Update app.py

app.py

@@ -40,7 +40,8 @@ class DataList:
 
     def render(self, search_query: str,
             filter_names: list[str],
-            filter_names2: list[str]
+            filter_names2: list[str],
+            filter_names3: list[str]
             ) -> tuple[int, str]:
         self.table = pd.read_csv(csv_url)
         self._preprocess_table()
@@ -56,13 +57,14 @@ class DataList:
         df = self.table
         if search_query:
                 df = df[df.name_lowercase.str.contains(search_query.lower())]
-        df = self.filter_table(df, filter_names,filter_names2)
+        df = self.filter_table(df, filter_names,filter_names2,filter_names3)
         result = self.to_html(df, self.table_header)
         return result
 
     @staticmethod
-    def filter_table(df: pd.DataFrame, filter_names: list[str], filter_names2: list[str]) -> pd.DataFrame:
+    def filter_table(df: pd.DataFrame, filter_names: list[str], filter_names2: list[str],filter_name3: list[str]) -> pd.DataFrame:
         df = df.loc[df.Type.isin(set(filter_names))]
+        df = df.loc[df.Type.isin(set(filter_names3))]
         return df
 
     @staticmethod
@@ -100,16 +102,19 @@ span.svelte-s1r2yt{font-weight: bold !important;
 """
 with gr.Blocks(css=css) as demo:
     search_box = gr.Textbox( label='Search Name', placeholder='You can search for titles with regular expressions. e.g. (?<!sur)face',max_lines=1, scale = 5)  
-    filter_names = gr.CheckboxGroup(choices=['Guidebook','Assessment Tool','Training and Education',], value=['Guidebook','Assessment Tool','Training and Education',], label='Type')
-    filter_names2 = gr.CheckboxGroup(choices=['NIST AI RMF MAP','NIST AI RMF GOVERN','ISO 42001 A.8',], value=['NIST AI RMF MAP','NIST AI RMF GOVERN','ISO 42001 A.8',], label='Alignment with Key Guidance')
+    with gr.Column(scale=1):
+            filter_names = gr.CheckboxGroup(choices=['Guidebook','Assessment Tool','Training and Education',], value=['Guidebook','Assessment Tool','Training and Education',], label='Type')
+    with gr.Column(scale=1):
+        filter_names2 = gr.CheckboxGroup(choices=['NIST AI RMF MAP','NIST AI RMF GOVERN','ISO 42001 A.8',], value=['NIST AI RMF MAP','NIST AI RMF GOVERN','ISO 42001 A.8',], label='Alignment with Key Guidance')
+    filter_names3 = gr.CheckboxGroup(choices=['Compliance and Regulatory Guidance', 'Generative AI', 'Suppliers and Procurement', 'Policy and Governance', 'Assessing AI Systems',], value=['Compliance and Regulatory Guidance', 'Generative AI', 'Suppliers and Procurement', 'Policy and Governance', 'Assessing AI Systems',], label='Modules')
     search_button = gr.Button('Search', size = 'sm', scale =1)
 
     with gr.Row():
         table = gr.HTML(show_label=False)
         
-    demo.load(fn=data_list.render, inputs=[search_box, filter_names,filter_names2,],outputs=[table,])
-    search_box.submit(fn=data_list.render, inputs=[search_box, filter_names,filter_names2,], outputs=[table,])
-    search_button.click(fn=data_list.render, inputs=[search_box, filter_names,filter_names2,], outputs=[table,])    
+    demo.load(fn=data_list.render, inputs=[search_box, filter_names,filter_names2,filter_names3,],outputs=[table,])
+    search_box.submit(fn=data_list.render, inputs=[search_box, filter_names,filter_names2,filter_names3,], outputs=[table,])
+    search_button.click(fn=data_list.render, inputs=[search_box, filter_names,filter_names2,filter_names3,], outputs=[table,])    
 
 demo.queue()
 demo.launch(share=False)