NeoPy's picture
Upload folder using huggingface_hub
867b17d verified
raw
history blame
1.95 kB
import { put } from '@vercel/blob';
import { NextResponse } from 'next/server';
import { z } from 'zod';
import { auth } from '@/app/(auth)/auth';
// Use Blob instead of File since File is not available in Node.js environment
const FileSchema = z.object({
file: z
.instanceof(Blob)
.refine((file) => file.size <= 5 * 1024 * 1024, {
message: 'File size should be less than 5MB',
})
// Update the file type based on the kind of files you want to accept
.refine((file) => ['image/jpeg', 'image/png'].includes(file.type), {
message: 'File type should be JPEG or PNG',
}),
});
export async function POST(request: Request) {
const session = await auth();
if (!session) {
return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });
}
if (request.body === null) {
return new Response('Request body is empty', { status: 400 });
}
try {
const formData = await request.formData();
const file = formData.get('file') as Blob;
if (!file) {
return NextResponse.json({ error: 'No file uploaded' }, { status: 400 });
}
const validatedFile = FileSchema.safeParse({ file });
if (!validatedFile.success) {
const errorMessage = validatedFile.error.errors
.map((error) => error.message)
.join(', ');
return NextResponse.json({ error: errorMessage }, { status: 400 });
}
// Get filename from formData since Blob doesn't have name property
const filename = (formData.get('file') as File).name;
const fileBuffer = await file.arrayBuffer();
try {
const data = await put(`${filename}`, fileBuffer, {
access: 'public',
});
return NextResponse.json(data);
} catch (error) {
return NextResponse.json({ error: 'Upload failed' }, { status: 500 });
}
} catch (error) {
return NextResponse.json(
{ error: 'Failed to process request' },
{ status: 500 },
);
}
}