Yeah agree, I’ll definitely implement that one.

Right now I’m working on “match the cards”.

Edit: For audio I’m not so sure on how I would do it. I don’t think most people would record it themselves when creating a course so I would need to generate it. Then you’d have the issue about correct pronunciation…

Hi, you created the Korean course right? Thanks for contributing!

If you have any feature requests or suggestions please put them here: Feature Requests

There’s also a collection specific for question types: Question Types Collection

Thanks! I’m already eyeing ollama for this.

Haha. Well we can’t all actually be Duolingo and employ people to create the courses :D

Please do :). I take any help I can get.

That’s weird. Did a quick google and it does seem to be 25 USD. Last time I made one it were 25 for sure as well - but that one got banned due to inactivity D:

Fair opinion. Native Apps do have some huge advantages, but also some disadvantages.

I’ve coded both before (although way more PWAs) and with Native you also run into Platform issues as long as you don’t ship exclusively for one Platform.

PWAs have a huge advantage here since they run the same everywhere as long as the Platform has a browser which is not safari.

Is it for self-host ppl too?

In theory not an issue. I use Supabase, which you can self host as well.

You can also self host the Mistral Client, but not Gemini. However, I am planning to move away from Gemini towards a more open solution which would also support self hosting, or in-browser AI.

I am looking for OIDC, S3 and PgSQL

Since I use Supabase, it runs on PgSQL and Supabase Storage, which is just an Adapter to AWS S3 - or any S3, really. For Auth, I use Supabase Auth which uses OAuth 2.0, that’s the same as OIDC right?

Thanks. My general strategy regarding GenAI and reducing the amount of hallucinations is by not giving it the task to make stuff up, but to just work on existing text - that’s why I’m not allowing users to create content without source material.

However, LLMs will be LLMs and I’ve been testing it out a lot and found already multiple hallucinations. I built in a reporting system, although only reporting stuff works right now, not viewing reported questions.

That’s my short term plan to get a good content quality, at least. I also want to move away from Vercel AI & Gemini to a Langchain Agent system or Graph maybe, which will increase the output Quality.

Maybe in some parallel Universe this really takes off and many people work on high quality Courses together…

Yeah, good idea. It’s possible to do that with WebLLM & Langchain. Once Langchain is integrated, it’s kinda similar to the Python Version so should be do-able I think.

Would be nice for sure… 0 forks yet… but I’m hopeful :D

Yeah you’re right. I switched it to AGPL.

Thank you!. Let me know if you find out more about the issue. I’ll also keep an eye out for the cause.

Edit: I’ve opened an Issue for this on GitHub: https://github.com/cr4yfish/nouv/issues/2

Thanks, haha. I’d love develop a Native App for it too but this is a zero-budget Project (aside from the Domain). PlayStore has a one-time fee so that’s 25€ for Android + 8€/Month for the IOS AppStore just to have the App on there.

In theory, I could just have a downloadable .apk for Android to circumvent the fee but most people don’t want to install a random .apk from the internet. And I’m not developing a Native App for like 3 people excluding myself (I’m an iPhone user).

Soo, yeah that’ll probably not happen :(.

Thanks :)

Hm that’s very weird. I can’t replicate it and I used some random SSL checker website and it checks out as well.

Really not sure why that’s happening.

it’s implied it’s licensed under “all rights reserved”, so not open source!

Oh, I actually did not know that. I’ll try to remember adding a License right from the get-go from now on, thanks :)

It’s GPLv3 now.

oh, right. Forget that every time. I’ll add one.

I use Gemini, which supports PDF File uploads, combined with structured outputs to generate Course Sections, Levels & Question JSON.

When you upload a PDF, it first gets uploaded to a S3 Database directly from the Browser, which then sends the Filename and other data to the Server. The Server then downloads that Document from the S3 and sends it to Gemini, which then streams JSON back to the Browser. After that, the PDF is permanently deleted from the S3.

Data Privacy wise, I wouldn’t upload anything sensitive since idk what Google does with PDFs uploaded to Gemini.

The Prompts are in English, so the output language is English as well. However, I actually only tested it with German Lecture PDFs myself.

So, yes, it probably works with any language that Gemini supports.

Here is the Source Code for the core function for this feature:

export async function createLevelFromDocument(
    { docName, apiKey, numLevels, courseSectionTitle, courseSectionDescription }: 
    { docName: string, apiKey: string, numLevels: number, courseSectionTitle: string, courseSectionDescription: string }) 
    {
    
    const hasCourseSection = courseSectionTitle.length > 0 && courseSectionDescription.length > 0;

    // Step 1: Download the PDF and get a buffer from it
    const blob = await downloadObject({ filename: docName, path: "/", bucketName: "documents" });
    const arrayBuffer = await blob.arrayBuffer();
    
    // Step 2: call the model and pass the PDF
    //const openai = createOpenAI({ apiKey: apiKey });
    const gooogle = createGoogleGenerativeAI({ apiKey: apiKey });

    const courseSectionsPrompt = createLevelPrompt({ hasCourseSection, title: courseSectionTitle, description: courseSectionDescription });
    
    const isPDF = docName.endsWith(".pdf");

    const content: UserContent = [];

    if(isPDF) {
        content.push(pdfUserMessage(numLevels, courseSectionsPrompt) as any);
        content.push(pdfAttatchment(arrayBuffer) as any);
    } else {
        const html = await blob.text();
        content.push(htmlUserMessage(numLevels, courseSectionsPrompt, html) as any);
    }

    const result = await streamObject({ 
        model: gooogle("gemini-1.5-flash"),
        schema: multipleLevelSchema,
        messages: [
            {
                role: "user",
                content: content
            }
        ]
    })
    

    return result;
}