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app.py

@@ -19,7 +19,7 @@ def home():
     """
     return "Welcome to the SuperKart Forecast Predictor Application API!"
 
-# Define an endpoint for single property prediction (POST request)
+# Define an endpoint for single  prediction (POST request)
 @superkart_forecast_predictor_api.post('/v1/superkart')
 def predict_superkart_sales():
     """
@@ -72,7 +72,7 @@ def predict_superkart_sales_batch():
     input_data = pd.read_csv(file)
 
     # Make predictions for all properties in the DataFrame
-    predicted_sales = model.predict(input_data).tolist()
+    predicted_sales = model.predict(input_data.drop('Product_Id',axis=1)).tolist()
 
     # Create a dictionary of predictions with property IDs as keys
     product_Ids = input_data['Product_Id'].tolist()  # Assuming 'id' is the property ID column

superkart_model_prediction_model_v1_0.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:02c6fe118adeefb9fee9dcd9c83683f864668665cb5acc7942161cd2f9f0ae65
-size 210308
+oid sha256:2e1ac0ce8d054fc96039088fff928e2c620e21524fcf51c547b88074ac55210b
+size 928688