Live Deployment

This is a Next.js project bootstrapped with create-next-app and styled with Chakra UI. Stripe is used for subscriptions and OpenAI's Whisper to perform speech to text with audio files. All text, except audio file transcription, is streamed to provide a smoother user experience.

Live Deployment

https://www.lirical.xyz/

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 with your browser to see the result.

Code Examples

lirical/pages/index.js

Lines 1 to 197 in 052238c

	import Head from "next/head"
	import { useState } from "react"
	import {
	Button,
	Heading,
	Flex,
	Text,
	Accordion,
	AccordionItem,
	AccordionButton,
	AccordionPanel,
	AccordionIcon,
	Box,
	Link,
	HStack,
	Divider,
	} from "@chakra-ui/react"
	import NextLink from "next/link"
	import { Step, Steps, useSteps } from "chakra-ui-steps"
	import { steps } from "@/data/steps"

	export default function Home() {
	const [input, setInput] = useState("")
	const [output, setOutput] = useState("")
	const { nextStep, prevStep, setStep, reset, activeStep } = useSteps({
	initialStep: 0,
	})
	const [submitted, setSubmitted] = useState(false)

	const changeInputType = (val) => {
	setInput(val)
	}

	const outputHandler = (output) => {
	setOutput((prev) => prev + output)
	}

	const toggleSumbitted = () => {
	setSubmitted(true)
	}

	const restart = () => {
	setSubmitted(!submitted)
	}

	return (
	<>
	<Head>
	<title>Lirical App</title>
	<meta name='viewport' content='width=device-width, initial-scale=1' />
	<link rel='icon' href='/favicon.ico' />
	</Head>
	<Flex h='100vh' justifyContent='center' alignItems='flex-start'>
	<Flex alignItems='center' flexDir='column' textAlign='center' pb={5}>
	<HStack alignContent='center' mt={10}>
	<Link fontSize={20} as={NextLink} color='brand.900' href='/'>
	Home
	</Link>
	<Divider orientation='vertical' borderColor='brand.900' h={8} />
	<Link
	fontSize={20}
	as={NextLink}
	color='brand.900'
	href='/subscribe'
	>
	Subscribe
	</Link>
	<Divider orientation='vertical' borderColor='brand.900' h={8} />
	<Link fontSize={20} as={NextLink} color='brand.900' href='/account'>
	Account
	</Link>
	</HStack>
	<Steps mt={[0, 0, 20]} w='sm' p={5} activeStep={activeStep}>
	{steps.map(({ label }, indx) => (
	<Step key={indx}>
	{(indx === 0 && steps[0].content(changeInputType)) \|\|
	(indx === 1 &&
	steps[1].content(input, outputHandler, toggleSumbitted)) \|\|
	(indx === 2 && steps[2].content(output))}
	</Step>
	))}
	</Steps>
	{activeStep === steps.length ? (
	<Flex direction='column' gap={5} p={4}>
	<Text fontWeight='bold' color='brand.800'>
	Would you like to start all over?
	</Text>
	<Button
	bg='brand.900'
	mx='auto'
	size='md'
	onClick={() => {
	reset()
	restart()
	}}
	_hover={{ background: "#f1ecaf" }}
	>
	Reset
	</Button>
	</Flex>
	) : (
	<Flex width='100%' justify='flex-end' pr={5}>
	<Button
	isDisabled={activeStep === 0}
	mr={4}
	onClick={prevStep}
	size='sm'
	variant='ghost'
	_disabled={{
	cursor: "not-allowed",
	opacity: 0.2,
	}}
	_hover={
	activeStep !== 0 && {
	background: "brand.900",
	color: "black",
	}
	}
	color='brand.800'
	>
	Prev
	</Button>
	<Button
	size='sm'
	bg='brand.900'
	onClick={nextStep}
	_hover={{ background: "brand.800" }}
	isDisabled={!input \|\| (activeStep === 1 && !submitted)}
	>
	{activeStep === steps.length - 1 ? "Finish" : "Next"}
	</Button>
	</Flex>
	)}
	<Heading
	mt={5}
	w={["80%", "sm"]}
	justifySelf='left'
	color='brand.900'
	size='lg'
	>
	Disclaimer
	</Heading>
	<Accordion
	allowToggle
	textAlign='left'
	w={["80%", "xs"]}
	color='brand.800'
	>
	<AccordionItem>
	<h2>
	<AccordionButton>
	<Box as='span' flex='1' textAlign='left'>
	Why is it saying my lyrics are inappropriate or offensive?
	</Box>
	<AccordionIcon />
	</AccordionButton>
	</h2>
	<AccordionPanel pb={4}>
	Besides the reason it gives you, it's because Open AI has
	policies that prevent discrimination, harassment, and hate
	speech. You may have to try again with different lyrics.
	</AccordionPanel>
	</AccordionItem>

