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import gradio as gr |
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import pandas as pd |
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df = pd.read_csv("human_like_security_reasoning.csv") |
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def get_scenario(scenario_id): |
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row = df[df["scenario_id"] == scenario_id].iloc[0] |
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return ( |
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row["situation"], |
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row["context"], |
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row["human_thought_process"], |
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row["possible_mistake"], |
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row["correct_decision"], |
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row["risk_level"], |
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row["explanation"] |
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) |
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with gr.Blocks(title="Human-Like Security Reasoning Explorer") as demo: |
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gr.Markdown(""" |
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# 🔐 Human-Like Security Reasoning Explorer |
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Explore cybersecurity, system, and network scenarios |
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with **human-style thinking and decision making**. |
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""") |
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scenario_selector = gr.Dropdown( |
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choices=df["scenario_id"].tolist(), |
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label="Select Scenario ID" |
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) |
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situation = gr.Textbox(label="Situation") |
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context = gr.Textbox(label="Context") |
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thought = gr.Textbox(label="Human Thought Process") |
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mistake = gr.Textbox(label="Possible Mistake") |
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decision = gr.Textbox(label="Correct Decision") |
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risk = gr.Textbox(label="Risk Level") |
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explanation = gr.Textbox(label="Explanation") |
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scenario_selector.change( |
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get_scenario, |
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inputs=scenario_selector, |
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outputs=[ |
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situation, |
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context, |
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thought, |
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mistake, |
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decision, |
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risk, |
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explanation |
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] |
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) |
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demo.launch() |
