removed code that depends on tabulate

src/app/app.py

@@ -23,7 +23,7 @@ DIRPATH = os.path.dirname(os.path.realpath(__file__))
 # set path for ml files
 ml_contents_path = os.path.join(DIRPATH, '..', 'assets', 'ml_components', 'toolkit_folder')
 
-
+# get contents
 ml_contents = load_file(ml_contents_path)
 
 Encoder = ml_contents["OneHotEncoder"]
@@ -32,6 +32,8 @@ features_ = ml_contents['feature_names']
 
 
 
+# define endpoints
+
 @app.get('/')
 def root():
     return 'Welcome to the Gorecery Sales Forecasting API'
@@ -44,6 +46,7 @@ def check_health():
 async def predict_sales( store_id: int, category_id: int, onpromotion: int,
                   city: str, store_type: int, cluster: int, date_: Annotated[datetime.date, "The date of sales"] = datetime.date.today()):
 
+    # create a dictionary of inputs
     input = {
     'store_id':[store_id], 
     'category_id':[category_id], 
@@ -54,10 +57,12 @@ async def predict_sales( store_id: int, category_id: int, onpromotion: int,
     'date_': [date_]
     }   
 
+    # convert to dataframe and extract datetime features
     input_data = pd.DataFrame(input)
     date_extracts(input_data)
-    print(f'INFO: {input_data.to_markdown()}')
- 
+
+
+    # make prediction
     sales = make_predcition(Encoder, model, input)
     sales_value = float(sales[0])
     return {'sales': sales_value}