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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,48 @@ | ||
| 'use client' | ||
|
|
||
| import { useCompletion } from 'ai/react' | ||
| import { Button } from '@/components/ui/button' | ||
| import { Textarea } from '@/components/ui/textarea' | ||
| import { MagicWandIcon } from '@radix-ui/react-icons' | ||
| import { ComponentPropsWithoutRef } from 'react' | ||
| import { Loader2 } from 'lucide-react' | ||
|
|
||
| export interface VideoDescriptionInputProps | ||
| extends ComponentPropsWithoutRef<'textarea'> { | ||
| videoId: string | ||
| } | ||
|
|
||
| export function VideoDescriptionInput({ | ||
| videoId, | ||
| ...props | ||
| }: VideoDescriptionInputProps) { | ||
| const { completion, complete, isLoading } = useCompletion({ | ||
| api: `/api/ai/generate/description?videoId=${videoId}`, | ||
| }) | ||
|
|
||
| return ( | ||
| <> | ||
| <Textarea | ||
| disabled={isLoading} | ||
| className="min-h-[160px] leading-relaxed" | ||
| value={completion} | ||
| {...props} | ||
| /> | ||
| <div> | ||
| <Button | ||
| disabled={isLoading} | ||
| onClick={() => complete(videoId)} | ||
| size="sm" | ||
| variant="outline" | ||
| > | ||
| {isLoading ? ( | ||
| <Loader2 className="mr-2 h-3 w-3 animate-spin" /> | ||
| ) : ( | ||
| <MagicWandIcon className="mr-2 h-3 w-3" /> | ||
| )} | ||
| Generate with AI | ||
| </Button> | ||
| </div> | ||
| </> | ||
| ) | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,118 @@ | ||
| 'use client' | ||
|
|
||
| import { Badge } from '@/components/ui/badge' | ||
| import { Button } from '@/components/ui/button' | ||
| import { | ||
| Command, | ||
| CommandEmpty, | ||
| CommandGroup, | ||
| CommandInput, | ||
| CommandItem, | ||
| CommandList, | ||
| } from '@/components/ui/command' | ||
| import { | ||
| Popover, | ||
| PopoverContent, | ||
| PopoverTrigger, | ||
| } from '@/components/ui/popover' | ||
| import { Separator } from '@/components/ui/separator' | ||
| import { cn } from '@/lib/utils' | ||
| import { CheckIcon } from '@radix-ui/react-icons' | ||
| import { Tag } from 'lucide-react' | ||
|
|
||
| const options = [ | ||
| 'ignite', | ||
| 'node', | ||
| 'react', | ||
| 'react-native', | ||
| 'explorer', | ||
| 'plus', | ||
| 'node-ddd', | ||
| ] | ||
|
|
||
| export function VideoTagInput() { | ||
| const error: any = false | ||
| const tags = ['ignite', 'node'] | ||
|
|
||
| return ( | ||
| <Popover> | ||
| <PopoverTrigger asChild> | ||
| <Button | ||
| data-error={!!error} | ||
| variant="outline" | ||
| size="sm" | ||
| className="flex h-8 items-center border-dashed px-2 data-[error=true]:border-red-400 data-[error=true]:bg-red-50" | ||
| > | ||
| <Tag className="mr-2 h-3 w-3" /> | ||
| <span className="text-xs">Tags</span> | ||
|
|
||
| {!!error && ( | ||
| <span className="ml-2 text-xs font-normal">{error.message}</span> | ||
| )} | ||
|
|
||
| {tags.length > 0 && ( | ||
| <> | ||
| <Separator orientation="vertical" className="mx-2 h-4" /> | ||
| <div className="flex gap-1"> | ||
| {tags.length > 2 ? ( | ||
| <Badge | ||
| variant="secondary" | ||
| className="pointer-events-none rounded-sm px-1 font-normal" | ||
| > | ||
| {tags.length} selected | ||
| </Badge> | ||
