Thanks for the suggestion, I’ll definitely try to make the app as language inclusive as possible!

Also, sorry if I might’ve been too vague with the post title. The app is just similar to Duolingo in terms of structure and the idea, however it’s not specific to language learning but supposed to cater to any subject, really.

For example, I personally use it to study for my university subjects.

This app seems to be about any generic courses, not just language learning. So someone can make a language course in the way you’ve described

Yeah, it’s my minor pet peeve with Duolingo, like source language and my language doesn’t have/need suffixes like “the” or “a” so I often forget about it, it’s soo annoying to fail because of such minor thing, especially when their suggested English often looks terrible

In case OP doesn’t know, if a repo hasn’t got a licence it’s implied it’s licensed under “all rights reserved”, so not open source! You need to https://choosealicense.com

It’s GPLv3 now.

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

Thanks! I’m already eyeing ollama for this.

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.

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…

Thanks :)

The UI mostly works offline once loaded in due to aggressive caching. Downloading Course Content was on the initial Roadmap but I removed it since I wasn’t sure if anyone would like the feature.

Syncing stuff is a real pain in the ass but I’ll implement it if at least a couple people want it.

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;
}

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?

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