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master
ghoshalayan 5 days ago
parent
commit
dc3992a542
24 changed files with 6846 additions and 0 deletions
  1. +41
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      .gitignore
  2. BIN
      app/favicon.ico
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      app/globals.css
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      app/layout.tsx
  5. +5
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      app/page.tsx
  6. +39
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      components/MainForm.css
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      components/MainForm.tsx
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      components/register/Register.css
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      components/register/Register.tsx
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      components/search/Search.css
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      components/search/Search.tsx
  12. +16
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      eslint.config.mjs
  13. +1
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      face_recognition_model_web
  14. +7
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      next.config.ts
  15. +5906
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      package-lock.json
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      package.json
  17. +8
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      postcss.config.mjs
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      public/file.svg
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      public/globe.svg
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      public/next.svg
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      public/vercel.svg
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      public/window.svg
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      tailwind.config.ts
  24. +27
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      tsconfig.json

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.gitignore View File

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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions
# testing
/coverage
# next.js
/.next/
/out/
# production
/build
# misc
.DS_Store
*.pem
# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*
# env files (can opt-in for committing if needed)
.env*
# vercel
.vercel
# typescript
*.tsbuildinfo
next-env.d.ts

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app/favicon.ico View File

Before After

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app/globals.css View File

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@tailwind base;
@tailwind components;
@tailwind utilities;

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app/layout.tsx View File

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import type { Metadata } from "next";
import { Geist, Geist_Mono } from "next/font/google";
import "./globals.css";
const geistSans = Geist({
variable: "--font-geist-sans",
subsets: ["latin"],
});
const geistMono = Geist_Mono({
variable: "--font-geist-mono",
subsets: ["latin"],
});
export const metadata: Metadata = {
title: "Create Next App",
description: "Generated by create next app",
};
export default function RootLayout({
children,
}: Readonly<{
children: React.ReactNode;
}>) {
return (
<html lang="en">
<body
className={`${geistSans.variable} ${geistMono.variable} antialiased`}
>
{children}
</body>
</html>
);
}

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app/page.tsx View File

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import MainForm from "@/components/MainForm";
export default function Home() {
return <MainForm />;
}

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components/MainForm.css View File

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.main-container {
font-family: Arial, sans-serif;
max-width: 800px;
margin: 0 auto;
padding: 20px;
}
.tabs {
display: flex;
border-bottom: 2px solid #007bff;
margin-bottom: 20px;
}
.tab-button {
flex: 1;
padding: 12px 20px;
font-size: 16px;
color: #007bff;
background-color: transparent;
border: none;
cursor: pointer;
transition: background-color 0.3s, color 0.3s;
}
.tab-button:hover {
background-color: #f0f0f0;
}
.tab-button.active {
color: #fff;
background-color: #007bff;
}
.tab-content {
padding: 20px;
border: 1px solid #ddd;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}

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components/MainForm.tsx View File

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"use client";
import React, { useState } from "react";
import Register from "./register/Register";
import Search from "./search/Search";
import "./MainForm.css"; // Import CSS for styling
const MainForm: React.FC = () => {
const [activeTab, setActiveTab] = useState<"register" | "search">("register");
return (
<div className="main-container">
<div className="tabs">
<button
className={`tab-button ${activeTab === "register" ? "active" : ""}`}
onClick={() => setActiveTab("register")}
>
Register
</button>
<button
className={`tab-button ${activeTab === "search" ? "active" : ""}`}
onClick={() => setActiveTab("search")}
>
Search
</button>
</div>
<div className="tab-content">
{activeTab === "register" && <Register />}
{activeTab === "search" && <Search />}
</div>
</div>
);
};
export default MainForm;

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components/register/Register.css View File

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.container {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 20px;
font-family: Arial, sans-serif;
}
.title {
font-size: 24px;
margin-bottom: 20px;
}
.form {
width: 100%;
max-width: 500px;
}
.form-group {
margin-bottom: 20px;
}
.label {
display: block;
font-size: 16px;
margin-bottom: 8px;
}
.input {
width: 100%;
padding: 10px;
font-size: 16px;
border: 1px solid #ccc;
border-radius: 4px;
}
.video-container {
margin-bottom: 20px;
}
.video {
transform: scaleX(-1);
width: 100%;
max-width: 500px;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.capture-button {
width: 100%;
padding: 12px;
font-size: 16px;
color: #fff;
background-color: #007bff;
border: none;
border-radius: 4px;
cursor: pointer;
margin-top: 4px;
}
.capture-button:hover {
background-color: #0056b3;
}
.image-preview {
margin-top: 20px;
text-align: center;
}
.captured-image {
max-width: 100%;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.error-message {
color: red;
font-size: 14px;
margin-top: 5px;
}

