Deployment/Project/rf/backend_files/* . 
+COPY /content/drive/MyDrive/Models/SuperKart/rf/backend_files/* . 
 
 # Install dependencies from the requirements file without using cache to reduce image size
 RUN pip install --no-cache-dir --upgrade -r requirements.txt

app.py

@@ -3,7 +3,7 @@
 rf_superkart_prediction_api = Flask("SuperKart Sales Prediction with Random Forest")
 
 # Load the trained machine learning model
-rf_model = joblib.load("/content/drive/MyDrive/Colab Notebooks/Module 7 - Model Deployment/Projectrf/backend_files/superkart_sales_prediction_model_v1_0.joblib")
+rf_model = joblib.load("/content/drive/MyDrive/Models/SuperKart/rf/backend_files/superkart_sales_prediction_model_v1_0.joblib")
 
 # Define a route for the home page (GET request)
 @rf_superkart_prediction_api.get('/')