| ) : ( | ||
| options | ||
| .filter((option) => tags.includes(option)) | ||
| .map((option) => ( | ||
| <Badge | ||
| variant="secondary" | ||
| key={option} | ||
| className="pointer-events-none rounded-sm px-1 font-normal" | ||
| > | ||
| {option} | ||
| </Badge> | ||
| )) | ||
| )} | ||
| </div> | ||
| </> | ||
| )} | ||
| </Button> | ||
| </PopoverTrigger> | ||
| <PopoverContent className="w-[200px] p-0" align="start"> | ||
| <Command> | ||
| <CommandInput placeholder="Tags" /> | ||
| <CommandList> | ||
| <CommandEmpty>No results found.</CommandEmpty> | ||
| <CommandGroup> | ||
| {options.map((option) => { | ||
| const isSelected = tags.includes(option) | ||
|
|
||
| return ( | ||
| <CommandItem | ||
| key={option} | ||
| onSelect={() => { | ||
| // TODO: make it work | ||
| }} | ||
| > | ||
| <div | ||
| className={cn( | ||
| 'mr-2 flex h-4 w-4 items-center justify-center rounded-sm border border-primary', | ||
| isSelected | ||
| ? 'bg-primary text-primary-foreground' | ||
| : 'opacity-50 [&_svg]:invisible', | ||
| )} | ||
| > | ||
| <CheckIcon className={cn('h-4 w-4')} /> | ||
| </div> | ||
| <span>{option}</span> | ||
| </CommandItem> | ||
| ) | ||
| })} | ||
| </CommandGroup> | ||
| </CommandList> | ||
| </Command> | ||
| </PopoverContent> | ||
| </Popover> | ||
| ) | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,56 @@ | ||
| import { openai } from '@/lib/openai' | ||
| import { prisma } from '@/lib/prisma' | ||
| import { OpenAIStream, StreamingTextResponse } from 'ai' | ||
| import { NextResponse } from 'next/server' | ||
|
|
||
| export async function POST(request: Request) { | ||
| const { prompt } = await request.json() | ||
|
|
||
| const [transcription] = await prisma.$queryRaw<[{ text: string }]>/* sql */ ` | ||
| SELECT | ||
| STRING_AGG("public"."TranscriptionSegment"."text", '') as "text" | ||
| FROM "public"."TranscriptionSegment" | ||
| JOIN "public"."Transcription" ON "public"."Transcription"."id" = "public"."TranscriptionSegment"."transcriptionId" | ||
| WHERE "public"."Transcription"."videoId" = ${prompt} | ||
| ` | ||
|
|
||
| if (!transcription.text) { | ||
| return NextResponse.json( | ||
| { message: 'Transcription not found.' }, | ||
| { | ||
| status: 400, | ||
| }, | ||
| ) | ||
| } | ||
|
|
||
| const response = await openai.createChatCompletion({ | ||
| model: 'gpt-3.5-turbo', | ||
| stream: true, | ||
| messages: [ | ||
| { | ||
| role: 'system', | ||
| content: | ||
| 'Se comporte como um especialista em programação que cria resumos a partir da transcrição de uma aula.', | ||
| }, | ||
| { | ||
| role: 'system', | ||
| content: | ||
| 'Responda em primeira pessoa como se você fosse o instrutor da aula. Utilize uma linguagem menos formal.', | ||
| }, | ||
| { | ||
| role: 'system', | ||
| content: | ||
| 'Seja sucinto e retorne no máximo 80 palavras em markdown sem cabeçalhos.', | ||
| }, | ||
| { | ||
| role: 'user', | ||
| content: `Gere um resumo da transcrição abaixo: \n\n ${transcription.text}`, | ||
| }, | ||
| ], | ||
| temperature: 0, | ||
| }) | ||
|
|
||
| const stream = OpenAIStream(response) | ||
|
|
||
| return new StreamingTextResponse(stream) | ||
| } |
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