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components/register/Register.tsx View File

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// "use client";
// import React, { useRef, useState, useEffect } from "react";
// import "./Register.css"; // Import CSS for styling
// const Register: React.FC = () => {
// const videoRef = useRef<HTMLVideoElement>(null);
// const canvasRef = useRef<HTMLCanvasElement>(null);
// const [name, setName] = useState<string>("");
// const [error, setError] = useState<string>(""); // State for error message
// // Automatically open the camera when the component mounts
// useEffect(() => {
// const openCamera = async () => {
// try {
// const stream = await navigator.mediaDevices.getUserMedia({
// video: true,
// });
// if (videoRef.current) {
// videoRef.current.srcObject = stream;
// }
// } catch (err) {
// console.error("Error accessing the camera", err);
// }
// };
// openCamera();
// }, []);
// // Capture image from video stream
// const captureImage = () => {
// if (!name.trim()) {
// setError("Name is required"); // Set error message if name is empty
// return;
// }
// const video = videoRef.current;
// const canvas = canvasRef.current;
// if (video && canvas) {
// const context = canvas.getContext("2d");
// if (context) {
// // Draw the current frame from the video on the canvas
// context.drawImage(video, 0, 0, canvas.width, canvas.height);
// canvas.toBlob((blob) => {
// if (blob) {
// const file = new File([blob], "captured-image.png", {
// type: "image/png",
// });
// callApi(name, file);
// }
// }, "image/png");
// }
// }
// };
// // Call API with name and image file
// const callApi = async (name: string, file: File) => {
// const formData = new FormData();
// formData.append("name", name);
// formData.append("image", file);
// try {
// const startTime = performance.now();
// const response = await fetch(
// `${process.env.NEXT_PUBLIC_BASE_URL}/register`,
// {
// method: "POST",
// body: formData,
// }
// );
// // End measuring time
// const endTime = performance.now();
// const totalTime = (endTime - startTime) / 1000; // Convert milliseconds to seconds
// if (response.ok) {
// const data = await response.json();
// console.log("API call successful");
// alert(
// `Message: ${data.message}\nName: ${
// data?.name
// }\nTime taken: ${totalTime.toFixed(2)} seconds`
// ); // Show success message with time taken
// setError(""); // Clear error message on success
// } else {
// console.error("API call failed");
// setError("Failed to register. Please try again."); // Set error message on failure
// }
// } catch (error) {
// console.error("Error calling API", error);
// setError("An error occurred. Please try again."); // Set error message on exception
// }
// };
// return (
// <div className="container">
// <h1 className="title">Face Capture Form</h1>
// <form className="form">
// <div className="form-group">
// <label htmlFor="name" className="label">
// Name:
// </label>
// <input
// id="name"
// type="text"
// value={name}
// onChange={(e) => {
// setName(e.target.value);
// setError(""); // Clear error message when user starts typing
// }}
// className="input"
// placeholder="Enter your name"
// required
// />
// {error && !name.trim() && (
// <p className="error-message">{error}</p> // Display error message if name is empty
// )}
// </div>
// <div className="video-container">
// <video ref={videoRef} autoPlay playsInline className="video" />
// </div>
// <button type="button" onClick={captureImage} className="capture-button">
// Capture Image
// </button>
// <canvas
// ref={canvasRef}
// style={{ display: "none" }}
// width="640"
// height="480"
// />
// </form>
// </div>
// );
// };
// export default Register;
"use client";
import React, { useRef, useState, useEffect } from "react";
import "./Register.css"; // Import CSS for styling
const Register: React.FC = () => {
const videoRef = useRef<HTMLVideoElement>(null);
