Some context, building Chat assistants using generative AI is a great way to start learning about AI. What you'll learn is to integrate generative AI into a web app throughout this lesson, let's begin.
@ -12,11 +14,16 @@ Some context, building Chat assistants using generative AI is a great way to sta
For the backend, we're using GitHub Models. It's a great service that enables you to use AI for free. Go to its playground and grab code that corresponds to your chosen backend language. Here's what it looks like at [GitHub Models Playground](https://github.com/marketplace/models/azure-openai/gpt-4o-mini/playground)
<div>
<imgsrc="./assets/playground.png"alt="GitHub Models AI Playground"with="600">
</div>
As we said, select the "Code" tab and your chosen runtime.
With this function `call_llm` we can now take a prompt and a system prompt and the function ends up returning the result.
### customize
### Customize AI Assistant
If you want to customize the AI assistant you can specify how you want it to behave by populating the system prompt like so:
@ -161,7 +168,7 @@ To integrate *llm.py* here's what we need to do:
Great, now we have done what we need.
### cors
### Configure Cors
We should call out that we set up something like CORS, cross-origin resource sharing. This means that because our backend and frontend will ron on different ports, we need to allow the frontend to call into the backend. There's a piece of code in *api.py* that sets this up:
@ -174,7 +181,7 @@ CORS(app) # * example.com
Right now it's been set up to allow "*" which is all origins and that's a bit unsafe, we should restrict it once we go to production.
## all together
## Run your project
Ok, so we have *llm.py* and *api.py*, how can we make this work with a backend? Well, there's two things we need to do:
@ -208,7 +215,7 @@ app.js
styles.css
```
Let's start with *index.html*:
Let's start with **index.html**:
```html
<html>
@ -228,6 +235,8 @@ Let's start with *index.html*:
This above is the absolute minimum you need to support a chat window, as it consists of a textarea where messages will be rendered, an input for where to type the message and a button for sending your message to the backend. Let's look at the JavaScript next in *app.js*
**app.js**
```js
// app.js
@ -304,12 +313,14 @@ Let's look at styling next, here's where you can go really crazy and make it loo
background: blue;
}
.message: assistant: grey;
.message.assistant {
background: grey;
}
```
With these three classes, you will style messages different depending on where they come from an assistant or you as a user. If you want to be inspired, check out the `frontend/` folder.
With these three classes, you will style messages different depending on where they come from an assistant or you as a user. If you want to be inspired, check out the `solution/frontend/styles.css` folder.
### base url
### Change Base Url
There was one thing here we didn't set and that was `BASE_URL`, this is not known until your backend is started. To set it:
@ -322,13 +333,13 @@ Create your own folder *project* with content like so:
```text
project/
frontend/
index.html
app.js
styles.css
backend/
api.py
llm.py
frontend/
index.html
app.js
styles.css
backend/
api.py
llm.py
```
Copy the content from what was instructed from above but feel free to customize to your liking
@ -349,5 +360,5 @@ Change also the CSS and text to your liking, so do changes in *index.html* and *
## Summary
Great, you've learned from scratch how to create a personal assistant using AI. We'v done so using GitHub Models, a backend in Python and a frontend in HTML, CSS and JavaScript
Great, you've learned from scratch how to create a personal assistant using AI. We've done so using GitHub Models, a backend in Python and a frontend in HTML, CSS and JavaScript
chris
1 week ago