	<AccordionItem>
	<h2>
	<AccordionButton>
	<Box as='span' flex='1' textAlign='left'>
	How do I restart from the beginning?
	</Box>
	<AccordionIcon />
	</AccordionButton>
	</h2>
	<AccordionPanel pb={4}>
	Go to step 3, hit Finish and then hit Reset.
	</AccordionPanel>
	</AccordionItem>
	<AccordionItem>
	<h2>
	<AccordionButton>
	<Box as='span' flex='1' textAlign='left'>
	There is an issue with my account.
	</Box>
	<AccordionIcon />
	</AccordionButton>
	</h2>
	<AccordionPanel pb={4}>
	Please email me at [email protected] with any account
	issues.
	</AccordionPanel>
	</AccordionItem>
	</Accordion>
	</Flex>
	</Flex>
	</>
	)
	}

lirical/pages/api/whisper.js

Lines 1 to 68 in 052238c

    
           const dotenv = require("dotenv").config() 
        
           const fs = require("fs") 
        
           const FormData = require("form-data") 
        
           const formidable = require("formidable") 
        
           import fetch from "node-fetch" 
        
           // import { clearTimeout } from "timers" 
        
           export const config = { 
        
           	api: { 
        
           		bodyParser: false, 
        
           	}, 
        
           } 
        
           const key = process.env.OPEN_AI_KEY 
        
           const model = "whisper-1" 
        
           export default async function handler(req, res) { 
        
           	if (req.method !== "POST") { 
        
           		res.status(405).send({ message: "Only POST requests allowed" }) 
        
           		return 
        
           	} 
        
           	const form = new formidable.IncomingForm({ 
        
           		keepExtensions: true, 
        
           	}) 
        
           	form.parse(req, async (err, fields, files) => { 
        
           		if (err) return res.status(400).send({ error: "Parse error: " + err }) 
        
           		const formData = new FormData() 
        
           		formData.append( 
        
           			"file", 
        
           			fs.createReadStream(files.file.filepath), 
        
           			files.file.originalFilename 
        
           		) 
        
           		formData.append("model", model) 
        
           		const id = setTimeout( 
        
           			() => 
        
           				res.status(400).send({ 
        
           					error: 
        
           						"Whisper is currently experience slowdowns. Please try again later.", 
        
           				}), 
        
           			9900 
        
           		) 
        
           		const response = await fetch( 
        
           			"https://api.openai.com/v1/audio/transcriptions", 
        
           			{ 
        
           				method: "POST", 
        
           				headers: { 
        
           					...formData.getHeaders(), 
        
           					Authorization: `Bearer ${key}`, 
        
           				}, 
        
           				body: formData, 
        
           			} 
        
           		) 
        
           		clearTimeout(id) 
        
           		const { text, error } = await response.json() 
        
           		if (response.ok) { 
        
           			res.status(200).send({ text: text }) 
        
           		} else { 
        
           			console.log("OPEN AI ERROR:") 
        
           			console.log(error.message) 
        
           			res.status(400).send({ error: "OPEN AI ERROR: " + error.message }) 
        
           		} 
        
           	}) 
        
           	// res.status(200).json({ text: "end req" }) 
        