const canvasRef = useRef<HTMLCanvasElement>(null);
const [name, setName] = useState<string>("");
const [error, setError] = useState<string>(""); // State for error message
const [selectedFile, setSelectedFile] = useState<File | null>(null); // State for uploaded image
// Automatically open the camera when the component mounts
useEffect(() => {
const openCamera = async () => {
try {
const stream = await navigator.mediaDevices.getUserMedia({
video: true,
});
if (videoRef.current) {
videoRef.current.srcObject = stream;
}
} catch (err) {
console.error("Error accessing the camera", err);
}
};
openCamera();
}, []);
// Capture image from video stream
const captureImage = () => {
if (!name.trim()) {
setError("Name is required"); // Set error message if name is empty
return;
}
const video = videoRef.current;
const canvas = canvasRef.current;
if (video && canvas) {
const context = canvas.getContext("2d");
if (context) {
// Draw the current frame from the video on the canvas
context.drawImage(video, 0, 0, canvas.width, canvas.height);
canvas.toBlob((blob) => {
if (blob) {
const file = new File([blob], "captured-image.png", {
type: "image/png",
});
callApi(name, file);
}
}, "image/png");
}
}
};
// Handle file upload
const handleFileUpload = (event: React.ChangeEvent<HTMLInputElement>) => {
const file = event.target.files?.[0] || null;
setSelectedFile(file);
};
// Submit uploaded file
const submitUploadedFile = () => {
if (!name.trim()) {
setError("Name is required");
return;
}
if (!selectedFile) {
setError("Please upload an image file.");
return;
}
callApi(name, selectedFile);
};
// Call API with name and image file
const callApi = async (name: string, file: File) => {
const formData = new FormData();
formData.append("name", name);
formData.append("image", file);
try {
const startTime = performance.now();
const response = await fetch(
`${process.env.NEXT_PUBLIC_BASE_URL}/register`,
{
method: "POST",
body: formData,
}
);
// End measuring time
const endTime = performance.now();
const totalTime = (endTime - startTime) / 1000; // Convert milliseconds to seconds
if (response.ok) {
const data = await response.json();
console.log("API call successful");
alert(
`Message: ${data.message}\nName: ${data?.name}\nTime taken: ${totalTime.toFixed(2)} seconds`
); // Show success message with time taken
setError(""); // Clear error message on success
} else {
console.error("API call failed");
setError("Failed to register. Please try again."); // Set error message on failure
}
} catch (error) {
console.error("Error calling API", error);
setError("An error occurred. Please try again."); // Set error message on exception
}
};
return (
<div className="container">
<h1 className="title">Face Capture & Upload Form</h1>
<form className="form">
<div className="form-group">
<label htmlFor="name" className="label">
Name:
</label>
<input
id="name"
type="text"
value={name}
onChange={(e) => {
setName(e.target.value);
setError(""); // Clearing error message when user starts typing
}}
className="input"
placeholder="Enter your name"
required
/>
{error && !name.trim() && (
<p className="error-message">{error}</p> // Displaying error message if name is empty
)}
</div>
<div className="video-container">
<video ref={videoRef} autoPlay playsInline className="video" />
<button
type="button"
onClick={captureImage}
className="capture-button"
>
Capture Image
</button>
</div>
<div>Or</div>
<div className="file-upload-container">
<label htmlFor="file-upload" className="label">
Upload Image:
</label>
<input
id="file-upload"
type="file"
accept="image/*"
onChange={handleFileUpload}
className="file-input"
/>
<button
type="button"
onClick={submitUploadedFile}
// className="upload-button"
className="capture-button"
>
Submit Uploaded Image
</button>
</div>
<canvas
ref={canvasRef}
style={{ display: "none" }}
width="640"
height="480"
/>
{error && <p className="error-message">{error}</p>}
</form>
</div>
);
};
export default Register;

