Merge branch 'main' of https://github.com/PlatypusPus/MushroomEmpire

ai_governance/report_generator.py

@@ -117,6 +117,7 @@ class ReportGenerator:
         privacy = self.risk_results.get('privacy_risks', {})
         
         return {
+            'pii_detected': privacy.get('pii_detected', []),  # Include full PII detections array
             'pii_count': len(privacy.get('pii_detected', [])),
             'anonymization_level': privacy.get('anonymization_level', 'UNKNOWN'),
             'exposure_risk_count': len(privacy.get('exposure_risks', [])),

api/routers/analyze.py

@@ -123,10 +123,14 @@ async def analyze_dataset(file: UploadFile = File(...)):
             },
             "risk_assessment": {
                 "overall_risk_score": risk_assessment.get("overall_risk_score", 0),
-                "privacy_risks": risk_assessment.get("privacy_risks", []),
+                "risk_level": risk_assessment.get("risk_level", "LOW"),
-                "ethical_risks": risk_assessment.get("ethical_risks", []),
+                "presidio_enabled": risk_assessment.get("presidio_enabled", False),
-                "compliance_risks": risk_assessment.get("risk_categories", {}).get("compliance_risks", []),
+                "privacy_risks": risk_assessment.get("privacy_risks", {}),
-                "data_quality_risks": risk_assessment.get("risk_categories", {}).get("data_quality_risks", [])
+                "ethical_risks": risk_assessment.get("ethical_risks", {}),
+                "compliance_risks": risk_assessment.get("compliance_risks", {}),
+                "risk_categories": risk_assessment.get("risk_categories", {}),
+                "violations": risk_assessment.get("violations", []),
+                "insights": risk_assessment.get("insights", [])
             },
             "recommendations": report.get("recommendations", []),
             "report_file": f"/{report_path}",

api/routers/chatbot.py

@@ -1,7 +1,9 @@
 import ollama
 import chromadb
 from pypdf import PdfReader 
-from fastapi import FastAPI 
+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
 import uvicorn
 
 from fastapi.middleware.cors import CORSMiddleware
@@ -34,11 +36,24 @@ for i, chunk in enumerate(chunks):
 print("Embeddings done!")
 
 
+# Allow browser calls from the frontend
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+class ChatRequest(BaseModel):
+    prompt: str
+
 @app.post("/chat")
-async def chat_bot(prompt: str):
+async def chat_bot(prompt: str | None = None, body: ChatRequest | None = None):
-    if not prompt:
+    # Accept prompt from either query (?prompt=) or JSON body {"prompt": "..."}
-        return
+    query = prompt or (body.prompt if body else None)
-    query = prompt
+    if not query:
+        raise HTTPException(status_code=400, detail="Missing prompt")
     response = ollama.embed(model="nomic-embed-text", input=query)
     query_embedding = response["embeddings"][0]
 

frontend/app/api/chat/route.ts

@@ -0,0 +1,38 @@
+import { NextResponse } from 'next/server';
+
+const CHAT_HOST = process.env.CHAT_API_URL || process.env.NEXT_PUBLIC_CHAT_API_URL || 'https://f52c8f4e7dfc.ngrok-free.app';
+
+export async function POST(req: Request) {
+  try {
+    const body = await req.json().catch(() => ({}));
+    const prompt = typeof body?.prompt === 'string' ? body.prompt : '';
+    if (!prompt.trim()) {
+      return NextResponse.json({ detail: 'Missing prompt' }, { status: 400 });
+    }
+
+    const controller = new AbortController();
+    const timeout = setTimeout(() => controller.abort(), 120_000);
+    try {
+      const upstream = await fetch(`${CHAT_HOST}/chat`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json', 'Accept': 'application/json' },
+        body: JSON.stringify({ prompt }),
+        signal: controller.signal,
+      });
+
+      const text = await upstream.text();
+      let json: any;
+      try { json = JSON.parse(text); } catch { json = { response: text }; }
+
+      if (!upstream.ok) {
+        return NextResponse.json(json || { detail: 'Chat failed' }, { status: upstream.status });
+      }
+      return NextResponse.json(json);
+    } finally {
+      clearTimeout(timeout);
+    }
+  } catch (err: any) {
+    const msg = err?.name === 'AbortError' ? 'Request timed out – model may be overloaded.' : (err?.message || 'Unexpected error');
+    return NextResponse.json({ detail: msg }, { status: 500 });
+  }
+}

frontend/components/Navbar.tsx

@@ -1,23 +1,15 @@
 "use client";
 import Link from 'next/link';
 import { usePathname } from 'next/navigation';
-import { useEffect, useState } from 'react';
+import { useState } from 'react';
 
 export function Navbar() {
   const pathname = usePathname();
   const onTry = pathname?.startsWith('/try');
-  const [scrolled, setScrolled] = useState(false);
   const [menuOpen, setMenuOpen] = useState(false);
 
