Update app.py

app.py

@@ -75,21 +75,10 @@ class DataList:
         return df
 
     @staticmethod
-    def filter_table3(df: pd.DataFrame, filter_names3: list[str]) -> pd.DataFrame:
-    # Ensure 'Hashtags' are clean and without extra spaces
-        df.loc[:, 'Hashtags'] = df['Hashtags'].fillna("").astype(str)
-        df.loc[:, 'Hashtags'] = df['Hashtags'].apply(lambda x: ' '.join(x.split()))  # Remove extra spaces
-    
-    # Clean the filter names to ensure no extra spaces
-        filter_names3 = [hashtag.strip() for hashtag in filter_names3]
-    
-    # Create the regex pattern, escaping special characters
-        filter_pattern = '|'.join(map(re.escape, filter_names3))
-    
-    # Apply the filter using str.contains
-        df_filtered = df[df['Hashtags'].str.contains(filter_pattern, case=False, regex=True)]
-    
-        return df_filtered
+    def filter_table3(df: pd.DataFrame,filter_names3: list[str]) -> pd.DataFrame:
+        df.loc[:,'HashF'] = df['HashF'].fillna("").astype(str);
+        df= df[df.HashF.str.contains('|'.join(filter_names3),case=False, regex=True)]
+        return df
 