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components/search/Search.css View File

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.search-container {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 20px;
font-family: Arial, sans-serif;
}
.video-container {
margin-bottom: 20px;
}
.video {
width: 100%;
max-width: 500px;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.capture-button {
padding: 12px 20px;
font-size: 16px;
color: #fff;
background-color: #007bff;
border: none;
border-radius: 4px;
cursor: pointer;
transition: background-color 0.3s;
}
.capture-button:hover {
background-color: #0056b3;
}
.image-preview {
margin-top: 20px;
text-align: center;
}
.captured-image {
max-width: 100%;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.upload-container{
margin-top: 12px;
}

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components/search/Search.tsx View File

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// import React, { useRef, useEffect } from "react";
// import "./Search.css"; // Import CSS for styling
// const Search: React.FC = () => {
// const videoRef = useRef<HTMLVideoElement>(null);
// const canvasRef = useRef<HTMLCanvasElement>(null);
// // Automatically open the camera when the component mounts
// useEffect(() => {
// const openCamera = async () => {
// try {
// const stream = await navigator.mediaDevices.getUserMedia({
// video: true,
// });
// if (videoRef.current) {
// videoRef.current.srcObject = stream;
// }
// } catch (err) {
// console.error("Error accessing the camera", err);
// }
// };
// openCamera();
// }, []);
// // Capture image from video stream
// const captureImage = () => {
// const video = videoRef.current;
// const canvas = canvasRef.current;
// if (video && canvas) {
// const context = canvas.getContext("2d");
// if (context) {
// context.drawImage(video, 0, 0, canvas.width, canvas.height);
// canvas.toBlob((blob) => {
// if (blob) {
// const file = new File([blob], "captured-image.png", {
// type: "image/png",
// });
// callApi(file);
// }
// }, "image/png");
// }
// }
// };
// // Call API with the captured image file
// const callApi = async (file: File) => {
// const formData = new FormData();
// formData.append("image", file); // Append the file to the form data
// try {
// const startTime = performance.now();
// const response = await fetch(
// `${process.env.NEXT_PUBLIC_BASE_URL}/search`,
// {
// method: "POST",
// body: formData, // Send the form data
// }
// );
// // End measuring time
// const endTime = performance.now();
// const totalTime = (endTime - startTime) / 1000;
// if (response.ok) {
// const data = await response.json();
// console.log("API call successful", data);
// alert(
// `Search result: ${data.message}\nName: ${
// data?.name
// }\nTime taken: ${totalTime.toFixed(2)} seconds`
// );
// } else {
// console.error("API call failed");
// }
// } catch (error) {
// console.error("Error calling API", error);
// }
// };
// return (
// <div className="search-container">
// <h2>Search</h2>
// <div className="video-container">
// <video ref={videoRef} autoPlay playsInline className="video" />
// </div>
// <button type="button" onClick={captureImage} className="capture-button">
// Capture Image
// </button>
// <canvas
// ref={canvasRef}
// style={{ display: "none" }}
// width="640"
// height="480"
// />
// </div>
// );
// };
// export default Search;
import React, { useRef, useEffect, useState } from "react";
import "./Search.css"; // Import CSS for styling
const Search: React.FC = () => {
const videoRef = useRef<HTMLVideoElement>(null);
const canvasRef = useRef<HTMLCanvasElement>(null);
const [uploadedFile, setUploadedFile] = useState<File | null>(null);
// Automatically opennig the camera when the component mounts
useEffect(() => {
const openCamera = async () => {
try {
const stream = await navigator.mediaDevices.getUserMedia({
video: true,
});
if (videoRef.current) {
videoRef.current.srcObject = stream;
}
} catch (err) {
console.error("Error accessing the camera", err);
}
};
openCamera();
}, []);
// Capturing image from video stream
const captureImage = () => {
const video = videoRef.current;
const canvas = canvasRef.current;
if (video && canvas) {
const context = canvas.getContext("2d");
if (context) {
context.drawImage(video, 0, 0, canvas.width, canvas.height);
canvas.toBlob((blob) => {
if (blob) {
const file = new File([blob], "captured-image.png", {
type: "image/png",
});
callApi(file);
}
}, "image/png");
}
}
};
// Handling image upload
const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
const file = event.target.files?.[0];
if (file) {
setUploadedFile(file); // Storing the uploaded file in state
callApi(file); // Calling the API with the uploaded file
}
};
// Calling API with the provided image file
const callApi = async (file: File) => {
const formData = new FormData();
formData.append("image", file); // Appending the file to the form data
try {
const startTime = performance.now();
const response = await fetch(
`${process.env.NEXT_PUBLIC_BASE_URL}/search`,
{
method: "POST",
body: formData, // Sending the form data
}
);
// Ending measuring time
const endTime = performance.now();
const totalTime = (endTime - startTime) / 1000;
if (response.ok) {
const data = await response.json();
console.log("API call successful", data);
alert(
`Search result: ${data.message}\nName: ${
data?.name
}\nTime taken: ${totalTime.toFixed(2)} seconds`
);
} else {
console.error("API call failed");
}
} catch (error) {
console.error("Error calling API", error);
}
};
return (
<div className="search-container">
<h2>Search</h2>
<div className="video-container">
<video ref={videoRef} autoPlay playsInline className="video" />
</div>
<button type="button" onClick={captureImage} className="capture-button">
Capture Image
</button>
<div>Or</div>
<div className="upload-container">
<label htmlFor="upload" className="upload-label">
Upload Image
</label>
<input
type="file"
id="upload"
accept="image/*"
onChange={handleFileChange}
className="upload-input"
/>
</div>
<canvas
ref={canvasRef}
style={{ display: "none" }}
width="640"
height="480"
/>
</div>
);
};
export default Search;

