refactor code and initial UI

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+import yaml
+from compliance_analysis import run_compliance_analysis_on_project
+
+def process_files(files):
+    results = []
+    for file in files:
+        with open(file.name, 'r') as f:
+            content = f.read()
+        project_cc_yaml = yaml.safe_load(content)
+        msg = run_compliance_analysis_on_project(project_cc_yaml)
+        results.append(msg)            
+            
+    return results
+
+# Gradio interface
+with gr.Blocks() as demo:
+    file_input = gr.File(label="Upload Files", file_count="multiple")
+    output = gr.Textbox(label="Output", lines=10)
+    
+    submit_button = gr.Button("Process Files")
+    submit_button.click(process_files, inputs=file_input, outputs=output)
+
+demo.launch()

compliance_analysis.py

@@ -1,7 +1,5 @@
-import os
-import sys
 import yaml
-from enum import Enum
+from utils import set_type, set_operator_role_and_location, set_eu_market_status, check_within_scope
 
 # Create some variables we will use throughout our analysis
 
@@ -27,310 +25,164 @@ project_variables = {
     }
 }
 
-#Define a function that creates a list of all the files in a provided folder. We will use this list for different things.
-def create_list_of_files(folder_path):
-    for root, dirs, files in os.walk(folder_path):
-        for filename in files:
-            found_files.append(os.path.join(root, filename))
-
-#Define a function that checks for a Project CC. Without this, there simply cannot be an analysis.
-def check_for_project_cc(folder_path):
-    found_files = []
-
-    # Walk through the directory
-    for root, dirs, files in os.walk(folder_path):
-        for filename in files:
-            if filename.lower() == 'project_cc.yaml':
-                found_files.append(os.path.join(root, filename))
-
-    # Check the results
-    if len(found_files) == 0:
-        print(f"We did not find a Project CC in your folder. We cannot run a compliance analysis without a Project CC.")
-        sys.exit()
-    elif len(found_files) == 1:
-        print(f"We found exactly one Project CC in your folder. Great job!:")
-        print(f"  - {found_files[0]}")
-        run_compliance_analysis(folder_path)
-    else:
-        print(f"Multiple Project CCs found:")
-        for file_path in found_files:
-            print(f"  - {file_path}")
-        print("We found multiple Project CCs in your folder. There should only be one Project CC per project.")
-
-def run_compliance_analysis(folder_path):
-
-    # Load the Project CC YAML file from the supplied folder. This will be our starting point. 
-    with open(folder_path + 'project_cc.yaml', 'r') as file:
-        project_cc_yaml = yaml.safe_load(file)
+def run_compliance_analysis_on_project(project_cc_yaml):
 
     # Determine project type (AI system vs. GPAI model) as well as operator type. We will use these for different things.
-    set_type(project_variables, project_cc_yaml)
+    project_type = set_type(project_variables, project_cc_yaml)
     set_operator_role_and_location(project_variables, project_cc_yaml)
     set_eu_market_status(project_variables, project_cc_yaml)
 
     # Check if the project is within scope of the Act. If it's not, the analysis is over.
     if check_within_scope(project_cc_yaml):
-        print("Project is within the scope of Act. Let's continue...") 
+        msg = ("Project is within the scope of Act. Let's continue...") 
     else: 
-        sys.exit("Project is not within the scope of what is regulated by the Act.")
+        msg = ("Project is not within the scope of what is regulated by the Act.")
 
-    # Check for prohibited practices. If any exist, the analysis is over.
-    if check_prohibited(project_cc_yaml) == True: 
-        print("Project contains prohibited practices and is therefore non-compliant.")
-        sys.exit("Project is non-compliant due to a prohibited practice.")
-    else: 
-        print("Project does not contain prohibited practies. Let's continue...")
+    # # Check for prohibited practices. If any exist, the analysis is over.
+    # if check_prohibited(project_cc_yaml) == True: 
+    #     print("Project contains prohibited practices and is therefore non-compliant.")
+    #     msg = ("Project is non-compliant due to a prohibited practice.")
+    # else: 
+    #     print("Project does not contain prohibited practies. Let's continue...")
 
