Update app.py

app.py

@@ -10,6 +10,10 @@ recipes_json = json.load(f)
 recipes = pd.DataFrame(recipes_json)
 ingredients = pd.DataFrame(recipes_json).explode('ingredients')
 
+# name search
+name_search = st.text_input('Search recipes by name')
+filter_name = recipes['name'].str.contains(name_search)
+
 # ingredient filter
 options = st.multiselect(
     'Select ingredients to filter by:',ingredients['ingredients'].unique())
@@ -22,16 +26,17 @@ filter_type = st.radio(
 )
 if len(options)==0:
     filter_1 = [True]*len(ingredients)
-    filtered_names = ingredients.loc[filter_1, 'name'].to_list()
+    filter_ingredient = ingredients.loc[filter_1, 'name'].to_list()
 else:
     if filter_type == 'Recipe contains ANY of the specified ingredients':
         filter_1 = ingredients['ingredients'].isin(options)
-        filtered_names = ingredients.loc[filter_1, 'name'].to_list()
+        filter_ingredient = ingredients.loc[filter_1, 'name'].to_list()
     elif filter_type == 'Recipe contains ALL of the specified ingredients':
         filter_1 = ingredients['ingredients'].isin(options)
         ingredients['has_ingredient'] = 0
         ingredients.loc[filter_1, 'has_ingredient'] = 1
         pivot = ingredients.groupby('name').agg(sum_has_ingredients=('has_ingredient', 'sum')).reset_index()
-        filtered_names = pivot.loc[pivot['sum_has_ingredients']==len(options), 'name'].to_list()
+        filter_ingredient = pivot.loc[pivot['sum_has_ingredients']==len(options), 'name'].to_list()
 
-st.dataframe(recipes[recipes['name'].isin(filtered_names)], hide_index=True)
+filter_all = filter_name & filter_ingredient
+st.dataframe(recipes[recipes['name'].isin(filter_all)], hide_index=True)