import seaborn as sns

import matplotlib.pyplot as plt

# Data for the heatmap

data $=\{$

'Toxicity': $[1,3,4],$

'Bias': $[1,3,4],$

'Misinformation': $[2,4,4],$

'Offensive Content': $[2,3,4],$

'Privacy Violation': $[1,2,3]$

$\}$

index $=[\text{'}$General Prompts', 'Adversarial Prompts', 'Targeted Prompts'$]$

df $=$ pd$.$DataFrame$($data$,$ index$=$index$)$

# Create a custom colormap to better reflect the probability levels

colors $=[(255/255,255/255,204/255),$ # Light Yellow $($Low$)$

$(255/255,237/255,160/255),$ # Light Orange $($Medium$)$

$(254/255,178/255,76/255),$ # Orange $($High$)$

$(227/255,26/255,28/255)]$ # Red $($Very High$)$

cmap $=$ sns$.$color$\_$palette$($colors$)$

# Create the heatmap with seaborn

plt$.$figure$($figsize$=(12,8))$ # Adjust figure size

sns$.$heatmap$($df$,$ annot$=$True, cmap$=$cmap, fmt$="\mathrm{.}0$f$",$ cbar$\_$kws$=\{\text{'}$label$\text{'}$: 'Risk Level'$\},$ annot$\_$kws$=\{"$fontsize$"$: $12\})$ # Increased font size

# Add labels and title

plt$.$title$(\text{'}$Enhanced Framework for Prompt$-$Based Risk Identification', fontsize$=14)$

plt$.$xlabel$(\text{'}$Prompt Type', fontsize$=12)$

plt$.$ylabel$(\text{'}$Risk Category', fontsize$=12)$

plt$.$xticks$($fontsize$=10)$

plt$.$yticks$($fontsize$=10)$

# Add bibliography references to each cell

for i in range$($len$($df$))$:

for j in range$($len$($df$.$columns$))$:

if df$.$values$[$i$,$ j$]==1$:

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$A$",$ ha$=$"center", va$=$"center"$)$

elif df$.$values$[$i$,$ j$]==2$:

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$A$,$ G$",$ ha$=$"center", va$=$"center"$)$

elif df$.$values$[$i$,$ j$]==3$:

if df$.$columns$[$j$]==$ "Toxicity":

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$P$",$ ha$=$"center", va$=$"center"$)$

elif df$.$columns$[$j$]==$ "Privacy Violation":

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$L$",$ ha$=$"center", va$=$"center"$)$

else:

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$P$,$ Z$",$ ha$=$"center", va$=$"center"$)$

elif df$.$values$[$i$,$ j$]==4$:

if df$.$columns$[$j$]$ in $["$Bias$",$ "Privacy Violation"$]$:

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$L$",$ ha$=$"center", va$=$"center"$)$

elif df$.$columns$[$j$]==$ "Toxicity":

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$G$",$ ha$=$"center", va$=$"center"$)$

else:

plt$.$text$($j $+0\mathrm{.}5,$ i $+0\mathrm{.}8,"$A$,$ P$",$ ha$=$"center", va$=$"center"$)$

# Show the plot

plt$.$show$()$ create this heatmap