     # If project is high-risk AI system, check that is has met all the requirements for such systems: 
 
-    if high_risk_ai_system:
+    if project_type == "high_risk_ai_system":
 
     # Do this by examining the Project CC
 
         for key, value in project_cc_yaml['risk_management_system']:
             if not value:
-                sys.exit("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 9.")
+                msg = ("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 9.")
         for key, value in project_cc_yaml['technical_documentation']:
             if not value:
-                sys.exit("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 11.")            
+                msg = ("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 11.")            
         for key, value in project_cc_yaml['record_keeping']:
             if not value:
-                sys.exit("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 12.")     
+                msg = ("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 12.")     
         for key, value in project_cc_yaml['transparency_and_provision_of_information_to_deployers']:
             if not value:
-                sys.exit("Because of project-level characteristics, this high-risk AI system fails the transparency requirements under Article 13.")  
+                msg = ("Because of project-level characteristics, this high-risk AI system fails the transparency requirements under Article 13.")  
         for key, value in project_cc_yaml['human_oversight']:
             if not value:
-                sys.exit("Because of project-level characteristics, this high-risk AI system fails the human oversight requirements under Article 14.")  
+                msg = ("Because of project-level characteristics, this high-risk AI system fails the human oversight requirements under Article 14.")  
         for key, value in project_cc_yaml['accuracy_robustness_cybersecurity']:
             if not value:
-                sys.exit("Because of project-level characteristics, this high-risk AI system fails the accuracy, robustness, and cybersecurity requirements under Article 15.")  
+                msg = ("Because of project-level characteristics, this high-risk AI system fails the accuracy, robustness, and cybersecurity requirements under Article 15.")  
         for key, value in project_cc_yaml['quality_management_system']:
             if not value:
-                sys.exit("Because of project-level characteristics, this high-risk AI system fails the accuracy, robustness, and cybersecurity requirements under Article 17.") 
+                msg = ("Because of project-level characteristics, this high-risk AI system fails the accuracy, robustness, and cybersecurity requirements under Article 17.") 
+
+    return msg
 
+def run_compliance_analysis_on_data(data_cc_yaml):
     # Do this by examining any and all Data CCs too
+    data_cc_yaml = yaml.safe_load(data_cc_yaml)
+    filename = data_cc_yaml
+    
+    for key, value in data_cc_yaml['data_and_data_governance']:
+        if not value:
+            msg = (f"Because of the dataset represented by {filename}, this high-risk AI system fails the data and data governance requirements under Article 10.")
+    for key, value in data_cc_yaml['technical_documentation']:
+        if not value:
+            msg = (f"Because of the dataset represented by {filename}, this high-risk AI system fails the technical documentation requirements under Article 11.")
+    for key, value in data_cc_yaml['transparency_and_provision_of_information_to_deployers']:
+        if not value:
+            msg = (f"Because of the dataset represented by {filename}, this high-risk  AI system fails the transparency requirements under Article 13.")
+    for key, value in data_cc_yaml['quality_management_system']:
+        if not value:
+            msg = (f"Because of the dataset represented by {filename}, this high-risk  AI system fails the quality management requirements under Article 17.")
+
+    return msg
+    
+def run_compliance_analysis_on_data(model_cc_yaml):
+    
+    model_cc_yaml = yaml.safe_load(model_cc_yaml)
+    filename - model_cc_yaml
+    
+    for key, value in model_cc_yaml['risk_management_system']:
+        if not value:
+            msg = (f"Because of the model represented by {filename}, this high-risk AI system fails the risk management requirements under Article 9.")
+    for key, value in data_cc_yaml['technical_documentation']:
+        if not value:
+            msg = (f"Because of the model represented by {filename}, this high-risk AI system fails the technical documentation requirements under Article 11.")
+    for key, value in data_cc_yaml['transparency_and_provision_of_information_to_deployers']:
+        if not value:
+            msg = (f"Because of the model represented by {filename}, this high-risk  AI system fails the transparency requirements under Article 13.")
+    for key, value in data_cc_yaml['accuracy_robustness_cybersecurity']:
+        if not value:
+            msg = (f"Because of the model represented by {filename}, this high-risk  AI system fails the quality management requirements under Article 15.")
+    for key, value in data_cc_yaml['quality_management_system']:
+        if not value:
+            msg = (f"Because of the model represented by {filename}, this high-risk  AI system fails the quality management requirements under Article 17.")
+   
+    return msg
 
