Full Code of dabit3/openai-functions-god-app for AI

Repository: dabit3/openai-functions-god-app
Branch: main
Commit: d99e8422553d
Files: 14
Total size: 10.6 KB

Directory structure:
gitextract_9_o6u2mw/

├── .eslintrc.json
├── .example.env.local
├── .gitignore
├── README.md
├── api.ts
├── app/
│   ├── api/
│   │   └── gpt/
│   │       └── route.ts
│   ├── globals.css
│   ├── layout.tsx
│   └── page.tsx
├── next.config.js
├── package.json
├── postcss.config.js
├── tailwind.config.js
└── tsconfig.json

================================================
FILE CONTENTS
================================================

================================================
FILE: .eslintrc.json
================================================
{
  "extends": "next/core-web-vitals"
}


================================================
FILE: .example.env.local
================================================
OPENAI_API_KEY=
REPLICATE_TOKEN=

================================================
FILE: .gitignore
================================================
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.js

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*

# local env files
.env*.local

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts


================================================
FILE: README.md
================================================
## God app

This is an experimental project using OpenAI GPT Plugins and Replicate to combine all AI APis into one.

Instead of using separate interfaces for image generation, video generation, audio generation, and general text natural language processing, this app combines all of them together into a single prompt.

APIs currently supported:
- Text to image
- Text to video
- Text to audio
- General natural language processing

Examples of what you might ask:

- Create a 4 day travel itinerary for Mexico City.
- Create an image of someone in their production studio creating beats, futuristic, dim lighting, bronx new york
- Create a track that sounds like it might come from kanye west, hip-hop, soul samples, heavy drums, innovative melodies, experimental sounds, unusual effects, automation, modulating filters, distortion effects
- Create a video of clown fish swimming in a coral reef, beautiful, 8k, perfect, award winning, national geographic

## Prerequisites

To run this app, you must have the following:

1. OpenAI API Key
2. Replicate token

## Running the app

To run this app, follow these steps:

1. Clone the repo

```sh
git clone git@github.com:dabit3/openai-functions-god-app.git
```

2. Change into the directory and install the dependencies:

```sh
cd openai-functions-god-app
npm install
```

3. Set environment variables in a file named `.env.local` (you can copy `.example.env.local`)

```
OPENAI_API_KEY=
REPLICATE_TOKEN=
```

4. Run the app

```sh
npm start
```

================================================
FILE: api.ts
================================================


================================================
FILE: app/api/gpt/route.ts
================================================
import { NextRequest, NextResponse } from 'next/server'
import Replicate from 'replicate'

const replicate = new Replicate({
  auth: process.env.REPLICATE_TOKEN || ''
})

const KEY = process.env.OPENAI_API_KEY
const base_uri = 'https://api.openai.com/v1/chat/completions'

const headers = {
  'Content-Type': 'application/json',
  'Authorization': `Bearer ${KEY}`
}

const data = {
  'model': 'gpt-4'
}

export async function POST(req: NextRequest, res: NextResponse) {
  try {
    const { query } = await req.json()

    const requestData = {
      ...data,
      'messages': [
        {'role': 'user', 'content': query }
      ],
      functions: [
        {
          name: 'createVideo',
          description: 'generate a video using replicate, an AI LLM',
          parameters: {
            type: 'object',
            properties: {
              prompt: {
                type: 'string',
                description: 'the main prompt that should be passed in to the LLM'
              },
              guidance_scale: {
                type: 'integer',
                description: 'This is the requested guidance scale for the video in a numeric value. Default to 17.5 if none is defined in the prompt.'
              },
              num_frames: {
                type: 'integer',
                description: 'The number of frames if defined in the prompt'
              },
              height: {
                type: 'integer',
                description: 'The height of the video if defined in the prompt. Not affected by resolution.'
              },
              width: {
                type: 'integer',
                description: 'The width of the video if defined in the prompt. Not affected by resolution.'
              }
            },
            'required': ['prompt', 'guidance_scale'],
          }
        },
        {
          name: 'createMusic',
          description: 'generate music using replicate',
          parameters: {
            type: 'object',
            properties: {
              prompt: {
                type: 'string',
                description: 'the exact prompt passed in'
              }
            }
          }
        },
        {
          name: 'createImage',
          description: 'generates an image using replicate',
          parameters: {
            type: 'object',
            properties: {
              prompt: {
                type: 'string',
                description: 'the exact prompt passed in'
              }
            }
          }
        }
      ],
      function_call: 'auto'
    }

    const response = await fetch(base_uri, {
      method: 'POST',
      headers,
      body: JSON.stringify(requestData)
    })

    const json = await response.json()
    let choice = json.choices[0]
    
    const { function_call } = choice.message
    console.log('function_call: ', function_call)
    if (function_call) {
      const args = JSON.parse(function_call.arguments)
      if (function_call.name === 'createVideo') {
        const output = await replicate.run(
          'anotherjesse/zeroscope-v2-xl:71996d331e8ede8ef7bd76eba9fae076d31792e4ddf4ad057779b443d6aea62f',
          {
            input: {
              ...args,
            }
          }
        );
        return NextResponse.json({
          data: output,
          type: 'video'
        });
      }
      if (function_call.name === 'createMusic') {
        const output = await replicate.run(
          'joehoover/musicgen:7a76a8258b23fae65c5a22debb8841d1d7e816b75c2f24218cd2bd8573787906',
          {
            input: {
              model_version: 'melody',
              ...args
            }
          }
        )
        return NextResponse.json({
          data: output,
          type: 'audio'
        });
      }
      if (function_call.name === 'createImage') {
        const output = await replicate.run(
          'ai-forever/kandinsky-2:601eea49d49003e6ea75a11527209c4f510a93e2112c969d548fbb45b9c4f19f',
          {
            input: {
              ...args
            }
          }
        )
        return NextResponse.json({
          data: output,
          type: 'image'
        });
      }
    }

    else {
      console.log('choice: ', choice)
      return NextResponse.json({
        data: choice.message.content,
        type: 'text',
      });
    }
  } catch (err) {
    console.log('error: ', err)
    return NextResponse.json({ error: err });
  }
}

