# Dash Docs Chatbot

**URL:** <https://community.plotly.com/t/dash-docs-chatbot/79763>\
**Category:** Dash Python\
**Tags:** announcements\
**Created:** [October 31, 2023, 4:52pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763 "2023-10-31T16:52:32Z")\
**Posts on this page:** 8\
**Page:** 1

<div class="post-metadata">

**Author:** ![adamschroeder](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/adamschroeder/32/17280_2.png) [@adamschroeder](https://community.plotly.com/u/adamschroeder)\
**Post date:** [October 31, 2023, 4:52pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/1 "2023-10-31T16:52:32Z")

</div>

Breaking news 🎉  
On our [Dash Docs](https://dash.plotly.com) you’ll see a new button, `Ask AI` – representing your personal chatbot for easier data app development.

Based on LLM models trained on over 2,000 pages of our documentation, this chatbot can answer your technical questions about Dash. Read [this blog post](https://plotly.com/blog/plotly-ask-ai-chatbot-for-easier-app-development/) to learn how it provides real-time code suggestions, error identification, up-to-date information, guided discovery, personalized solutions, and layout and design help.

![Ask AI](https://images.prismic.io/plotly-marketing-website-2/252bacc6-c83f-473e-9f1f-258af94effae_Intro.gif?auto=compress,format)

---

<div class="post-metadata">

**Author:** ![AIMPED](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/aimped/32/21758_2.png) [@AIMPED](https://community.plotly.com/u/AIMPED)\
**Post date:** [October 31, 2023, 5:03pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/2 "2023-10-31T17:03:09Z")

</div>

That’s a nice feature, I’ll test that in depth the future for sure! I really like the links to the reference!

Question: `How do I change the background grid of Scatter3d plots?`

Answer: 🤯

`To change the background grid of Scatter3d plots, you can use the update_layout() method of the Figure object and specify the scene parameter. Within the scene parameter, you can customize the xaxis, yaxis, and zaxis attributes to modify the background grid color.`

`Example:`

```python
import plotly.graph_objects as go
import numpy as np

N = 50
fig = go.Figure(data=[go.Scatter3d(
    x=30 * np.random.randn(N),
    y=25 * np.random.randn(N),
    z=30 * np.random.randn(N),
    mode='markers',
    marker=dict(
        size=4,
        color='blue',
        opacity=0.8
    )
)])

fig.update_layout(
    scene=dict(
        xaxis=dict(
            backgroundcolor="rgb(200, 200, 230)",
            gridcolor="white",
            showbackground=True,
            zerolinecolor="white"
        ),
        yaxis=dict(
            backgroundcolor="rgb(230, 200, 230)",
            gridcolor="white",
            showbackground=True,
            zerolinecolor="white"
        ),
        zaxis=dict(
            backgroundcolor="rgb(230, 230, 200)",
            gridcolor="white",
            showbackground=True,
            zerolinecolor="white"
        )
    )
)

fig.show()

```

---

<div class="post-metadata">

**Author:** ![davzup89](https://avatars.discourse-cdn.com/v4/letter/d/439d5e/32.png) [@davzup89](https://community.plotly.com/u/davzup89)\
**Post date:** [October 31, 2023, 6:06pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/3 "2023-10-31T18:06:48Z")

</div>

This is great! What would also be great is a LLM Dash component that could answer end user questions about underlying plot data

---

<div class="post-metadata">

**Author:** ![jinnyzor](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/jinnyzor/32/21194_2.png) [@jinnyzor](https://community.plotly.com/u/jinnyzor)\
**Post date:** [October 31, 2023, 6:16pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/4 "2023-10-31T18:16:52Z")

</div>

Hello @davzup89,

There was a competition for this, check for the AI competition.

Please note, that using OpenAI is not free, and you’ll need to make your own api key, etc.

* * *

Botly needs some training on the properties of components, he was creating some on AG Grid and also seemingly DataTable.

---

<div class="post-metadata">

**Author:** ![AIMPED](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/aimped/32/21758_2.png) [@AIMPED](https://community.plotly.com/u/AIMPED)\
**Post date:** [October 31, 2023, 6:22pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/5 "2023-10-31T18:22:18Z")

</div>

> [@jinnyzor](#):
>
> Botly

What a great name!

