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app.py

@@ -6,7 +6,8 @@ from flask import Flask, request, jsonify
 churn_predictor_api = Flask("Customer Churn Predictor")
 
 # Load the trained churn prediction model
-model = joblib.load("/content/drive/MyDrive/Great Learning - U Texas/29 Containerization/churn_prediction_model_v1_0.joblib")
+# Correct the path to load the model from the /app directory in the container
+model = joblib.load("/app/churn_prediction_model_v1_0.joblib")
 
 # Define a route for the home page
 @churn_predictor_api.get('/')
@@ -48,7 +49,8 @@ def predict_churn():
 @churn_predictor_api.post('/v1/customerbatch')
 def predict_churn_batch():
     # Get the uploaded CSV file from the request
-    file = request.files['/content/drive/MyDrive/Great Learning - U Texas/29 Containerization/bank_customer_churn.csv']
+    # Correct the path to read the file directly from the request
+    file = request.files['file']
 
     # Read the file into a DataFrame
     input_data = pd.read_csv(file)