     @staticmethod
     def to_html(df: pd.DataFrame, table_header: str) -> str:
@@ -128,114 +117,115 @@ with gr.Blocks(css=css) as demo:
     filter_names = gr.CheckboxGroup(choices=["Responsible AI 101", "Responsible AI Governance", "AI System Risk and Assurance", "Generative and Agentic AI", "AI Regulation and Compliance", "AI Procurement"], value=["Responsible AI 101", "Responsible AI Governance", "AI System Risk and Assurance", "Generative and Agentic AI", "AI Regulation and Compliance", "AI Procurement"], label='Type')
     filter_names2 = gr.CheckboxGroup(choices=['Deck','Document/Report','Infogrphic','Video/Audio','Repository/Directory',], value=['Deck','Document/Report','Infogrphic','Video/Audio','Repository/Directory',], label='Type (Format)')
     filter_names3 = gr.CheckboxGroup(choices=[
-  "#AIImpacts",
-  "#AIAssessment&Audit",
-  "#AIDesign",
-  "#AIDevelopment",
-  "#AIDeployment",
-  "#AIMonitoring",
-  "#AIOperating&Maintenance",
-  "#AIDecommissioning",
-  "#AITesting&Evaluation",
-  "#AITraining",
-  "#AIStandards",
-  "#AIUseCase",
-  "#Accountability&Transparency",
-  "#CheatSheet",
-  "#Checklist",
-  "#CaseStudy",
-  "#Cybersecurity",
-  "#Data&AI",
-  "#EUAIAct",
-  "#EUGDPR",
-  "#EmergingTopic",
-  "#Explainability&Interpretability",
-  "#FactSheet",
-  "#Fairness&Bias",
-  "#FederalRegulations",
-  "#Frameworks",
-  "#FrontierAI",
-  "#ForAuditors",
-  "#ForDevelopers",
-  "#ForDeployers",
-  "#ForLeadership",
-  "#GlobalStandards",
-  "#Glossary",
-  "#Government&PublicSector",
-  "#Guide",
-  "#Healthcare",
-  "#HR",
-  "#ISO42001",
-  "#Industrial",
-  "#Manufacturing",
-  "#Marketing",
-  "#News&Journalism",
-  "#Privacy",
-  "#Report",
-  "#Retail",
-  "#Safety",
-  "#Security&Resiliency",
-  "#StateRegulations",
-  "#Template",
-  "#Toolkit",
-  "#Training",
-  "#Validity&Reliability",
-  "#WhitePaper"
+  "AIImpacts",
+  "AIAssessment&Audit",
+  "AIDesign",
+  "AIDevelopment",
+  "AIDeployment",
+  "AIMonitoring",
+  "AIOperating&Maintenance",
+  "AIDecommissioning",
+  "AITesting&Evaluation",
+  "AITraining",
+  "AIStandards",
+  "AIUseCase",
+  "Accountability&Transparency",
+  "CheatSheet",
+  "Checklist",
+  "CaseStudy",
+  "Cybersecurity",
+  "Data&AI",
+  "EUAIAct",
+  "EUGDPR",
+  "EmergingTopic",
+  "Explainability&Interpretability",
+  "FactSheet",
+  "Fairness&Bias",
+  "FederalRegulations",
+  "Frameworks",
+  "FrontierAI",
+  "ForAuditors",
+  "ForDevelopers",
+  "ForDeployers",
+  "ForLeadership",
+  "GlobalStandards",
+  "Glossary",
+  "Government&PublicSector",
+  "Guide",
+  "Healthcare",
+  "HR",
+  "ISO42001",
+  "Industrial",
+  "Manufacturing",
+  "Marketing",
+  "News&Journalism",
+  "Privacy",
+  "Report",
+  "Retail",
+  "Safety",
+  "Security&Resiliency",
+  "StateRegulations",
+  "Template",
+  "Toolkit",
+  "Training",
+  "Validity&Reliability",
+  "WhitePaper"
 ]
+  
 , value=[
-  "#AIImpacts",
-  "#AIAssessment&Audit",
-  "#AIDesign",
-  "#AIDevelopment",
-  "#AIDeployment",
-  "#AIMonitoring",
-  "#AIOperating&Maintenance",
-  "#AIDecommissioning",
-  "#AITesting&Evaluation",
-  "#AITraining",
-  "#AIStandards",
-  "#AIUseCase",
-  "#Accountability&Transparency",
-  "#CheatSheet",
-  "#Checklist",
-  "#CaseStudy",
-  "#Cybersecurity",
-  "#Data&AI",
-  "#EUAIAct",
-  "#EUGDPR",
-  "#EmergingTopic",
-  "#Explainability&Interpretability",
-  "#FactSheet",
-  "#Fairness&Bias",
-  "#FederalRegulations",
-  "#Frameworks",
-  "#FrontierAI",
-  "#ForAuditors",
-  "#ForDevelopers",
-  "#ForDeployers",
-  "#ForLeadership",
-  "#GlobalStandards",
-  "#Glossary",
-  "#Government&PublicSector",
-  "#Guide",
-  "#Healthcare",
-  "#HR",
-  "#ISO42001",
-  "#Industrial",
-  "#Manufacturing",
-  "#Marketing",
-  "#News&Journalism",
-  "#Privacy",
-  "#Report",
-  "#Retail",
-  "#Safety",
-  "#Security&Resiliency",
-  "#StateRegulations",
-  "#Template",
-  "#Toolkit",
-  "#Training",
-  "#Validity&Reliability",
-  "#WhitePaper"
+  "AIImpacts",
+  "AIAssessment&Audit",
+  "AIDesign",
+  "AIDevelopment",
+  "AIDeployment",
+  "AIMonitoring",
+  "AIOperating&Maintenance",
+  "AIDecommissioning",
+  "AITesting&Evaluation",
+  "AITraining",
+  "AIStandards",
+  "AIUseCase",
+  "Accountability&Transparency",
+  "CheatSheet",
+  "Checklist",
+  "CaseStudy",
+  "Cybersecurity",
+  "Data&AI",
+  "EUAIAct",
+  "EUGDPR",
+  "EmergingTopic",
+  "Explainability&Interpretability",
+  "FactSheet",
+  "Fairness&Bias",
+  "FederalRegulations",
+  "Frameworks",
+  "FrontierAI",
+  "ForAuditors",
+  "ForDevelopers",
+  "ForDeployers",
+  "ForLeadership",
+  "GlobalStandards",
+  "Glossary",
+  "Government&PublicSector",
+  "Guide",
+  "Healthcare",
+  "HR",
+  "ISO42001",
+  "Industrial",
+  "Manufacturing",
+  "Marketing",
+  "News&Journalism",
+  "Privacy",
+  "Report",
+  "Retail",
+  "Safety",
+  "Security&Resiliency",
+  "StateRegulations",
+  "Template",
+  "Toolkit",
+  "Training",
+  "Validity&Reliability",
+  "WhitePaper"
 ], label='Hashtags')
     search_button = gr.Button('Search', size = 'sm', scale =1)
     table = gr.HTML(show_label=False)