---

<div class="post-metadata">

**Author:** ![adamschroeder](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/adamschroeder/32/17280_2.png) [@adamschroeder](https://community.plotly.com/u/adamschroeder)\
**Post date:** [October 31, 2023, 6:22pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/6 "2023-10-31T18:22:30Z")

</div>

Thanks for pointing the competition out, @jinnyzor

Here’s the link: [Dash-ChatGPT App Challenge](https://community.plotly.com/t/dash-chatgpt-app-challenge/75763)

Some of the submitted apps were also added to [Plotly Explore Apps Page](https://plotly.com/examples/generative-ai-chatgpt/).

---

<div class="post-metadata">

**Author:** ![johnkangw](https://avatars.discourse-cdn.com/v4/letter/j/c67d28/32.png) [@johnkangw](https://community.plotly.com/u/johnkangw)\
**Post date:** [October 31, 2023, 6:43pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/7 "2023-10-31T18:43:39Z")

</div>

Wow, super cool! Does Plotly have any plans on integrating with an IDE (PyCharm)?

---

<div class="post-metadata">

**Author:** ![marcosh](https://avatars.discourse-cdn.com/v4/letter/m/dfb087/32.png) [@marcosh](https://community.plotly.com/u/marcosh)\
**Post date:** [November 1, 2023, 4:25pm UTC](https://community.plotly.com/t/dash-docs-chatbot/79763/8 "2023-11-01T16:25:57Z")

</div>

Am I the only one that thinks this isn’t a great idea? LLMs have many limitations, and while producing limited structures like code is probably among their better use case it’s still essentially fancy autocomplete.

Mozilla had to walk back a similar decision:

> <https://github.com/mdn/yari/issues/9208>
>
> \### Summary
> 
> MDN's new "ai explain" button on code blocks generates human-like… text that may be correct by happenstance, or may contain convincing falsehoods. this is a strange decision for a technical reference.
> 
> \### URL
> 
> https://developer.mozilla.org/en-US/docs/Web/CSS/grid
> 
> \### Reproduction steps
> 
> as soon as i heard about this, i visited the first MDN article in my address bar history (for \[the grid property\](https://developer.mozilla.org/en-US/docs/Web/CSS/grid)), hit "ai explain" on the first code block encountered (the syntax summary), and received the following information:
> 
> \> \`grid: "a" 100px "b" 1fr;\`: This value sets the grid template to have two rows and two columns. The first row has a height of 100 pixels and the second row has a height of 1 fraction unit (1fr). The columns are named "a" and "b".
> 
> which is deeply but subtly incorrect — this creates only \_one\_ column (more would require a slash), and the quoted strings are names of areas, not columns. but it's believable, and it's interwoven with explanations of other property values that \_are\_ correct. this is especially bad since grid is a complex property with a complex shorthand syntax — exactly the sort of thing someone might want to hit an "explain" button on.
> 
> the generated text appears to be unreviewed, unreliable, unaccountable, and even unable to be corrected. at least if the text were baked into a repository, it could be subject to human oversight and pull requests, but as best i can tell it's just in a cache somewhere? it seems like this feature was conceived, developed, and deployed without even considering that an LLM might generate convincing gibberish, even though that's precisely what they're designed to do.
> 
> and far from disclaiming that the responses might be confidently wrong, you have called it a \["\_trusted\_ companion"\](https://developer.mozilla.org/en-US/blog/introducing-ai-help/). i don't understand this.
> 
> \### Expected behavior
> 
> i would like MDN to contain correct information 
> 
> \### Actual behavior
> 
> MDN has generated a convincing-sounding lie and there is no apparent process for correcting it
> 
> \### Device
> 
> Desktop
> 
> \### Browser
> 
> Firefox
> 
> \### Browser version
> 
> Stable
> 
> \### Operating system
> 
> Linux
> 
> \### Screenshot
> 
> \_No response\_
> 
> \### Anything else?
> 
> \_No response\_
> 
> \### Validations
> 
> \- \[X\] I have read the \[Community Participation Guidelines\](https://www.mozilla.org/en-US/about/governance/policies/participation/).
> \- \[X\] I have verified that there isn't \[already an issue\](https://github.com/mdn/yari/issues) that reports the same bug to avoid creating a duplicate.
> \- \[X\] I have checked that this is a concrete bug. For Q&A open a \[GitHub Discussion\](https://github.com/orgs/mdn/discussions/categories/platform).