Update app.py

app.py

@@ -467,116 +467,142 @@ def self_crawl_search(query, max_results=3):
         all_results.extend(duckduckgo_search(f"{query} 논문 학술", 2))
     return all_results
 def run_plagiarism(text, progress=gr.Progress()):
+    """✅ Gemini Google Search 90% (메인) + Brave/arXiv 10% (보조)"""
+    
     if not text or len(text.strip())<50:
         return "<div style='padding:20px;text-align:center;color:#888;'>⚠️ 최소 50자 이상</div>", ""
+    
     text = text.strip()
     sents = split_sentences(text)
     now = datetime.now().strftime("%Y-%m-%d %H:%M")
-    has_brave = bool(BRAVE_KEY)
-    has_gemini = bool(HAS_GENAI and GEMINI_KEY)
+    
     progress(0.05, "문장 분리...")
-    blocks = []
-    for i in range(0, len(sents), 4):
-        block = ' '.join(sents[i:i+4])
-        if len(block) > 20:
-            blocks.append({"text": block, "sent_indices": list(range(i, min(i+4, len(sents))))})
+    
     all_sources = []
-    sent_matches = {i: [] for i in range(len(sents))}  # 문장별 매칭 정보
-    block_results = []
     log_lines = []
-    if has_brave:
-        progress(0.15, f"Brave Search 병렬 검색 ({len(blocks)}블록)...")
-        queries = []
-        for b in blocks:
-            key_phrase = b["text"][:60].strip()
-            queries.append(f'"{key_phrase}"')
-        brave_results = parallel_brave_search(queries[:20])
-        for q, results in brave_results.items():
-            for r in results:
-                all_sources.append(r)
-                for b in blocks:
-                    if q.strip('"') in b["text"][:60]:
-                        for si in b["sent_indices"]:
-                            sent_matches[si].append({"source": r["title"], "url": r["url"], "type": "Brave"})
-        log_lines.append(f"Brave Search: {len(queries)}쿼리 → {sum(len(v) for v in brave_results.values())}건")
-    else:
-        progress(0.15, f"자체 웹 검색 ({len(blocks)}블록)...")
-        crawl_queries = []
-        for b in blocks[:10]:  # 최대 10블록
-            key_phrase = b["text"][:50].strip()
-            crawl_queries.append((key_phrase, b))
-        with ThreadPoolExecutor(max_workers=5) as executor:
-            futures = {executor.submit(self_crawl_search, q, 3): (q, b) for q, b in crawl_queries}
-            for future in as_completed(futures):
-                q, b = futures[future]
-                try:
-                    results = future.result()
-                    for r in results:
-                        all_sources.append(r)
-                        for si in b["sent_indices"]:
-                            sent_matches[si].append({"source": r["title"], "url": r["url"], "type": r.get("source","Web")})
-                except: pass
-        log_lines.append(f"자체 웹검색: {len(crawl_queries)}쿼리 (DuckDuckGo)")
-    progress(0.40, "학술 DB 검색 (KCI/RISS/arXiv)...")
-    words = split_words(text)
-    wf = Counter(words)
-    keywords = [w for w, c in wf.most_common(20) if len(w) >= 2 and c >= 2][:5]
-    kw_query = ' '.join(keywords[:3])
-    academic_results = []
-    with ThreadPoolExecutor(max_workers=3) as executor:
-        futures = [
-            executor.submit(search_kci, kw_query),
-            executor.submit(search_riss, kw_query),
-            executor.submit(search_arxiv, kw_query),
-        ]
-        for future in as_completed(futures):
-            try:
-                results = future.result()
-                academic_results.extend(results)
-                all_sources.extend(results)
-            except: pass
-    log_lines.append(f"학술DB: KCI/RISS/arXiv → {len(academic_results)}건")
-    gemini_results = []
-    if has_gemini:
-        progress(0.60, "Gemini + Google Search (전체 텍스트 검사)...")
-        # ✅ 개선: 블록 제한 제거! 전체 텍스트를 한 번에 Gemini로 검사
-        gr_result = gemini_plagiarism_check(text)
-        if gr_result:
-            gemini_results.append(gr_result)
-            for src in gr_result.get("sources", []):
-                all_sources.append(src)
-        pct = gr_result.get('pct', 0) if gr_result else 0
-        log_lines.append(f"✓ Gemini: 전체 텍스트 검사 완료 → {pct}% 유사도, {len(gr_result.get('sources',[]))}출처 발견")
-    progress(0.80, "보고서 생성...")
-    matched_sents = sum(1 for si, matches in sent_matches.items() if matches)
-    total_sents = len(sents)
     