-  useEffect(() => {
-    const onScroll = () => setScrolled(window.scrollY > 4);
-    onScroll();
-    window.addEventListener('scroll', onScroll, { passive: true });
-    return () => window.removeEventListener('scroll', onScroll);
-  }, []);
-
   return (
-    <nav className={`w-full sticky top-0 z-50 transition-colors ${scrolled ? 'bg-white/90 border-b border-slate-200/70 shadow-sm' : 'bg-white/70 border-b border-transparent'}`}>
+    <nav className={`w-full sticky top-0 z-50 bg-white border-b border-slate-200 shadow-md`}>
       <div className="container-max flex items-center justify-between h-16">
         <Link href="/" className="font-semibold text-brand-700 text-lg tracking-tight">Nordic Privacy AI</Link>
         {/* Desktop nav */}

frontend/components/try/ChatbotPanel.tsx

@@ -1,41 +1,118 @@
 "use client";
-import { useState } from "react";
+import { useState, useRef, useEffect } from "react";
+import { chatWithCopilot } from "../../lib/api";
+
+const CHAT_ENDPOINT = process.env.NEXT_PUBLIC_CHAT_API_URL || 'https://f52c8f4e7dfc.ngrok-free.app';
 
 export function ChatbotPanel() {
-	const [messages] = useState<{ role: "user" | "assistant"; content: string }[]>([
+	const [messages, setMessages] = useState<{ role: "user" | "assistant"; content: string; pending?: boolean; error?: boolean }[]>([
-		{ role: "assistant", content: "Hi! I'll help you interpret compliance results soon." },
+		{ role: "assistant", content: "Hi! I'm your Privacy Copilot. Ask me about compliance, GDPR articles, or dataset risks." },
 	]);
+	const [input, setInput] = useState("");
+	const [isLoading, setIsLoading] = useState(false);
+	const [delayedError, setDelayedError] = useState<string | null>(null);
+	const scrollRef = useRef<HTMLDivElement | null>(null);
 
-		return (
+	useEffect(() => {
-			<div className="flex flex-col h-full border-l border-slate-200 bg-white/80">
+		if (scrollRef.current) {
+			scrollRef.current.scrollTop = scrollRef.current.scrollHeight;
+		}
+	}, [messages]);
+
+	async function handleSubmit(e: React.FormEvent) {
+		e.preventDefault();
+		const prompt = input.trim();
+		if (!prompt || isLoading) return;
+		setInput("");
+		setDelayedError(null);
+		setMessages(prev => [...prev, { role: "user", content: prompt }, { role: "assistant", content: "Thinking…", pending: true }]);
+		setIsLoading(true);
+
+		// Delay window for showing errors (avoid instant flashing if slow model)
+		const errorDisplayDelayMs = 4_000;
+		let canShowError = false;
+		const delayTimer = setTimeout(() => { canShowError = true; if (delayedError) showErrorBubble(delayedError); }, errorDisplayDelayMs);
+
+		function showErrorBubble(msg: string) {
+			setMessages(prev => prev.map(m => m.pending ? { ...m, content: msg, pending: false, error: true } : m));
+		}
+
+		try {
+				let responseText: string | null = null;
+				// Primary attempt via shared client
+				try {
+					responseText = await chatWithCopilot(prompt);
+				} catch (primaryErr: any) {
+					// Fallback: replicate working curl (query param, empty body)
+					try {
+						const res = await fetch(`${CHAT_ENDPOINT}/chat?prompt=${encodeURIComponent(prompt)}` , {
+							method: 'POST',
+							headers: { 'accept': 'application/json' },
+							body: ''
+						});
+						if (res.ok) {
+							const j = await res.json();
+							responseText = j.response || JSON.stringify(j);
+						} else {
+							throw primaryErr;
+						}
+					} catch { throw primaryErr; }
+				}
+				clearTimeout(delayTimer);
+				setMessages(prev => prev.map(m => m.pending ? { ...m, content: responseText || 'No response text', pending: false } : m));
+			} catch (err: any) {
+				clearTimeout(delayTimer);
+				const errMsg = err?.message || 'Unexpected error';
+				if (canShowError) {
+					showErrorBubble(errMsg);
+				} else {
+					setDelayedError(errMsg);
+				}
+			} finally {
+				setIsLoading(false);
+			}
+	}
+
+	return (
+		<div className="flex flex-col h-full border-l border-slate-200 bg-white/80">
 			<div className="h-14 flex items-center px-4 border-b border-slate-200">
 				<h2 className="font-semibold text-sm text-brand-700">Privacy Copilot</h2>
 			</div>
-			<div className="flex-1 overflow-y-auto p-4 space-y-3">
+			<div ref={scrollRef} className="flex-1 overflow-y-auto p-4 space-y-3">
 				{messages.map((m, i) => (
 					<div
 						key={i}
-						className={"rounded-md px-3 py-2 text-sm max-w-[80%] " + (m.role === "assistant" ? "bg-brand-600/10 text-brand-800" : "bg-brand-600 text-white ml-auto")}
+						className={"rounded-md px-3 py-2 text-sm max-w-[80%] whitespace-pre-wrap " +
+							(m.role === "assistant"
+								? m.error
+									? "bg-red-50 text-red-700 border border-red-200"
+									: m.pending
+										? "bg-brand-600/10 text-brand-700 animate-pulse"
+										: "bg-brand-600/10 text-brand-800"
+								: "bg-brand-600 text-white ml-auto")}
 					>
 						{m.content}
 					</div>
 				))}
 			</div>
 			<div className="p-3 border-t border-slate-200">
-				<form className="flex gap-2" onSubmit={e => e.preventDefault()}>
+				<form className="flex gap-2" onSubmit={handleSubmit}>
 					<input
-						disabled
+						value={input}
-						placeholder="Chat coming soon..."
+						onChange={e => setInput(e.target.value)}
-						className="flex-1 rounded-md border border-slate-300 bg-slate-50 px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-brand-400 disabled:opacity-60"
+						placeholder="Ask about GDPR, compliance, privacy risks..."
+						className="flex-1 rounded-md border border-slate-300 bg-white px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-brand-400 disabled:opacity-60"
+						disabled={isLoading}
 					/>
 					<button
 						type="submit"
-						disabled
+						disabled={!input.trim() || isLoading}
 						className="rounded-md bg-brand-600 text-white px-4 py-2 text-sm font-medium disabled:opacity-50"
 					>
-						Send
+						{isLoading ? 'Sending…' : 'Send'}
 					</button>
 				</form>
+				<p className="mt-2 text-[11px] text-slate-500">Responses may take up to 1–2 minutes while the local model generates output.</p>
 			</div>
 		</div>
 	);

