186 lines
8.9 KiB
TypeScript
186 lines
8.9 KiB
TypeScript
import React, { useState } from 'react';
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import Header from '../components/Header';
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import { useAuth } from '../AuthContext';
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import { motion } from 'framer-motion';
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import { Brain, Upload, Image as ImageIcon, AlertCircle } from 'lucide-react';
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import NeuroScorecard from '../components/NeuroScorecard';
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import { ApiKeyModal } from '../components/ApiKeyModal';
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const ScorecardPage = () => {
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const { user, token, logout, refreshUser } = useAuth();
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const [imageUrl, setImageUrl] = useState<string>('');
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const [loading, setLoading] = useState(false);
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const [analysis, setAnalysis] = useState<any>(null);
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const [error, setError] = useState<string | null>(null);
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const [isApiKeyModalOpen, setIsApiKeyModalOpen] = useState(false);
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const handleImageUpload = (e: React.ChangeEvent<HTMLInputElement>) => {
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const file = e.target.files?.[0];
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if (file) {
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const reader = new FileReader();
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reader.onloadend = () => {
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setImageUrl(reader.result as string);
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setAnalysis(null); // Reset analysis when new image is uploaded
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};
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reader.readAsDataURL(file);
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}
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};
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const analyzeImage = async () => {
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if (!imageUrl) return;
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setLoading(true);
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setError(null);
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try {
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// Strip base64 prefix if present for API
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const base64Data = imageUrl.split(',')[1];
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const response = await fetch('http://localhost:3001/api/neuro-score', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${token}`
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},
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body: JSON.stringify({
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imageBase64: base64Data,
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apiKey: localStorage.getItem('gemini_api_key') || user?.apiKey // BYOK support
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})
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});
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const data = await response.json();
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if (!data.success) {
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throw new Error(data.error || "Analysis failed");
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}
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setAnalysis(data.data);
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} catch (err: any) {
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setError(err.message);
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} finally {
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setLoading(false);
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}
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};
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return (
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<div className="min-h-screen bg-stone-950 text-stone-200 font-sans selection:bg-purple-500/30">
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<Header
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user={user}
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logout={logout}
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openApiKeyModal={() => setIsApiKeyModalOpen(true)}
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/>
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<ApiKeyModal
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isOpen={isApiKeyModalOpen}
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onClose={() => setIsApiKeyModalOpen(false)}
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/>
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<main className="max-w-6xl mx-auto px-6 py-12">
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{/* Hero Section */}
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<div className="text-center mb-16">
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<motion.div
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initial={{ opacity: 0, y: 20 }}
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animate={{ opacity: 1, y: 0 }}
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className="inline-flex items-center gap-2 px-4 py-1.5 rounded-full bg-blue-500/10 border border-blue-500/20 text-blue-400 text-sm font-medium mb-6"
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>
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<Brain className="w-4 h-4" />
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<span>The Internal Critic</span>
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</motion.div>
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<h1 className="text-5xl md:text-6xl font-serif text-white mb-6">
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Neuro-Scorecard
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</h1>
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<p className="text-xl text-stone-400 max-w-2xl mx-auto leading-relaxed">
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Don't guess what sells. Let our AI predict your conversion rate by analyzing
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dopamine triggers, cognitive ease, and market fit.
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</p>
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</div>
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<div className="grid grid-cols-1 lg:grid-cols-2 gap-12 items-start">
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{/* Input Section */}
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<div className="space-y-6">
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<div className="p-8 rounded-3xl bg-stone-900/50 border border-white/5 backdrop-blur-sm relative group overflow-hidden">
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<div className="absolute inset-0 bg-gradient-to-br from-blue-500/5 to-purple-500/5 opacity-0 group-hover:opacity-100 transition-opacity" />
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{!imageUrl ? (
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<label className="flex flex-col items-center justify-center w-full h-80 border-2 border-dashed border-white/10 rounded-xl cursor-pointer hover:border-blue-500/50 hover:bg-white/5 transition-all group-hover:scale-[1.02]">
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<div className="flex flex-col items-center justify-center pt-5 pb-6">
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<div className="p-4 bg-stone-800 rounded-full mb-4">
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<Upload className="w-8 h-8 text-stone-400" />
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</div>
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<p className="mb-2 text-lg text-stone-300 font-medium">Click to upload an image</p>
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<p className="text-sm text-stone-500">PNG, JPG up to 10MB</p>
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</div>
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<input type="file" className="hidden" accept="image/*" onChange={handleImageUpload} />
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</label>
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) : (
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<div className="relative rounded-xl overflow-hidden shadow-2xl">
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<img src={imageUrl} alt="Analysis Target" className="w-full h-auto object-cover" />
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<button
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onClick={() => { setImageUrl(''); setAnalysis(null); }}
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className="absolute top-4 right-4 p-2 bg-black/50 backdrop-blur-md rounded-full text-white hover:bg-red-500/80 transition-colors"
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>
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<svg xmlns="http://www.w3.org/2000/svg" className="h-5 w-5" viewBox="0 0 20 20" fill="currentColor">
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<path fillRule="evenodd" d="M4.293 4.293a1 1 0 011.414 0L10 8.586l4.293-4.293a1 1 0 111.414 1.414L11.414 10l4.293 4.293a1 1 0 01-1.414 1.414L10 11.414l-4.293 4.293a1 1 0 01-1.414-1.414L8.586 10 4.293 5.707a1 1 0 010-1.414z" clipRule="evenodd" />
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</svg>
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</button>
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</div>
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)}
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</div>
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<button
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onClick={analyzeImage}
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disabled={!imageUrl || loading}
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className={`w-full py-4 rounded-xl font-bold text-lg shadow-lg flex items-center justify-center gap-2 transition-all ${!imageUrl ? 'bg-stone-800 text-stone-500 cursor-not-allowed' :
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loading ? 'bg-stone-700 text-stone-400 cursor-wait' :
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'bg-gradient-to-r from-blue-600 to-purple-600 hover:from-blue-500 hover:to-purple-500 text-white hover:shadow-blue-500/20 hover:scale-[1.02]'
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}`}
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>
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{loading ? (
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<>Processing Vision...</>
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) : (
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<>
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<Brain className="w-5 h-5" />
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Run Neuro-Analysis
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</>
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)}
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</button>
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{error && (
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<motion.div
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initial={{ opacity: 0, y: 10 }}
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animate={{ opacity: 1, y: 0 }}
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className="p-4 bg-red-500/10 border border-red-500/20 rounded-xl text-red-400 flex items-center gap-3"
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>
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<AlertCircle className="w-5 h-5 flex-shrink-0" />
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<p>{error}</p>
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</motion.div>
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)}
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</div>
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{/* Results Section */}
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<div>
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{!analysis && !loading && (
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<div className="h-full flex flex-col items-center justify-center text-stone-600 p-12 border border-white/5 rounded-3xl bg-stone-900/30 border-dashed">
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<ImageIcon className="w-16 h-16 mb-4 opacity-20" />
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<p className="text-lg font-medium">Ready to Score</p>
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<p className="text-sm">Upload an image to see its commercial prediction.</p>
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</div>
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)}
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{(analysis || loading) && (
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<NeuroScorecard analysis={analysis} loading={loading} />
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)}
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</div>
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</div>
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</main>
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</div>
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);
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};
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export default ScorecardPage;
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