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import gradio as gr
from autogen import AssistantAgent, UserProxyAgent, GroupChatManager
from transformers import pipeline
# Initialize sentiment analysis pipeline
sentiment_analyzer = pipeline("sentiment-analysis")
# Define specialized agents
class ThreatIntelAgent(AssistantAgent):
def __init__(self):
super().__init__(name="ThreatIntelAgent", system_message="You are a Threat Intelligence Agent. Analyze IoCs, malware, and threat feeds.")
def analyze_ioc(self, ioc):
# Placeholder for threat intelligence analysis
return f"Analyzed IoC: {ioc}. This matches known ransomware patterns."
class ComplianceAgent(AssistantAgent):
def __init__(self):
super().__init__(name="ComplianceAgent", system_message="You are a Compliance Agent. Handle regulatory queries and audit support.")
def check_compliance(self, query):
# Placeholder for compliance checks
return f"Compliance check for: {query}. This aligns with GDPR guidelines."
# Central AutoGen Manager
class AutoGenManager:
def __init__(self):
self.threat_intel_agent = ThreatIntelAgent()
self.compliance_agent = ComplianceAgent()
def route_request(self, user_input, user_role):
# Sentiment analysis
sentiment = sentiment_analyzer(user_input)[0]
print(f"Sentiment: {sentiment}")
# Route based on role and input
if user_role == "Threat Analyst":
return self.threat_intel_agent.analyze_ioc(user_input)
elif user_role == "Compliance Officer":
return self.compliance_agent.check_compliance(user_input)
else:
return "Request routed to general support."
# Gradio Interface
def chat_interface(user_input, user_role):
manager = AutoGenManager()
response = manager.route_request(user_input, user_role)
return response
# Create Gradio app
with gr.Blocks() as demo:
gr.Markdown("## AI-Powered Cybersecurity Assistant")
with gr.Row():
user_input = gr.Textbox(label="Your Request", placeholder="Enter your request here...")
user_role = gr.Dropdown(
label="Your Role",
choices=["Threat Analyst", "Compliance Officer", "Security Engineer", "General User"],
value="General User"
)
output = gr.Textbox(label="Response")
submit_btn = gr.Button("Submit")
submit_btn.click(fn=chat_interface, inputs=[user_input, user_role], outputs=output)
# Launch the app
if __name__ == "__main__":
demo.launch() |