frontend/lib/api.ts

@@ -4,6 +4,8 @@
  */
 
 const API_BASE_URL = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:8000';
+// Base URL for chat backend (do not include path)
+const CHAT_API_BASE_URL = process.env.NEXT_PUBLIC_CHAT_API_URL || 'https://f52c8f4e7dfc.ngrok-free.app';
 
 export interface AnalyzeResponse {
   status: string;
@@ -188,3 +190,42 @@ export async function healthCheck() {
   const response = await fetch(`${API_BASE_URL}/health`);
   return response.json();
 }
+
+/**
+ * Chat with Privacy Copilot (ngrok tunneled backend)
+ * Provides a resilient call with extended timeout and delayed error surfacing.
+ */
+export async function chatWithCopilot(prompt: string): Promise<string> {
+  if (!prompt.trim()) throw new Error('Empty prompt');
+
+  const controller = new AbortController();
+  const timeoutMs = 120_000; // allow up to 2 minutes for slow local model
+  const timeout = setTimeout(() => controller.abort(), timeoutMs);
+
+  try {
+    // EXACT same request style as the provided curl:
+    // curl -X POST 'https://<host>/chat?prompt=hello' -H 'accept: application/json' -d ''
+    const url = `${CHAT_API_BASE_URL}/chat?prompt=${encodeURIComponent(prompt)}`;
+    const res = await fetch(url, {
+      method: 'POST',
+      headers: { 'accept': 'application/json' },
+      body: '', // empty body
+      signal: controller.signal,
+    });
+    if (!res.ok) {
+      let detail: any = undefined;
+      try { detail = await res.json(); } catch {}
+      throw new Error(detail?.detail || `Chat failed (${res.status})`);
+    }
+
+    const json = await res.json();
+    return json.response || JSON.stringify(json);
+  } catch (err: any) {
+    if (err?.name === 'AbortError') {
+      throw new Error('Request timed out – model may be overloaded.');
+    }
+    throw err;
+  } finally {
+    clearTimeout(timeout);
+  }
+}

