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File size: 2,226 Bytes
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// latent-consistency/lcm-lora-sdv1-5
/** @type {import('./$types').RequestHandler} */
import { json } from '@sveltejs/kit';
// import moment from 'moment';
import prisma from '$lib/prisma';
export async function POST({ request, params }) {
const headers = Object.fromEntries(request.headers.entries());
const slug= params?.slug?.replace("@", "/")
if (headers["x-hf-token"] !== process.env.SECRET_HF_TOKEN) {
return Response.json({
message: "Wrong castle fam :^)"
}, { status: 401 });
}
const response = await fetch(`https://huggingface.co/api/models/${slug}`)
const model = await response.json();
const hasImages = model?.siblings?.filter((sibling: Record<string, string>) => sibling?.rfilename.endsWith(".png") || sibling?.rfilename.endsWith(".jpeg") || sibling?.rfilename.endsWith(".jpg"))
if (hasImages.length > 0) {
model.image = hasImages[1]?.rfilename ? `https://huggingface.co/${model.id}/resolve/main/${hasImages[1]?.rfilename}` : `https://huggingface.co/${model.id}/resolve/main/${hasImages[0]?.rfilename}`
} else {
const hasReadme = model?.siblings?.find((sibling: Record<string, string>) => sibling?.rfilename === "README.md")
if (hasReadme) {
const readmeRes = await fetch(`https://huggingface.co/${model.id}/raw/main/README.md`)
const readme = await readmeRes.text().catch(() => null)
if (!readme) {
return json({
message: "No readme"
}, { status: 404 })
}
const imageRegex = /!\[.*\]\((.*)\)/
let image = readme.match(imageRegex)?.[1]
if (!image) {
return json({
message: "No image found"
}, { status: 404 })
}
image = image.replace(///g, "/")
if (image.startsWith("http")) model.image = image
else model.image = `https://huggingface.co/${model.id}/resolve/main/${image.replace("./", "")}`
}
}
await prisma.model.create({
data: {
id: model.id,
image: model.image,
likes: model.likes,
downloads: model.downloads,
isPublic: true,
instance_prompt: model?.cardData?.instance_prompt,
}
}).catch(() => {})
return json({
message: `Successfully added the model ${model.id}`,
})
}
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