# Seashell language model reply generator and extended word filtering

**URL:** <https://community.thunkable.com/t/seashell-language-model-reply-generator-and-extended-word-filtering/2553915>\
**Category:** Questions about Thunkable X\
**Tags:** ai, language, app\
**Created:** [August 21, 2023, 5:51am UTC](https://community.thunkable.com/t/seashell-language-model-reply-generator-and-extended-word-filtering/2553915 "2023-08-21T05:51:37Z")\
**Posts on this page:** 4\
**Page:** 2

<div class="post-metadata">

**Author:** ![samclever](https://avatars.discourse-cdn.com/v4/letter/s/ec9cab/32.png) [@samclever](https://community.thunkable.com/u/samclever)\
**Post date:** [August 21, 2023, 8:31am UTC](https://community.thunkable.com/t/seashell-language-model-reply-generator-and-extended-word-filtering/2553915/21 "2023-08-21T08:31:47Z")

</div>

Here’s a real quick reply generator I made. To expand it would require a serious plan. Either each word gets entered and you check each row OR you make a category list and then check each list to see if it contains the typed in word. then you could call that category from your table and it could pick out a reply. Just my quick thoughts. Not sure if thats what youre thinking or not.

 ![ParseDataList2](https://us1.discourse-cdn.com/flex015/uploads/thunkable/original/3X/5/2/52dd05cf16f1ef1da6fe33cd598967d3c865b17e.png)  
 ![ParseDataList3](https://us1.discourse-cdn.com/flex015/uploads/thunkable/original/3X/7/5/75baf5a89812954383ba11f3392105faad5f5c31.png)

---

<div class="post-metadata">

**Author:** ![jahaan](https://avatars.discourse-cdn.com/v4/letter/j/6bbea6/32.png) [@jahaan](https://community.thunkable.com/u/jahaan)\
**Post date:** [August 21, 2023, 4:30pm UTC](https://community.thunkable.com/t/seashell-language-model-reply-generator-and-extended-word-filtering/2553915/22 "2023-08-21T16:30:08Z")

</div>

This would work, it’s not the most efficient to enter 9 items into each row of a dataset but yes, it would work. The only thing is, we need a better language filter that can find _any_ occurrence of any word marked N/NO in the dataset, not just the first. I’ll see what I can do about that, but yes, creating a language model is a lot of work. This is mainly a test for fun, learning and just to see what I can and can’t make with Thunkable, but I plan to expand it over time if it works. I’m willing to spend a lot of time on this project.

---

<div class="post-metadata">

**Author:** ![jahaan](https://avatars.discourse-cdn.com/v4/letter/j/6bbea6/32.png) [@jahaan](https://community.thunkable.com/u/jahaan)\
**Post date:** [August 21, 2023, 4:50pm UTC](https://community.thunkable.com/t/seashell-language-model-reply-generator-and-extended-word-filtering/2553915/23 "2023-08-21T16:50:12Z")

</div>

I’ll also need a minor spelling checker that can detect small spelling issues like tihs. But we’ll get to that part later. I was thinking of one more column with possible spelling errors, but don’t worry about that right now.

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/flex015/uploads/thunkable/original/3X/0/f/0f59f292712368bce16ff80133ae10de8a6f27e8.png) [@system](https://community.thunkable.com/u/system)\
**Post date:** [November 19, 2023, 4:50pm UTC](https://community.thunkable.com/t/seashell-language-model-reply-generator-and-extended-word-filtering/2553915/24 "2023-11-19T16:50:14Z")

</div>

This topic was automatically closed 90 days after the last reply. New replies are no longer allowed.

[Previous page](https://community.thunkable.com/t/seashell-language-model-reply-generator-and-extended-word-filtering/2553915.md?page=1)