frontend/nordic-privacy-ai/components/try/CenterPanel.tsx

@@ -1,620 +0,0 @@
-"use client";
-import { TryTab } from "./Sidebar";
-import { useState, useRef, useCallback, useEffect } from "react";
-import { saveLatestUpload, getLatestUpload, deleteLatestUpload } from "../../lib/indexeddb";
-import { analyzeDataset, cleanDataset, getReportUrl, type AnalyzeResponse, type CleanResponse } from "../../lib/api";
-
-interface CenterPanelProps {
-	tab: TryTab;
-	onAnalyze?: () => void;
-}
-
-interface UploadedFileMeta {
-	name: string;
-	size: number;
-	type: string;
-	contentPreview: string;
-}
-
-interface TablePreviewData {
-	headers: string[];
-	rows: string[][];
-	origin: 'csv';
-}
-
-export function CenterPanel({ tab, onAnalyze }: CenterPanelProps) {
-	const PREVIEW_BYTES = 64 * 1024; // read first 64KB slice for large-file preview
-	const [fileMeta, setFileMeta] = useState<UploadedFileMeta | null>(null);
-	const [uploadedFile, setUploadedFile] = useState<File | null>(null);
-	const [isDragging, setIsDragging] = useState(false);
-	const [progress, setProgress] = useState<number>(0);
-	const [progressLabel, setProgressLabel] = useState<string>("Processing");
-	const [tablePreview, setTablePreview] = useState<TablePreviewData | null>(null);
-	const inputRef = useRef<HTMLInputElement | null>(null);
-	const [loadedFromCache, setLoadedFromCache] = useState(false);
-	const [isProcessing, setIsProcessing] = useState(false);
-	const [error, setError] = useState<string | null>(null);
-	
-	// Analysis results
-	const [analyzeResult, setAnalyzeResult] = useState<AnalyzeResponse | null>(null);
-	const [cleanResult, setCleanResult] = useState<CleanResponse | null>(null);
-
-	const reset = () => {
-		setFileMeta(null);
-		setUploadedFile(null);
-		setProgress(0);
-		setProgressLabel("Processing");
-		setTablePreview(null);
-		setError(null);
-	};
-
-	// Handle API calls
-	const handleAnalyze = async () => {
-		if (!uploadedFile) {
-			setError("No file uploaded");
-			return;
-		}
-		
-		setIsProcessing(true);
-		setError(null);
-		setProgressLabel("Analyzing dataset...");
-		
-		try {
-			const result = await analyzeDataset(uploadedFile);
-			setAnalyzeResult(result);
-			setProgressLabel("Analysis complete!");
-			onAnalyze?.(); // Navigate to bias-analysis tab
-		} catch (err: any) {
-			setError(err.message || "Analysis failed");
-		} finally {
-			setIsProcessing(false);
-		}
-	};
-
-	const handleClean = async () => {
-		if (!uploadedFile) {
-			setError("No file uploaded");
-			return;
-		}
-		
-		setIsProcessing(true);
-		setError(null);
-		setProgressLabel("Cleaning dataset...");
-		
-		try {
-			const result = await cleanDataset(uploadedFile);
-			setCleanResult(result);
-			setProgressLabel("Cleaning complete!");
-		} catch (err: any) {
-			setError(err.message || "Cleaning failed");
-		} finally {
-			setIsProcessing(false);
-		}
-	};		function tryParseCSV(text: string, maxRows = 50, maxCols = 40): TablePreviewData | null {
-			const lines = text.split(/\r?\n/).filter(l => l.trim().length > 0);
-			if (lines.length < 2) return null;
-			const commaDensity = lines.slice(0, 10).filter(l => l.includes(',')).length;
-			if (commaDensity < 2) return null;
-			const parseLine = (line: string) => {
-				const out: string[] = [];
-				let cur = '';
-				let inQuotes = false;
-				for (let i = 0; i < line.length; i++) {
-					const ch = line[i];
-					if (ch === '"') {
-						if (inQuotes && line[i + 1] === '"') { cur += '"'; i++; } else { inQuotes = !inQuotes; }
-					} else if (ch === ',' && !inQuotes) {
-						out.push(cur);
-						cur = '';
-					} else { cur += ch; }
-				}
-				out.push(cur);
-				return out.map(c => c.trim());
-			};
-			const raw = lines.slice(0, maxRows).map(parseLine);
-			if (raw.length === 0) return null;
-			const headers = raw[0];
-			const colCount = Math.min(headers.length, maxCols);
-			const rows = raw.slice(1).map(r => r.slice(0, colCount));
-			return { headers: headers.slice(0, colCount), rows, origin: 'csv' };
-		}
-
-		// We no longer build table preview for JSON; revert JSON to raw text view.
-
-	const processFile = useCallback(async (f: File) => {
-		if (!f) return;
-		const isCSV = /\.csv$/i.test(f.name);
-		setProgress(0);
-		setUploadedFile(f); // Save the file for API calls
-		
-		// For large files, show a progress bar while reading the file stream (no preview)
-		if (f.size > 1024 * 1024) {
-				setProgressLabel("Uploading");
-				const metaObj: UploadedFileMeta = {
-					name: f.name,
-					size: f.size,
-					type: f.type || "unknown",
-					contentPreview: `Loading partial preview (first ${Math.round(PREVIEW_BYTES/1024)}KB)...`,