================================================
FILE: app/globals.css
================================================
@tailwind base;
@tailwind components;
@tailwind utilities;

:root {
  --foreground-rgb: 0, 0, 0;
  --background-start-rgb: 214, 219, 220;
  --background-end-rgb: 255, 255, 255;
}

@media (prefers-color-scheme: dark) {
  :root {
    --foreground-rgb: 255, 255, 255;
    --background-start-rgb: 0, 0, 0;
    --background-end-rgb: 0, 0, 0;
  }
}

body {
  color: rgb(var(--foreground-rgb));
  background: linear-gradient(
      to bottom,
      transparent,
      rgb(var(--background-end-rgb))
    )
    rgb(var(--background-start-rgb));
}


================================================
FILE: app/layout.tsx
================================================
import './globals.css'
import { Inter } from 'next/font/google'

const inter = Inter({ subsets: ['latin'] })

export const metadata = {
  title: 'Create Next App',
  description: 'Generated by create next app',
}

export default function RootLayout({
  children,
}: {
  children: React.ReactNode
}) {
  return (
    <html lang="en">
      <body className={inter.className}>{children}</body>
    </html>
  )
}


================================================
FILE: app/page.tsx
================================================
'use client'
import { useState } from 'react'

export default function Home() {
  const [input, setInput] = useState('')
  const [image, setImage] = useState('')
  const [audio, setAudio] = useState('')
  const [video, setVideo] = useState('')
  const [text, setText] = useState('')
  async function callApi() {
    try {
      if (!input) return
      setImage('')
      setAudio('')
      setVideo('')
      setText('')
      const response = await fetch('/api/gpt', {
        method: "POST",
        body: JSON.stringify({
          query: input
        })
      })
      const { data, type } = await response.json()
      console.log('data:', data)
      if (type === 'image') {
        setImage(data[0])
      }
      if (type === 'video') {
        setVideo(data[0])
      }
      if (type === 'audio') {
        setAudio(data)
      }
      if (type == 'text') {
        setText(data)
      }
    } catch (err) {
      console.log('error;', err)
    }
  }

  return (
    <main className="flex flex-col items-center justify-between p-24">
      <input
        className="text-black px-3 py-1 rounded"
        onChange={e => setInput(e.target.value)}
      />
      <button
        onClick={callApi}
        className="rounded-full bg-green-500 text-white py-3 px-14 mt-3 mb-4 cursor-pointer"
      >IMAGINE</button>
      {
        image && <img src={image} width="500px" />
      }
      {
        video && <video src={video} controls></video>
      }
      {
        text && <p>{text}</p>
      }
      {
        audio && (
          <audio controls>
            <source src={audio} type="audio/wav"></source>
          </audio>
        )
      }
    </main>
  )
}


================================================
FILE: next.config.js
================================================
/** @type {import('next').NextConfig} */
const nextConfig = {}

module.exports = nextConfig


================================================
FILE: package.json
================================================
{
  "name": "gpt-functions",
  "version": "0.1.0",
  "private": true,
  "scripts": {
    "dev": "next dev",
    "build": "next build",
    "start": "next start",
    "lint": "next lint"
  },
  "dependencies": {
    "@types/node": "20.3.2",
    "@types/react": "18.2.14",
    "@types/react-dom": "18.2.6",
    "autoprefixer": "10.4.14",
    "eslint": "8.43.0",
    "eslint-config-next": "13.4.7",
    "next": "13.4.7",
    "postcss": "8.4.24",
    "react": "18.2.0",
    "react-dom": "18.2.0",
    "replicate": "^0.12.3",
    "tailwindcss": "3.3.2",
    "typescript": "5.1.6"
  }
}


================================================
FILE: postcss.config.js
================================================
module.exports = {
  plugins: {
    tailwindcss: {},
    autoprefixer: {},
  },
}


================================================
FILE: tailwind.config.js
================================================
/** @type {import('tailwindcss').Config} */
module.exports = {
  content: [
    './pages/**/*.{js,ts,jsx,tsx,mdx}',
    './components/**/*.{js,ts,jsx,tsx,mdx}',
    './app/**/*.{js,ts,jsx,tsx,mdx}',
  ],
  theme: {
    extend: {
      backgroundImage: {
        'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))',
        'gradient-conic':
          'conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))',
      },
    },
  },
  plugins: [],
}


================================================
FILE: tsconfig.json
================================================
{
  "compilerOptions": {
    "target": "es5",
    "lib": ["dom", "dom.iterable", "esnext"],
    "allowJs": true,
    "skipLibCheck": true,
    "strict": true,
    "forceConsistentCasingInFileNames": true,
    "noEmit": true,
    "esModuleInterop": true,
    "module": "esnext",
    "moduleResolution": "node",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "jsx": "preserve",
    "incremental": true,
    "noImplicitAny": false,
    "plugins": [
      {
        "name": "next"
      }
    ],
    "paths": {
      "@/*": ["./*"]
    }
  },
  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
  "exclude": ["node_modules"]
}