How to sum data based on a boolean amount?

Question

Created dictionary called items. Combined values for different keys and put into variable food_list.

 items={'Food':['Ice Cream','Salad'],'Computer':['Laptop','Notebook']
 food_list= '|'.join(items['Food'])

 Description             Amount

 Lenovo Laptop           300
 Chicken Salad           40
 Dell Notebook           250
 Chocolate Ice Cream     3

I tried to find a string based on dictionary values. If the string is in the dictionary, then the row in the dataframe contains the string. I take the amount it is associated with and add up the total row amounts that fit the condition.

 total_amount=df.loc[df['Description'].str.contains(food_list,na=False)
      ==df['Amount'].sum()]

I usually run the code and get

 Empty DataFrame
 Columns: [Date, Description, Amount]
 Index: []