-				};
-				setFileMeta(metaObj);
-				setTablePreview(null);
-				// Save to IndexedDB immediately so it persists without needing full read
-				(async () => {
-					try { await saveLatestUpload(f, metaObj); } catch {}
-				})();
-				// Read head slice for partial preview & possible CSV table extraction
-				try {
-					const headBlob = f.slice(0, PREVIEW_BYTES);
-					const headReader = new FileReader();
-					headReader.onload = async () => {
-						try {
-							const buf = headReader.result as ArrayBuffer;
-							const decoder = new TextDecoder();
-							const text = decoder.decode(buf);
-							setFileMeta(prev => prev ? { ...prev, contentPreview: text.slice(0, 4000) } : prev);
-							if (isCSV) {
-								const parsed = tryParseCSV(text);
-								setTablePreview(parsed);
-							} else {
-								setTablePreview(null);
-							}
-							try { await saveLatestUpload(f, { ...metaObj, contentPreview: text.slice(0, 4000) }); } catch {}
-						} catch { /* ignore */ }
-					};
-					headReader.readAsArrayBuffer(headBlob);
-				} catch { /* ignore */ }
-				// Use streaming read for progress without buffering entire file in memory
-				try {
-					const stream: ReadableStream<Uint8Array> | undefined = (typeof (f as any).stream === "function" ? (f as any).stream() : undefined);
-					if (stream && typeof stream.getReader === "function") {
-						const reader = stream.getReader();
-						let loaded = 0;
-						const total = f.size || 1;
-						for (;;) {
-							const { done, value } = await reader.read();
-							if (done) break;
-							loaded += value ? value.length : 0;
-							const pct = Math.min(100, Math.round((loaded / total) * 100));
-							setProgress(pct);
-						}
-						setProgress(100);
-					} else {
-						// Fallback to FileReader progress events
-						const reader = new FileReader();
-						reader.onprogress = (evt) => {
-							if (evt.lengthComputable) {
-								const pct = Math.min(100, Math.round((evt.loaded / evt.total) * 100));
-								setProgress(pct);
-							} else {
-								setProgress((p) => (p < 90 ? p + 5 : p));
-							}
-						};
-						reader.onloadend = () => setProgress(100);
-						reader.onerror = () => setProgress(0);
-						reader.readAsArrayBuffer(f);
-					}
-				} catch {
-					setProgress(100);
-				}
-				return;
-			}
-			const reader = new FileReader();
-			reader.onprogress = (evt) => {
-				if (evt.lengthComputable) {
-					const pct = Math.min(100, Math.round((evt.loaded / evt.total) * 100));
-					setProgress(pct);
-				} else {
-					setProgress((p) => (p < 90 ? p + 5 : p));
-				}
-			};
-				reader.onload = async () => {
-				try {
-					const buf = reader.result as ArrayBuffer;
-					const decoder = new TextDecoder();
-					const text = decoder.decode(buf);
-						const metaObj: UploadedFileMeta = {
-						name: f.name,
-						size: f.size,
-						type: f.type || "unknown",
-						contentPreview: text.slice(0, 4000),
-						};
-						setFileMeta(metaObj);
-						if (isCSV) {
-							const parsed = tryParseCSV(text);
-							setTablePreview(parsed);
-						} else {
-							setTablePreview(null);
-						}
-						// Save file blob and meta to browser cache (IndexedDB)
-						try {
-							await saveLatestUpload(f, metaObj);
-						} catch {}
-					setProgressLabel("Processing");
-					setProgress(100);
-				} catch (e) {
-						const metaObj: UploadedFileMeta = {
-						name: f.name,
-						size: f.size,
-						type: f.type || "unknown",
-						contentPreview: "Unable to decode preview.",
-						};
-						setFileMeta(metaObj);
-						setTablePreview(null);
-						try {
-							await saveLatestUpload(f, metaObj);
-						} catch {}
-					setProgressLabel("Processing");
-					setProgress(100);
-				}
-			};
-			reader.onerror = () => {
-				setProgress(0);
-			};
-			reader.readAsArrayBuffer(f);
-		}, []);
-
-		function handleFileChange(e: React.ChangeEvent<HTMLInputElement>) {
-			const f = e.target.files?.[0];
-			processFile(f as File);
-		}
-
-		const onDragOver = (e: React.DragEvent<HTMLDivElement>) => {
-			e.preventDefault();
-			setIsDragging(true);
-		};
-		const onDragLeave = () => setIsDragging(false);
-		const onDrop = (e: React.DragEvent<HTMLDivElement>) => {
-			e.preventDefault();
-			setIsDragging(false);
-			const f = e.dataTransfer.files?.[0];
-			processFile(f as File);
-		};
-
-	// Load last cached upload on mount (processing tab only)
-	useEffect(() => {
-		let ignore = false;
-		if (tab !== "processing") return;
-		(async () => {
-			try {
-				const { file, meta } = await getLatestUpload();