           }

lirical/pages/api/lyrics.js

Lines 1 to 34 in 2541ee1

    
           // import { Configuration, OpenAIApi } from "openai" 
        
           import { OpenAIStream } from "../../helpers/OpenAIStream" 
        
           export const config = { 
        
           	runtime: "edge", 
        
           } 
        
           export default async function handler(req, res) { 
        
           	if (req.method !== "POST") { 
        
           		res.status(405).send({ message: "Only POST requests allowed" }) 
        
           		return 
        
           	} 
        
           	const { text } = await req.json() 
        
           	try { 
        
           		const payload = { 
        
           			model: "gpt-3.5-turbo", 
        
           			messages: [ 
        
           				{ 
        
           					role: "user", 
        
           					content: "Suggest lyrics specifically after " + text + "", 
        
           				}, 
        
           			], 
        
           			temperature: 0.7, 
        
           			stream: true, 
        
           		} 
        
           		// clearTimeout(id) 
        
           		const stream = await OpenAIStream(payload) 
        
           		return new Response(stream) 
        
           		// res.status(200).send({ text: completion.data.choices[0].message.content }) 
        
           	} catch (err) { 
        
           		res.status(400).send({ error: err }) 
        
           	} 
        
           }

Name		Name	Last commit message	Last commit date
Latest commit History 142 Commits
comps		comps
data		data
firebase		firebase
helpers		helpers
pages		pages
public		public
styles		styles
.eslintrc.json		.eslintrc.json
.gitignore		.gitignore
README.md		README.md
jsconfig.json		jsconfig.json
next.config.js		next.config.js
package-lock.json		package-lock.json
package.json		package.json

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Repository files navigation

Live Deployment

Getting Started

Code Examples

About

Releases

Packages

Languages

	const dotenv = require("dotenv").config()
	const fs = require("fs")
	const FormData = require("form-data")
	const formidable = require("formidable")
	import fetch from "node-fetch"
	// import { clearTimeout } from "timers"

	export const config = {
	api: {
	bodyParser: false,
	},
	}

	const key = process.env.OPEN_AI_KEY
	const model = "whisper-1"

	export default async function handler(req, res) {
	if (req.method !== "POST") {
	res.status(405).send({ message: "Only POST requests allowed" })
	return
	}

	const form = new formidable.IncomingForm({
	keepExtensions: true,
	})

	form.parse(req, async (err, fields, files) => {
	if (err) return res.status(400).send({ error: "Parse error: " + err })
	const formData = new FormData()
	formData.append(
	"file",
	fs.createReadStream(files.file.filepath),
	files.file.originalFilename
	)
	formData.append("model", model)

	const id = setTimeout(
	() =>
	res.status(400).send({
	error:
	"Whisper is currently experience slowdowns. Please try again later.",
	}),
	9900
	)
	const response = await fetch(
	"https://api.openai.com/v1/audio/transcriptions",
	{
	method: "POST",
	headers: {
	...formData.getHeaders(),
	Authorization: `Bearer ${key}`,
	},
	body: formData,
	}
	)
	clearTimeout(id)
	const { text, error } = await response.json()
	if (response.ok) {
	res.status(200).send({ text: text })
	} else {
	console.log("OPEN AI ERROR:")
	console.log(error.message)
	res.status(400).send({ error: "OPEN AI ERROR: " + error.message })
	}
	})

	// res.status(200).json({ text: "end req" })
	}

	// import { Configuration, OpenAIApi } from "openai"
	import { OpenAIStream } from "../../helpers/OpenAIStream"

	export const config = {
	runtime: "edge",
	}

	export default async function handler(req, res) {
	if (req.method !== "POST") {
	res.status(405).send({ message: "Only POST requests allowed" })
	return
	}

	const { text } = await req.json()
	try {
	const payload = {
	model: "gpt-3.5-turbo",
	messages: [
	{
	role: "user",
	content: "Suggest lyrics specifically after " + text + "",
	},
	],
	temperature: 0.7,
	stream: true,
	}
	// clearTimeout(id)
	const stream = await OpenAIStream(payload)
	return new Response(stream)
	// res.status(200).send({ text: completion.data.choices[0].message.content })
	} catch (err) {
	res.status(400).send({ error: err })
	}
	}

BustosAndrew/lirical

Folders and files

Latest commit

History

Repository files navigation

Live Deployment

Getting Started

Code Examples

About

Resources

Stars

Watchers

Forks

Releases

Packages 0

Languages

Packages