-        for filename in os.listdir(folder_path):
-            # Check if the search word is in the filename
-            if "data_cc.md" in filename.lower():
-
-                # If it is, load the yaml
-
-                with open(folder_path + filename, 'r') as file:
-                    data_cc_yaml = yaml.safe_load(file)
-
-                for key, value in data_cc_yaml['data_and_data_governance']:
-                    if not value:
-                        sys.exit(f"Because of the dataset represented by {filename}, this high-risk AI system fails the data and data governance requirements under Article 10.")
-                for key, value in data_cc_yaml['technical_documentation']:
-                    if not value:
-                        sys.exit(f"Because of the dataset represented by {filename}, this high-risk AI system fails the technical documentation requirements under Article 11.")
-                for key, value in data_cc_yaml['transparency_and_provision_of_information_to_deployers']:
-                    if not value:
-                        sys.exit(f"Because of the dataset represented by {filename}, this high-risk  AI system fails the transparency requirements under Article 13.")
-                for key, value in data_cc_yaml['quality_management_system']:
-                    if not value:
-                        sys.exit(f"Because of the dataset represented by {filename}, this high-risk  AI system fails the quality management requirements under Article 17.")
-
-    # Do this by examining any and all Model CCs too
-
-        for filename in os.listdir(folder_path):
-            # Check if the search word is in the filename
-            if "model_cc.md" in filename.lower():
-
-                # If it is, load the yaml
-
-                with open(folder_path + filename, 'r') as file:
-                    model_cc_yaml = yaml.safe_load(file)
-
-                for key, value in model_cc_yaml['risk_management_system']:
-                    if not value:
-                        sys.exit(f"Because of the model represented by {filename}, this high-risk AI system fails the risk management requirements under Article 9.")
-                for key, value in data_cc_yaml['technical_documentation']:
-                    if not value:
-                        sys.exit(f"Because of the model represented by {filename}, this high-risk AI system fails the technical documentation requirements under Article 11.")
-                for key, value in data_cc_yaml['transparency_and_provision_of_information_to_deployers']:
-                    if not value:
-                        sys.exit(f"Because of the model represented by {filename}, this high-risk  AI system fails the transparency requirements under Article 13.")
-                for key, value in data_cc_yaml['accuracy_robustness_cybersecurity']:
-                    if not value:
-                        sys.exit(f"Because of the model represented by {filename}, this high-risk  AI system fails the quality management requirements under Article 15.")
-                for key, value in data_cc_yaml['quality_management_system']:
-                    if not value:
-                        sys.exit(f"Because of the model represented by {filename}, this high-risk  AI system fails the quality management requirements under Article 17.")
-
-    # If the project is a GPAI model, check that is has met all the requirements for such systems: 
-
-    if gpai_model:
 
-    # Do this by examining the Project CC
+    # # If the project is a GPAI model, check that is has met all the requirements for such systems: 
 
-        for key, value in project_cc_yaml['gpai_model_provider_obligations']:
-            if not value:
-                sys.exit("GPAI model fails the transparency requirements under Article 53.")
+    # if gpai_model:
 
-    # Do this by examining any and all Data CCs too
+    # # Do this by examining the Project CC
+
+    #     for key, value in project_cc_yaml['gpai_model_provider_obligations']:
+    #         if not value:
+    #             msg = ("GPAI model fails the transparency requirements under Article 53.")
 
-        for filename in os.listdir(folder_path):
-            # Check if the search word is in the filename
-            if "data_cc.md" in filename.lower():
+    # # Do this by examining any and all Data CCs too
 
-                # If it is, load the yaml
+    #     for filename in os.listdir(folder_path):
+    #         # Check if the search word is in the filename
+    #         if "data_cc.md" in filename.lower():
 
-                with open(folder_path + filename, 'r') as file:
-                    data_cc_yaml = yaml.safe_load(file)
+    #             # If it is, load the yaml
 
-                for key, value in data_cc_yaml['gpai_requirements']['gpai_requirements']:
-                    if not value:
-                        sys.exit(f"Because of the dataset represented by {filename}, this GPAI fails the transparency requirements under Article 53.")
+    #             with open(folder_path + filename, 'r') as file:
+    #                 data_cc_yaml = yaml.safe_load(file)
 
-    # Do this by examining any and all Model CCs too
+    #             for key, value in data_cc_yaml['gpai_requirements']['gpai_requirements']:
+    #                 if not value:
+    #                     msg = (f"Because of the dataset represented by {filename}, this GPAI fails the transparency requirements under Article 53.")
+
+    # # Do this by examining any and all Model CCs too
     
-        for filename in os.listdir(folder_path):
-            # Check if the search word is in the filename
-            if "model_cc.md" in filename.lower():
+    #     for filename in os.listdir(folder_path):
+    #         # Check if the search word is in the filename
+    #         if "model_cc.md" in filename.lower():
 