-				if (!ignore && meta) {
-					setFileMeta(meta as UploadedFileMeta);
-					if (file) {
-						setUploadedFile(file);
-					}
-					setLoadedFromCache(true);
-				}
-			} catch {}
-		})();
-		return () => {
-			ignore = true;
-		};
-	}, [tab]);	function renderTabContent() {
-			switch (tab) {
-			case "processing":
-					return (
-						<div className="space-y-4 max-w-[1100px] xl:max-w-[1200px] w-full mx-auto">
-						<h2 className="text-xl font-semibold">Upload & Process Data</h2>
-						<p className="text-sm text-slate-600">Upload a CSV / JSON / text file. We will later parse, detect PII, and queue analyses.</p>
-									<div className="flex flex-col gap-3 min-w-0">
-										<div
-											onDragOver={onDragOver}
-											onDragLeave={onDragLeave}
-											onDrop={onDrop}
-											className={
-												"rounded-lg border-2 border-dashed p-6 text-center transition-colors " +
-												(isDragging ? "border-brand-600 bg-brand-50" : "border-slate-300 hover:border-brand-300")
-											}
-										>
-											<p className="text-sm text-slate-600">Drag & drop a CSV / JSON / TXT here, or click to browse.</p>
-											<div className="mt-3">
-												<button
-													type="button"
-													onClick={() => inputRef.current?.click()}
-													className="inline-flex items-center rounded-md bg-brand-600 px-4 py-2 text-white text-sm font-medium shadow hover:bg-brand-500"
-												>
-													Choose file
-												</button>
-											</div>
-										</div>
-										<input
-								ref={inputRef}
-								type="file"
-								accept=".csv,.json,.txt"
-								onChange={handleFileChange}
-								className="hidden"
-								aria-hidden
-							/>
-										{progress > 0 && (
-											<div className="w-full">
-												<div className="h-2 w-full rounded-full bg-slate-200 overflow-hidden">
-													<div
-														className="h-2 bg-brand-600 transition-all"
-														style={{ width: `${progress}%` }}
-													/>
-												</div>
-												<div className="mt-1 text-xs text-slate-500">{progressLabel} {progress}%</div>
-											</div>
-										)}
-											{fileMeta && (
-								<div className="rounded-md border border-slate-200 p-4 bg-white shadow-sm">
-									<div className="flex items-center justify-between mb-2">
-										<div className="text-sm font-medium">{fileMeta.name}</div>
-										<div className="text-xs text-slate-500">{Math.round(fileMeta.size / 1024)} KB</div>
-									</div>
-													{loadedFromCache && (
-														<div className="mb-2 text-[11px] text-brand-700">Loaded from browser cache</div>
-													)}
-												<div className="mb-3 text-xs text-slate-500">{fileMeta.type || "Unknown type"}</div>
-												{/* Table preview when structured data detected; otherwise show text */}
-												{tablePreview && tablePreview.origin === 'csv' ? (
-													<div className="max-h-64 w-full min-w-0 overflow-x-auto overflow-y-auto rounded-md bg-slate-50">
-														<table className="min-w-full text-xs">
-															<thead className="sticky top-0 bg-slate-100">
-																<tr>
-																	{tablePreview.headers.map((h, idx) => (
-																		<th key={idx} className="text-left font-semibold px-3 py-2 border-b border-slate-200 whitespace-nowrap">{h}</th>
-																	))}
-																</tr>
-															</thead>
-															<tbody>
-																{tablePreview.rows.map((r, i) => (
-																	<tr key={i} className={i % 2 === 0 ? "" : "bg-slate-100/50"}>
-																		{r.map((c, j) => (
-																			<td key={j} className="px-3 py-1.5 border-b border-slate-100 whitespace-nowrap max-w-[24ch] overflow-hidden text-ellipsis">{c}</td>
-																		))}
-																	</tr>
-																))}
-															</tbody>
-														</table>
-													</div>
-												) : (
-													<pre className="max-h-64 overflow-auto text-xs bg-slate-50 p-3 rounded-md whitespace-pre-wrap leading-relaxed">
-														{fileMeta.contentPreview || "(no preview)"}
-													</pre>
-												)}
-												
-												{error && (
-													<div className="mt-3 p-3 bg-red-50 border border-red-200 rounded-md text-sm text-red-700">
-														❌ {error}
-													</div>
-												)}
-												
-												{analyzeResult && (
-													<div className="mt-3 p-3 bg-green-50 border border-green-200 rounded-md text-sm text-green-700">
-														✅ Analysis complete! View results in tabs.
-														<a