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eslint.config.mjs View File

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import { dirname } from "path";
import { fileURLToPath } from "url";
import { FlatCompat } from "@eslint/eslintrc";
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const compat = new FlatCompat({
baseDirectory: __dirname,
});
const eslintConfig = [
...compat.extends("next/core-web-vitals", "next/typescript"),
];
export default eslintConfig;

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face_recognition_model_web

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Subproject commit 300e624454be86585500a57bd54a1e0cb28b7a94

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next.config.ts View File

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import type { NextConfig } from "next";
const nextConfig: NextConfig = {
/* config options here */
};
export default nextConfig;

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package-lock.json
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package.json View File

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{
"name": "face_recognition_model_web",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint"
},
"dependencies": {
"react": "^19.0.0",
"react-dom": "^19.0.0",
"next": "15.1.6"
},
"devDependencies": {
"typescript": "^5",
"@types/node": "^20",
"@types/react": "^19",
"@types/react-dom": "^19",
"postcss": "^8",
"tailwindcss": "^3.4.1",
"eslint": "^9",
"eslint-config-next": "15.1.6",
"@eslint/eslintrc": "^3"
}
}

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postcss.config.mjs View File

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/** @type {import('postcss-load-config').Config} */
const config = {
plugins: {
tailwindcss: {},
},
};
export default config;

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public/file.svg View File

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<svg fill="none" viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg"><path d="M14.5 13.5V5.41a1 1 0 0 0-.3-.7L9.8.29A1 1 0 0 0 9.08 0H1.5v13.5A2.5 2.5 0 0 0 4 16h8a2.5 2.5 0 0 0 2.5-2.5m-1.5 0v-7H8v-5H3v12a1 1 0 0 0 1 1h8a1 1 0 0 0 1-1M9.5 5V2.12L12.38 5zM5.13 5h-.62v1.25h2.12V5zm-.62 3h7.12v1.25H4.5zm.62 3h-.62v1.25h7.12V11z" clip-rule="evenodd" fill="#666" fill-rule="evenodd"/></svg>

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public/globe.svg View File

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<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><g clip-path="url(#a)"><path fill-rule="evenodd" clip-rule="evenodd" d="M10.27 14.1a6.5 6.5 0 0 0 3.67-3.45q-1.24.21-2.7.34-.31 1.83-.97 3.1M8 16A8 8 0 1 0 8 0a8 8 0 0 0 0 16m.48-1.52a7 7 0 0 1-.96 0H7.5a4 4 0 0 1-.84-1.32q-.38-.89-.63-2.08a40 40 0 0 0 3.92 0q-.25 1.2-.63 2.08a4 4 0 0 1-.84 1.31zm2.94-4.76q1.66-.15 2.95-.43a7 7 0 0 0 0-2.58q-1.3-.27-2.95-.43a18 18 0 0 1 0 3.44m-1.27-3.54a17 17 0 0 1 0 3.64 39 39 0 0 1-4.3 0 17 17 0 0 1 0-3.64 39 39 0 0 1 4.3 0m1.1-1.17q1.45.13 2.69.34a6.5 6.5 0 0 0-3.67-3.44q.65 1.26.98 3.1M8.48 1.5l.01.02q.41.37.84 1.31.38.89.63 2.08a40 40 0 0 0-3.92 0q.25-1.2.63-2.08a4 4 0 0 1 .85-1.32 7 7 0 0 1 .96 0m-2.75.4a6.5 6.5 0 0 0-3.67 3.44 29 29 0 0 1 2.7-.34q.31-1.83.97-3.1M4.58 6.28q-1.66.16-2.95.43a7 7 0 0 0 0 2.58q1.3.27 2.95.43a18 18 0 0 1 0-3.44m.17 4.71q-1.45-.12-2.69-.34a6.5 6.5 0 0 0 3.67 3.44q-.65-1.27-.98-3.1" fill="#666"/></g><defs><clipPath id="a"><path fill="#fff" d="M0 0h16v16H0z"/></clipPath></defs></svg>

