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import React, { useState } from 'react';
import Header from './components/Header';
import InputSection from './components/InputSection';
import Results from './components/Results';
function App() {
const [result, setResult] = useState(null);
const [loading, setLoading] = useState(false);
const handleAnalyze = async (data) => {
setLoading(true);
try {
let payload = {};
if (data.type === 'text') {
payload = { text: data.content };
}
// Note: File upload would need FormData, keeping it simple JSON for text for now
const response = await fetch('/api/analyze/', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(payload),
});
if (!response.ok) {
throw new Error('Analysis failed');
}
const resultData = await response.json();
// Attach original text for the report
setResult({ ...resultData, originalText: payload.text || "Uploaded File Content" });
} catch (error) {
console.error("Error analyzing:", error);
alert("Failed to connect to local backend. Make sure Django is running!");
} finally {
setLoading(false);
}
};
const handleReset = () => {
setResult(null);
};
return (
<>
<Header />
<main className="w-full flex-1 flex flex-col items-center px-4 pb-12">
{!result && !loading && (
<InputSection onAnalyze={handleAnalyze} />
)}
{loading && (
<div className="mt-12 flex flex-col items-center">
<div className="w-12 h-12 border-4 border-blue-500 border-t-transparent rounded-full animate-spin mb-4"></div>
<p className="text-secondary animate-pulse">Analyzing patterns...</p>
</div>
)}
{result && (
<Results result={result} onReset={handleReset} />
)}
</main>
<footer className="w-full py-6 text-center text-[rgba(255,255,255,0.2)] text-sm">
© 2026 DetectAI Project. POC Version.
</footer>
</>
);
}
export default App;
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