-															href={getReportUrl(analyzeResult.report_file)}
-															target="_blank"
-															rel="noopener noreferrer"
-															className="ml-2 underline"
-														>
-															Download Report
-														</a>
-													</div>
-												)}
-												
-												{cleanResult && (
-													<div className="mt-3 p-3 bg-green-50 border border-green-200 rounded-md text-sm text-green-700">
-														✅ Cleaning complete! {cleanResult.summary.total_cells_affected} cells anonymized.
-														<div className="mt-2 flex gap-2">
-															<a
-																href={getReportUrl(cleanResult.files.cleaned_csv)}
-																download
-																className="underline"
-															>
-																Download Cleaned CSV
-															</a>
-															<a
-																href={getReportUrl(cleanResult.files.audit_report)}
-																target="_blank"
-																rel="noopener noreferrer"
-																className="underline"
-															>
-																View Audit Report
-															</a>
-														</div>
-													</div>
-												)}
-												
-												<div className="mt-3 flex justify-end gap-2">
-													<button
-														type="button"
-															onClick={async () => {
-																reset();
-																try { await deleteLatestUpload(); } catch {}
-																setLoadedFromCache(false);
-																setAnalyzeResult(null);
-																setCleanResult(null);
-															}}
-														className="text-xs rounded-md border px-3 py-1.5 hover:bg-slate-50"
-													>
-														Clear
-													</button>
-													<button
-														type="button"
-														onClick={handleClean}
-														disabled={isProcessing}
-														className="text-xs rounded-md bg-green-600 text-white px-3 py-1.5 hover:bg-green-500 disabled:opacity-50 disabled:cursor-not-allowed"
-													>
-														{isProcessing ? "Processing..." : "Clean (PII)"}
-													</button>
-													<button
-														type="button"
-														onClick={handleAnalyze}
-														disabled={isProcessing}
-														className="text-xs rounded-md bg-brand-600 text-white px-3 py-1.5 hover:bg-brand-500 disabled:opacity-50 disabled:cursor-not-allowed"
-													>
-														{isProcessing ? "Processing..." : "Analyze"}
-													</button>
-												</div>
-								</div>
-							)}
-						</div>
-					</div>
-				);
-			case "bias-analysis":
-				return (
-					<div className="space-y-4">
-						<h2 className="text-xl font-semibold">Bias Analysis</h2>
-						{analyzeResult ? (
-							<div className="space-y-4">
-								<div className="grid grid-cols-2 gap-4">
-									<div className="p-4 bg-white rounded-lg border">
-										<div className="text-sm text-slate-600">Overall Bias Score</div>
-										<div className="text-2xl font-bold">{(analyzeResult.bias_metrics.overall_bias_score * 100).toFixed(1)}%</div>
-									</div>
-									<div className="p-4 bg-white rounded-lg border">
-										<div className="text-sm text-slate-600">Violations Detected</div>
-										<div className="text-2xl font-bold">{analyzeResult.bias_metrics.violations_detected.length}</div>
-									</div>
-								</div>
-								
-								<div className="p-4 bg-white rounded-lg border">
-									<h3 className="font-semibold mb-2">Model Performance</h3>
-									<div className="grid grid-cols-4 gap-2 text-sm">
-										<div>
-											<div className="text-slate-600">Accuracy</div>
-											<div className="font-medium">{(analyzeResult.model_performance.accuracy * 100).toFixed(1)}%</div>
-										</div>
-										<div>
-											<div className="text-slate-600">Precision</div>
-											<div className="font-medium">{(analyzeResult.model_performance.precision * 100).toFixed(1)}%</div>
-										</div>
-										<div>
-											<div className="text-slate-600">Recall</div>
-											<div className="font-medium">{(analyzeResult.model_performance.recall * 100).toFixed(1)}%</div>
-										</div>
-										<div>
-											<div className="text-slate-600">F1 Score</div>
-											<div className="font-medium">{(analyzeResult.model_performance.f1_score * 100).toFixed(1)}%</div>
-										</div>
-									</div>
-								</div>
-							</div>
-						) : (
-							<p className="text-sm text-slate-600">Upload and analyze a dataset to see bias metrics.</p>
-						)}
-					</div>
-				);
-			case "risk-analysis":
-				return (
-					<div className="space-y-4">