-                # If it is, load the yaml
+    #             # If it is, load the yaml
 
-                with open(folder_path + filename, 'r') as file:
-                    model_cc_yaml = yaml.safe_load(file)
+    #             with open(folder_path + filename, 'r') as file:
+    #                 model_cc_yaml = yaml.safe_load(file)
 
-                for key, value in model_cc_yaml['obligations_for_providers_of_gpai_models']:
-                    if not value:
-                        sys.exit(f"Because of the model represented by {filename}, this GPAI fails the transparency requirements under Article 53.")
+    #             for key, value in model_cc_yaml['obligations_for_providers_of_gpai_models']:
+    #                 if not value:
+    #                     msg = (f"Because of the model represented by {filename}, this GPAI fails the transparency requirements under Article 53.")
 
-    # If the project is a GPAI model with systematic risk, check that is has additionally met all the requirements for such systems: 
+    # # If the project is a GPAI model with systematic risk, check that is has additionally met all the requirements for such systems: 
 
-    if gpai_model_systematic_risk:
+    # if gpai_model_systematic_risk:
+
+    # # Do this by examining the Project CC
+
+    #     for key, value in project_cc_yaml['gpai_obligations_for_systemic_risk_models']:
+    #         if not value:
+    #             msg = ("GPAI model with systematic risk fails the transparency requirements under Article 55.")
+
+    # # Do this by examining any and all Model CCs too
+
+    #     for filename in os.listdir(folder_path):
+    #         # Check if the search word is in the filename
+    #         if "model_cc.md" in filename.lower():
+
+    #             # If it is, load the yaml
+
+    #             with open(folder_path + filename, 'r') as file:
+    #                 model_cc_yaml = yaml.safe_load(file)
+
+    #             for key, value in model_cc_yaml['obligations_for_providers_of_gpai_models_with_systemic_risk']:
+    #                 if not value:
+    #                     msg = (f"Because of the model represented by {filename}, this GPAI model with systematic risk fails the transparency requirements under Article 55.")
 
-    # Do this by examining the Project CC
 
-        for key, value in project_cc_yaml['gpai_obligations_for_systemic_risk_models']:
-            if not value:
-                sys.exit("GPAI model with systematic risk fails the transparency requirements under Article 55.")
-
-    # Do this by examining any and all Model CCs too
-
-        for filename in os.listdir(folder_path):
-            # Check if the search word is in the filename
-            if "model_cc.md" in filename.lower():
-
-                # If it is, load the yaml
-
-                with open(folder_path + filename, 'r') as file:
-                    model_cc_yaml = yaml.safe_load(file)
-
-                for key, value in model_cc_yaml['obligations_for_providers_of_gpai_models_with_systemic_risk']:
-                    if not value:
-                        sys.exit(f"Because of the model represented by {filename}, this GPAI model with systematic risk fails the transparency requirements under Article 55.")
-
-def set_type(project_variables, project_cc_yaml):
-    ai_system = project_variables['ai_project_type']['ai_system']
-    gpai_model = project_variables['ai_project_type']['gpai_model']
-    if project_cc_yaml['ai_system']['ai_system']['value']:
-        ai_system = True
-    if project_cc_yaml['gpai_model']['gpai_model']['value']:
-        gpai_model = True
-    if ai_system and gpai_model:
-        sys.exit("Your project cannot be both an AI system and a GPAI model. Please revise your Project CC accordingly.")
-    if ai_system == True:
-        for key, value in project_cc_yaml['high_risk_ai_system']:
-            if value and sum(map(bool, [project_cc_yaml['high_risk_ai_system']['filter_exception_rights'],project_cc_yaml['high_risk_ai_system']['filter_exception_narrow'],project_cc_yaml['high_risk_ai_system']['filter_exception_human'],project_cc_yaml['high_risk_ai_system']['filter_exception_deviation'], project_cc_yaml['high_risk_ai_system']['filter_exception_prep']])) < 1:
-                high_risk_ai_system == True
-    if gpai_model == True:
-        if project_cc_yaml['gpai_model_systematic_risk']['evaluation'] or project_cc_yaml['gpai_model_systematic_risk']['flops']:
-            gpai_model_systematic_risk == True
-
-def set_operator_role_and_location(project_variables, project_cc_yaml):
-    operators = 0
-    
-    ai_system = project_variables['ai_project_type']['ai_system']
-    gpai_model = project_variables['ai_project_type']['gpai_model']
-    
-    for var in project_variables['operator_role']:
-        if project_cc_yaml['operator_role'][f'{var}']['value']:
-            project_variables['operator_role'][f'{var}'] = True
-            operators += 1 
-        
-    if ai_system and gpai_model:
-        sys.exit("Your project cannot be both an AI system and a GPAI model. Please revise your Project CC accordingly.")
-    if operators != 1:
-        sys.exit("Please specify exactly one operator role.")
-    
-    return project_variables
 
