Upload 4 files

app.py

@@ -13,7 +13,8 @@ from eda import (average_sales_by_region, average_sales_and_profit_over_time,
 
 from prediction import make_prediction
 
-import transformers
+# In your model training script and your Streamlit app script (app.py)
+from transformers import UnitPriceTransformer, KMeansAndLabelTransformer, DynamicOneHotEncoder
 
 # Load the dataset for EDA
 @st.cache_data

prediction.py

@@ -1,6 +1,7 @@
 import pickle
 import pandas as pd
-import transformers
+# In your model training script and your Streamlit app script (app.py)
+from transformers import UnitPriceTransformer, KMeansAndLabelTransformer, DynamicOneHotEncoder
 
 # Load the pipeline and model
 # Load the pipeline object from the file