-						<h2 className="text-xl font-semibold">Risk Analysis</h2>
-						{analyzeResult ? (
-							<div className="space-y-4">
-								<div className="p-4 bg-white rounded-lg border">
-									<div className="text-sm text-slate-600">Overall Risk Score</div>
-									<div className="text-2xl font-bold">{(analyzeResult.risk_assessment.overall_risk_score * 100).toFixed(1)}%</div>
-								</div>
-								
-								{cleanResult && (
-									<div className="p-4 bg-white rounded-lg border">
-										<h3 className="font-semibold mb-2">PII Detection Results</h3>
-										<div className="text-sm space-y-1">
-											<div>Cells Anonymized: <span className="font-medium">{cleanResult.summary.total_cells_affected}</span></div>
-											<div>Columns Removed: <span className="font-medium">{cleanResult.summary.columns_removed.length}</span></div>
-											<div>Columns Anonymized: <span className="font-medium">{cleanResult.summary.columns_anonymized.length}</span></div>
-										</div>
-									</div>
-								)}
-							</div>
-						) : (
-							<p className="text-sm text-slate-600">Upload and analyze a dataset to see risk assessment.</p>
-						)}
-					</div>
-				);
-			case "bias-risk-mitigation":
-				return (
-					<div className="space-y-4">
-						<h2 className="text-xl font-semibold">Mitigation Suggestions</h2>
-						{analyzeResult && analyzeResult.recommendations.length > 0 ? (
-							<div className="space-y-2">
-								{analyzeResult.recommendations.map((rec, i) => (
-									<div key={i} className="p-3 bg-blue-50 border border-blue-200 rounded-md text-sm">
-										{rec}
-									</div>
-								))}
-							</div>
-						) : (
-							<p className="text-sm text-slate-600">
-								Recommendations will appear here after analysis.
-							</p>
-						)}
-					</div>
-				);
-			case "results":
-				return (
-					<div className="space-y-4">
-						<h2 className="text-xl font-semibold">Results Summary</h2>
-						{(analyzeResult || cleanResult) ? (
-							<div className="space-y-4">
-								{analyzeResult && (
-									<div className="p-4 bg-white rounded-lg border">
-										<h3 className="font-semibold mb-2">Analysis Results</h3>
-										<div className="text-sm space-y-1">
-											<div>Dataset: {analyzeResult.filename}</div>
-											<div>Rows: {analyzeResult.dataset_info.rows}</div>
-											<div>Columns: {analyzeResult.dataset_info.columns}</div>
-											<div>Bias Score: {(analyzeResult.bias_metrics.overall_bias_score * 100).toFixed(1)}%</div>
-											<div>Risk Score: {(analyzeResult.risk_assessment.overall_risk_score * 100).toFixed(1)}%</div>
-										</div>
-										<a
-											href={getReportUrl(analyzeResult.report_file)}
-											target="_blank"
-											rel="noopener noreferrer"
-											className="mt-3 inline-block text-sm text-brand-600 underline"
-										>
-											Download Full Report →
-										</a>
-									</div>
-								)}
-								
-								{cleanResult && (
-									<div className="p-4 bg-white rounded-lg border">
-										<h3 className="font-semibold mb-2">Cleaning Results</h3>
-										<div className="text-sm space-y-1">
-											<div>Original: {cleanResult.dataset_info.original_rows} rows × {cleanResult.dataset_info.original_columns} cols</div>
-											<div>Cleaned: {cleanResult.dataset_info.cleaned_rows} rows × {cleanResult.dataset_info.cleaned_columns} cols</div>
-											<div>Cells Anonymized: {cleanResult.summary.total_cells_affected}</div>
-											<div>Columns Removed: {cleanResult.summary.columns_removed.length}</div>
-											<div>GDPR Compliant: {cleanResult.gdpr_compliance.length} articles applied</div>
-										</div>
-										<div className="mt-3 flex gap-2">
-											<a
-												href={getReportUrl(cleanResult.files.cleaned_csv)}
-												download
-												className="text-sm text-brand-600 underline"
-											>
-												Download Cleaned CSV →
-											</a>
-											<a
-												href={getReportUrl(cleanResult.files.audit_report)}
-												target="_blank"
-												rel="noopener noreferrer"
-												className="text-sm text-brand-600 underline"
-											>
-												View Audit Report →
-											</a>
-										</div>
-									</div>
-								)}
-							</div>
-						) : (
-							<p className="text-sm text-slate-600">
-								Process a dataset to see aggregated results.
-							</p>
-						)}
-					</div>
-				);
-			default:
-				return null;
-		}
-	}
-
-		return (
-			<div className="h-full overflow-y-auto p-6 bg-white/60">
-			{renderTabContent()}
-		</div>
-	);
-}