-def set_eu_market_status(project_variables, project_cc_yaml):
-    
-    if project_cc_yaml['eu_market_status']['placed_on_market']['value']:
-        project_variables['eu_market_status']["placed_on_market"] = True
-    if project_cc_yaml['eu_market_status']['put_into_service']['value']:
-        project_variables['eu_market_status']["put_into_service"] = True
-        
-    if project_cc_yaml['operator_role']['output_used']['value']:
-        project_variables['operator_role']["output_used"] = True
-        
-    return project_variables
-
-def check_within_scope(project_cc):
-    if not check_excepted(project_cc):
-        if provider and ((ai_system and (placed_on_market or put_into_service)) or (gpai_model and placed_on_market)):   # Article 2.1(a)
-            return True
-        if deployer and eu_located: # Article 2.1(b)
-            return True
-        if (provider or deployer) and (ai_system and eu_located and output_used): # Article 2.1(c)
-            return True
-        if (importer or distributor) and ai_system: # Article 2.1(d)
-            return True
-        if product_manufacturer and ai_system and (placed_on_market or put_into_service): # Article 2.1(e)
-            return True
-    else:
-        return False
-
-def check_excepted(project_cc_yaml):
-    if project_cc_yaml['excepted']['scientific'] or project_cc_yaml['excepted']['pre_market'] or (ai_system and project_cc_yaml['excepted']['open_source_ai_system']) or (gpai_model and project_cc_yaml['excepted']['open_source_gpai_system']):
-        return True
-    else:
-        return False 
-
-def check_prohibited (project_cc_yaml):
-    if ai_system:
-        for key in project_cc_yaml['prohibited_practice']['ai_system']:
-            if key[value]: 
-                print("You are engaged in a prohibited practice and thus the project is non-compliant.")
-                return True
-    if project_cc_yaml['prohibited_practice']['biometric']['categorization']:
-        print("You are engaged in a prohibited practice and thus the project is non-compliant.")
-        return True
-    if project_cc_yaml['prohibited_practice']['biometric']['real_time'] and sum(map(bool, [project_cc['prohibited_practice']['biometric']['real_time_exception_victim'],project_cc['prohibited_practice']['biometric']['real_time_exception_threat'], project_cc['prohibited_practice']['biometric']['real_time_exception_investigation']])) == 0:
-        print("You are engaged in a prohibited practice and thus the project is non-compliant.")
-        return True
-    else: 
-        print("You are not engaged in any prohibited practices.")
-        return False
-
-def check_all_true(file_path):
-    # Load the YAML file
-    with open("./project_cc.yaml", 'r') as file:
-        data = yaml.safe_load(file)
-
-    # Iterate through top-level keys
-    for top_key, top_value in data.items():
-        if isinstance(top_value, dict):
-            # Iterate through second-level keys
-            for second_key, second_value in top_value.items():
-                if not second_value:
-                    print("You are non-compliant with the Act")
-                    break
-            else:
-                print("No problems here")
-
-def main():
-    # Prompt the user to enter a filename
-    file_path = "./" # input("Please enter a file path to the folder containing all your AI project's Compliance Cards: ")
-
-    # Call the function with the entered filename
-    check_for_project_cc(file_path)
-
-if __name__ == "__main__":
-    main()

