Advanced AI Assistant
Create a powerful AI assistant with multiple models (GPT-4, Claude 3, LLaMA), generative UI, smart browsing, and multimodal capabilities. Features include real-time web search, document analysis, and image processing.
A web application that allows users to upload and apply a 3D LUT (Look-Up Table) for color grading, featuring a customizable LUT configuration and preview mechanism.
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TITLE "SunsetWarmLUT" LUT_3D_SIZE 17 # Metadata DOMAIN_MIN 0.0 0.0 0.0 DOMAIN_MAX 1.0 1.0 1.0 # LUT data (17x17x17 grid) 0.000000 0.000000 0.050000 0.058824 0.019608 0.098039 0.117647 0.039216 0.147059 0.176471 0.058824 0.196078 0.235294 0.078431 0.245098 0.294118 0.098039 0.294118 0.352941 0.117647 0.343137 0.411765 0.137255 0.392157 0.470588 0.156863 0.441176 0.529412 0.176471 0.490196 0.588235 0.196078 0.539216 0.647059 0.215686 0.588235 0.705882 0.235294 0.637255 0.764706 0.254902 0.686275 0.823529 0.274510 0.735294 0.882353 0.294118 0.784314 0.941176 0.313725 0.833333 1.000000 0.333333 0.882353
OpenAI API
To run the app in the sandbox, please add your OpenAI API key to the .env
file.
SunsetWarmLUT
image
A web application that allows users to upload and apply a 3D LUT (Look-Up Table) for color grading, featuring a customizable LUT configuration and preview mechanism.
Implement an API route in route.ts that receives the LUT input, parses the LUT data, and applies any necessary transformations. Ensure proper error handling and data sanitization. Return a response indicating the success status and any related messages.
Create a React component that allows users to upload a LUT configuration. Use useState to manage form data and loading states. Display a preview of the uploaded LUT using a combination of Tailwind CSS for styling. Handle API requests to '/api' for processing the LUT.
import { NextResponse } from "next/server";
import OpenAI from "openai";
// Define the structure of the incoming request for image generation
interface ImageGenerationRequest {
prompt: string; // Description for the image generation
n?: number; // Number of images to generate
size?: string; // Size of the generated images
}
// Create an instance of OpenAI with the API key from environment variables
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY,
});
// Function to generate an image using the OpenAI API
async function generateImage(data: ImageGenerationRequest): Promise<string> {
console.log("Generating image with data:", JSON.stringify(data));
try {
const response = await openai.images.generate({
model: "dall-e-3", // Specify DALL-E 3 model
prompt: data.prompt,
n: data.n || 1, // Default to generating 1 image if not specified
size: data.size || "1024x1024", // Default size if not specified
});
console.log("OpenAI API response:", JSON.stringify(response));
// Check if we received a valid image URL in the response
if (response.data && response.data[0] && response.data[0].url) {
console.log("Generated image URL:", response.data[0].url);
return response.data[0].url; // Return the image URL
}
throw new Error("No image URL in the response"); // Throw error if no URL found
} catch (error) {
console.error("Error in generateImage:", error);
throw error; // Propagate the error for further handling
}
}
// Main POST function to handle incoming image generation requests
export async function POST(req: Request) {
console.log("Received POST request");
try {
// Parse the incoming JSON request
const data: ImageGenerationRequest = await req.json();
console.log("Parsed request data:", JSON.stringify(data));
// Call OpenAI API to generate the image using parsed data
const imageUrl = await generateImage(data);
console.log("Image generated successfully");
// Return the response with the generated image URL
return NextResponse.json({ imageUrl }, { status: 200 });
} catch (error) {
console.error("Error in POST handler:", error);
// Handle any unexpected errors and return appropriate response
return NextResponse.json(
{
error: "Failed to generate image.",
details: error instanceof Error ? error.message : String(error),
},
{ status: 500 } // Internal server error status code
);
}
}
We've bundled everything you need together into an all-in-one Next.js AI starter kit so you can focus on building an awesome product, not on setting up infrastructure.
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GPT-4, Claude 3, LLaMA 3
Whisper, ElevenLabs
GPT-4 Vision
DALL·E, SDXL
GPT-4, Claude 3, LLaMA 3
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Once you get access to the codebase, it's yours and you can use it to launch as many products as you want.
Core $229 Pay once, launch unlimited products. OpenAI only version. | Most popular Premium $249 Includes all demo apps, open source models & access to updates and new apps. | ||
---|---|---|---|
Start building now | Start building now | ||
Included applications | |||
Advanced AI ChatGPT-4o, Claude 3.5 Sonnet, LLaMA 3, xAI | |||
Text generationGPT-4o-mini | |||
Image generationDALL-E 3 | |||
Image analysisGPT-4o/vision | |||
Chat with PDFGPT-4o | |||
Text generationLLaMA 3 | |||
Text generationClaude 3.5 Sonnet | |||
Image generationSDXL | |||
Audio transcriptionWhisper & LLaMA 3 | |||
Text to speechElevenlabs | |||
Features | |||
Next.js 14Typescript & /app router | |||
SupabaseAuth, db, vector embeddings | |||
PaymentsLemonSqueezy & Stripe | |||
Landing pages5 landing pages | |||
UI Components15+ UI components | |||
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