import gradio as gr
import pandas as pd

# Load dataset
df = pd.read_csv("human_like_security_reasoning.csv")

def get_scenario(scenario_id):
    row = df[df["scenario_id"] == scenario_id].iloc[0]
    return (
        row["situation"],
        row["context"],
        row["human_thought_process"],
        row["possible_mistake"],
        row["correct_decision"],
        row["risk_level"],
        row["explanation"]
    )

with gr.Blocks(title="Human-Like Security Reasoning Explorer") as demo:
    gr.Markdown("""
    # 🔐 Human-Like Security Reasoning Explorer

    Explore cybersecurity, system, and network scenarios
    with **human-style thinking and decision making**.
    """)

    scenario_selector = gr.Dropdown(
        choices=df["scenario_id"].tolist(),
        label="Select Scenario ID"
    )

    situation = gr.Textbox(label="Situation")
    context = gr.Textbox(label="Context")
    thought = gr.Textbox(label="Human Thought Process")
    mistake = gr.Textbox(label="Possible Mistake")
    decision = gr.Textbox(label="Correct Decision")
    risk = gr.Textbox(label="Risk Level")
    explanation = gr.Textbox(label="Explanation")

    scenario_selector.change(
        get_scenario,
        inputs=scenario_selector,
        outputs=[
            situation,
            context,
            thought,
            mistake,
            decision,
            risk,
            explanation
        ]
    )

demo.launch()