utils.py

@@ -0,0 +1,107 @@
+import yaml
+   
+def set_type(project_variables, project_cc_yaml):
+
+    project_type = None
+    
+    ai_system = project_variables['ai_project_type']['ai_system']
+    gpai_model = project_variables['ai_project_type']['gpai_model']
+    
+    if project_cc_yaml['ai_system']['ai_system']['value']:
+        ai_system = True
+    if project_cc_yaml['gpai_model']['gpai_model']['value']:
+        gpai_model = True
+    if ai_system and gpai_model:
+        msg = ("Your project cannot be both an AI system and a GPAI model. Please revise your Project CC accordingly.")
+    if ai_system == True:
+        for key, value in project_cc_yaml['high_risk_ai_system']:
+            if value and sum(map(bool, [project_cc_yaml['high_risk_ai_system']['filter_exception_rights'],project_cc_yaml['high_risk_ai_system']['filter_exception_narrow'],project_cc_yaml['high_risk_ai_system']['filter_exception_human'],project_cc_yaml['high_risk_ai_system']['filter_exception_deviation'], project_cc_yaml['high_risk_ai_system']['filter_exception_prep']])) < 1:
+                project_type = "high_risk_ai_system"
+                
+    if gpai_model == True:
+        if project_cc_yaml['gpai_model_systematic_risk']['evaluation'] or project_cc_yaml['gpai_model_systematic_risk']['flops']:
+            project_type = "gpai_model_systematic_risk"
+            
+    return project_type
+
+def set_operator_role_and_location(project_variables, project_cc_yaml):
+    operators = 0
+    
+    ai_system = project_variables['ai_project_type']['ai_system']
+    gpai_model = project_variables['ai_project_type']['gpai_model']
+    
+    for var in project_variables['operator_role']:
+        if project_cc_yaml['operator_role'][f'{var}']['value']:
+            project_variables['operator_role'][f'{var}'] = True
+            operators += 1 
+        
+    if ai_system and gpai_model:
+        msg = ("Your project cannot be both an AI system and a GPAI model. Please revise your Project CC accordingly.")
+    if operators != 1:
+        msg = ("Please specify exactly one operator role.")
+    
+    return project_variables
+
+def set_eu_market_status(project_variables, project_cc_yaml):
+    
+    if project_cc_yaml['eu_market_status']['placed_on_market']['value']:
+        project_variables['eu_market_status']["placed_on_market"] = True
+    if project_cc_yaml['eu_market_status']['put_into_service']['value']:
+        project_variables['eu_market_status']["put_into_service"] = True
+        
+    if project_cc_yaml['operator_role']['output_used']['value']:
+        project_variables['operator_role']["output_used"] = True
+        
+    return project_variables
+
+
+def check_within_scope(project_cc_yaml):
+    if not check_excepted(project_cc_yaml):
+        if provider and ((ai_system and (placed_on_market or put_into_service)) or (gpai_model and placed_on_market)):   # Article 2.1(a)
+            return True
+        if deployer and eu_located: # Article 2.1(b)
+            return True
+        if (provider or deployer) and (ai_system and eu_located and output_used): # Article 2.1(c)
+            return True
+        if (importer or distributor) and ai_system: # Article 2.1(d)
+            return True
+        if product_manufacturer and ai_system and (placed_on_market or put_into_service): # Article 2.1(e)
+            return True
+    else:
+        return False
+
+def check_excepted(project_cc_yaml):
+    if project_cc_yaml['excepted']['scientific'] or project_cc_yaml['excepted']['pre_market'] or (ai_system and project_cc_yaml['excepted']['open_source_ai_system']) or (gpai_model and project_cc_yaml['excepted']['open_source_gpai_system']):
+        return True
+    else:
+        return False 
+
+# def check_prohibited (project_cc_yaml):
+#     if ai_system:
+#         for key in project_cc_yaml['prohibited_practice']['ai_system']:
+#             if key[value]: 
+#                 print("You are engaged in a prohibited practice and thus the project is non-compliant.")
+#                 return True
+#     if project_cc_yaml['prohibited_practice']['biometric']['categorization']:
+#         print("You are engaged in a prohibited practice and thus the project is non-compliant.")
+#         return True
+#     if project_cc_yaml['prohibited_practice']['biometric']['real_time'] and sum(map(bool, [project_cc_yaml['prohibited_practice']['biometric']['real_time_exception_victim'],project_cc['prohibited_practice']['biometric']['real_time_exception_threat'], project_cc_yaml['prohibited_practice']['biometric']['real_time_exception_investigation']])) == 0:
+#         print("You are engaged in a prohibited practice and thus the project is non-compliant.")
+#         return True
+#     else: 
+#         print("You are not engaged in any prohibited practices.")
+#         return False
+
+# def check_all_true(file_path):
+#     data = yaml.safe_load(file_path)
+
+#     # Iterate through top-level keys
+#     for top_key, top_value in data.items():
+#         if isinstance(top_value, dict):
+#             # Iterate through second-level keys
+#             for second_key, second_value in top_value.items():
+#                 if not second_value:
+#                     print("You are non-compliant with the Act")
+#                     break
+#             else:
+#                 print("No problems here")