-    # ✅ 개선: Gemini를 메인으로 (80%)
-    # Gemini가 전체 텍스트를 검사했으므로 가장 정확함
+    # ============================================
+    # 메인 (90%): Gemini Google Search
+    # ============================================
+    gemini_pct = 0
+    gemini_sources = []
     
-    if gemini_results and gemini_results[0].get("pct", 0) > 0:
-        # Gemini 결과를 메인으로 사용
-        gemini_pct = gemini_results[0]["pct"]
+    if HAS_GENAI and GEMINI_KEY:
+        progress(0.20, "Gemini + Google Search (메인 90% 표절 검사)...")
         
-        # 보조 채널 결과
-        brave_matched = sum(1 for si, matches in sent_matches.items() if matches)
-        brave_pct = int(brave_matched / max(1, total_sents) * 100)
-        academic_pct = int(len(academic_results) / max(1, total_sents) * 100)
-        helper_pct = max(brave_pct, academic_pct)  # 둘 중 높은 값
+        try:
+            client = genai.Client(api_key=GEMINI_KEY)
+            
+            prompt = f"""당신은 고급 표절 검사 전문가입니다.
+
+아래 텍스트를 Google Search로 철저히 검색하여 유사한 내용을 모두 찾으세요.
+
+[검사 텍스트]
+{text}
+
+응답 형식:
+발견된 유사 내용:
+- [제목 1] (유사도: XX%)
+- [제목 2] (유사도: XX%)
+
+최종 표절율: XX%"""
+            
+            contents = [
+                types.Content(
+                    role="user",
+                    parts=[
+                        types.Part.from_text(text=prompt),
+                    ],
+                )
+            ]
+            
+            tools = [
+                types.Tool(googleSearch=types.GoogleSearch()),
+            ]
+            
+            config = types.GenerateContentConfig(
+                thinking_config=types.ThinkingConfig(thinking_budget=0),
+                tools=tools,
+                temperature=0.3,
+                max_output_tokens=3000,
+            )
+            
+            # 스트리밍으로 수집
+            full_response = ""
+            for chunk in client.models.generate_content_stream(
+                model="gemini-2.0-flash-lite-latest",
+                contents=contents,
+                config=config,
+            ):
+                if chunk.text:
+                    full_response += chunk.text
+            
+            # 유사도 추출
+            pm = re.search(r'(?:표절|유사도)[:\s]*(\d+)', full_response)
+            if pm:
+                gemini_pct = int(pm.group(1))
+            
+            # 출처 추출
+            for m in re.finditer(r'https?://[^\s\)]+', full_response):
+                url = m.group(0)
+                if len(url) > 10:
+                    gemini_sources.append({
+                        "title": url.split('/')[2] if '/' in url else url,
+                        "url": url,
+                        "source": "Google",
+                    })
+                    all_sources.append({
+                        "title": url.split('/')[2] if '/' in url else url,
+                        "url": url,
+                        "source": "Google",
+                    })
+            
+            log_lines.append(f"✅ Gemini: {gemini_pct}% → {len(gemini_sources)}개 출처")
+            
+        except Exception as e:
+            log_lines.append(f"⚠️ Gemini: {str(e)[:80]}")
+    
+    # ============================================
+    # 보조 (10%): Brave + arXiv
+    # ============================================
+    brave_pct = 0
+    arxiv_pct = 0
+    
+    progress(0.60, "보조 검사 (Brave + arXiv)...")
+    
+    try:
+        if BRAVE_KEY:
+            words = split_words(text)
+            key_query = ' '.join(words[:5])
+            brave_results = brave_search(key_query, 3)
+            if brave_results:
+                brave_pct = 30
+                all_sources.extend(brave_results)
+            log_lines.append(f"Brave: {len(brave_results)}건")
         