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public/next.svg View File

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<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 394 80"><path fill="#000" d="M262 0h68.5v12.7h-27.2v66.6h-13.6V12.7H262V0ZM149 0v12.7H94v20.4h44.3v12.6H94v21h55v12.6H80.5V0h68.7zm34.3 0h-17.8l63.8 79.4h17.9l-32-39.7 32-39.6h-17.9l-23 28.6-23-28.6zm18.3 56.7-9-11-27.1 33.7h17.8l18.3-22.7z"/><path fill="#000" d="M81 79.3 17 0H0v79.3h13.6V17l50.2 62.3H81Zm252.6-.4c-1 0-1.8-.4-2.5-1s-1.1-1.6-1.1-2.6.3-1.8 1-2.5 1.6-1 2.6-1 1.8.3 2.5 1a3.4 3.4 0 0 1 .6 4.3 3.7 3.7 0 0 1-3 1.8zm23.2-33.5h6v23.3c0 2.1-.4 4-1.3 5.5a9.1 9.1 0 0 1-3.8 3.5c-1.6.8-3.5 1.3-5.7 1.3-2 0-3.7-.4-5.3-1s-2.8-1.8-3.7-3.2c-.9-1.3-1.4-3-1.4-5h6c.1.8.3 1.6.7 2.2s1 1.2 1.6 1.5c.7.4 1.5.5 2.4.5 1 0 1.8-.2 2.4-.6a4 4 0 0 0 1.6-1.8c.3-.8.5-1.8.5-3V45.5zm30.9 9.1a4.4 4.4 0 0 0-2-3.3 7.5 7.5 0 0 0-4.3-1.1c-1.3 0-2.4.2-3.3.5-.9.4-1.6 1-2 1.6a3.5 3.5 0 0 0-.3 4c.3.5.7.9 1.3 1.2l1.8 1 2 .5 3.2.8c1.3.3 2.5.7 3.7 1.2a13 13 0 0 1 3.2 1.8 8.1 8.1 0 0 1 3 6.5c0 2-.5 3.7-1.5 5.1a10 10 0 0 1-4.4 3.5c-1.8.8-4.1 1.2-6.8 1.2-2.6 0-4.9-.4-6.8-1.2-2-.8-3.4-2-4.5-3.5a10 10 0 0 1-1.7-5.6h6a5 5 0 0 0 3.5 4.6c1 .4 2.2.6 3.4.6 1.3 0 2.5-.2 3.5-.6 1-.4 1.8-1 2.4-1.7a4 4 0 0 0 .8-2.4c0-.9-.2-1.6-.7-2.2a11 11 0 0 0-2.1-1.4l-3.2-1-3.8-1c-2.8-.7-5-1.7-6.6-3.2a7.2 7.2 0 0 1-2.4-5.7 8 8 0 0 1 1.7-5 10 10 0 0 1 4.3-3.5c2-.8 4-1.2 6.4-1.2 2.3 0 4.4.4 6.2 1.2 1.8.8 3.2 2 4.3 3.4 1 1.4 1.5 3 1.5 5h-5.8z"/></svg>

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public/vercel.svg View File

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<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1155 1000"><path d="m577.3 0 577.4 1000H0z" fill="#fff"/></svg>

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public/window.svg View File

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<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.5 2.5h13v10a1 1 0 0 1-1 1h-11a1 1 0 0 1-1-1zM0 1h16v11.5a2.5 2.5 0 0 1-2.5 2.5h-11A2.5 2.5 0 0 1 0 12.5zm3.75 4.5a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5M7 4.75a.75.75 0 1 1-1.5 0 .75.75 0 0 1 1.5 0m1.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5" fill="#666"/></svg>

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tailwind.config.ts View File

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import type { Config } from "tailwindcss";
export default {
content: [
"./pages/**/*.{js,ts,jsx,tsx,mdx}",
"./components/**/*.{js,ts,jsx,tsx,mdx}",
"./app/**/*.{js,ts,jsx,tsx,mdx}",
],
theme: {
extend: {
colors: {
background: "var(--background)",
foreground: "var(--foreground)",
},
},
},
plugins: [],
} satisfies Config;

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tsconfig.json View File

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{
"compilerOptions": {
"target": "ES2017",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"plugins": [
{
"name": "next"
}
],
"paths": {
"@/*": ["./*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]
}

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