Cannot Implement Multi-color Intertopic Distance Map Visualization

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Hello,

I'm trying to customize the intertopic distance map in BERTopic to show different color bubbles for each topic. I've attempted to modify the _topic.py file to include Seaborn's color palette but haven't achieved the desired effect. I am wondering how best to proceed.

My Approach
Here is the relevant section of code I modified in the _topic.py file to support multi-color visualization:

```
# I added this code to generate different colours
color_palette = sns.color_palette("hsv", len(topics)).as_hex()

# ... continued with other parts of the code
df = pd.DataFrame({"x": embeddings[:, 0], "y": embeddings[:, 1],
"Topic": topic_list, "Words": words, "Size": frequencies, "Color": color_palette})
```

I did not see any change in the colors of the bubbles after running this modified code.

What I Expected:
I expected to see each bubble in the intertopic distance map with a unique color, as defined by the Seaborn's color palette.

What Happened:
However, the colors in the intertopic distance map remained unchanged.

Questions:
Is the _topic.py the correct place to modify for customizing colors in the intertopic distance map?
Are there specific steps or methods within BERTopic that I need to utilize to change the colors effectively?
Could you guide me on how to modify the code so that it would achieve the desired multi-color visualization?
Thank you for your time and consideration. I look forward to your guidance to resolve this issue.

Best regards,
Paris Kang


Start in _topic.py and trace how the intertopic distance map assigns bubble colors after the DataFrame is created. Compare the requested Seaborn palette with the visualization path; done means each topic bubble displays a distinct color without changing the map's existing behavior.

Written by the indexing model from the issue text.