-        # Gemini 80% + 보조 채널 20%
-        if helper_pct > 0:
-            plag_pct = int(gemini_pct * 0.8 + helper_pct * 0.2)
-        else:
-            plag_pct = gemini_pct
-    else:
-        # Gemini 없으면 Brave + 학술DB
-        plag_pct = int(matched_sents / total_sents * 100) if total_sents > 0 else 0
-        if academic_results and plag_pct == 0:
-            plag_pct = int(len(academic_results) / max(1, total_sents) * 100)
-        elif academic_results and plag_pct > 0:
-            academic_pct = int(len(academic_results) / max(1, total_sents) * 100)
-            plag_pct = int(plag_pct * 0.6 + academic_pct * 0.4)
+        words = split_words(text)
+        wf = Counter(words)
+        keywords = [w for w, c in wf.most_common(10) if len(w) >= 3][:3]
+        arxiv_results = search_arxiv(' '.join(keywords))
+        if arxiv_results:
+            arxiv_pct = 20
+            all_sources.extend(arxiv_results)
+        log_lines.append(f"arXiv: {len(arxiv_results)}건")
+    except:
+        pass
+    
+    # ============================================
+    # 최종: Gemini 90% + 보조 10%
+    # ============================================
+    progress(0.80, "보고서 생성...")
+    
+    helper_pct = max(brave_pct, arxiv_pct)
+    plag_pct = int(gemini_pct * 0.9 + helper_pct * 0.1) if gemini_pct > 0 else helper_pct
+    
+    # ============================================
+    # HTML 보고서
+    # ============================================
+    
     seen_urls = set()
     unique_sources = []
     for s in all_sources:
@@ -584,254 +610,79 @@ def run_plagiarism(text, progress=gr.Progress()):
         if url and url not in seen_urls:
             seen_urls.add(url)
             unique_sources.append(s)
-    if plag_pct >= 50: grade, grade_color, grade_bg = "표절 의심", "#FF4444", "#FFE0E0"
-    elif plag_pct >= 30: grade, grade_color, grade_bg = "주의 필요", "#FF8800", "#FFF0DD"
-    elif plag_pct >= 15: grade, grade_color, grade_bg = "유사 표현 일부", "#DDAA00", "#FFFBE0"
-    elif plag_pct >= 5: grade, grade_color, grade_bg = "양호", "#4ECDC4", "#E0FFF8"
-    else: grade, grade_color, grade_bg = "우수 (원본성 높음)", "#22AA44", "#E0FFE8"
-    sent_analysis = []
-    for i, s in enumerate(sents):
-        matches = sent_matches.get(i, [])
-        if matches:
-            best = matches[0]
-            sent_analysis.append({"idx":i, "text":s, "matched":True, "source":best.get("source","")[:40], "url":best.get("url",""), "type":best.get("type","")})
-        else:
-            sent_analysis.append({"idx":i, "text":s, "matched":False})
-    sim_sents = [s for s in sent_analysis if s["matched"]]
-    src_groups = {}
-    for src in unique_sources:
-        key = src.get("url","")[:80]
-        if key not in src_groups:
-            src_groups[key] = {"title":src.get("title",""), "url":src.get("url",""), "source":src.get("source",""), "count":0}
-        src_groups[key]["count"] += 1
-    src_list = sorted(src_groups.values(), key=lambda x: -x["count"])
-    methods_used = []
-    if has_brave: methods_used.append("Brave Search(병렬)")
-    elif all_sources: methods_used.append("DuckDuckGo(자체크롤링)")
-    methods_used.append("KCI · RISS · arXiv")
-    if has_gemini: methods_used.append("Gemini+Google Search")
-    method_str = " + ".join(methods_used)
-    gc = grade_color
+    
+    if plag_pct >= 50: grade, gc = "표절 의심", "#FF4444"
+    elif plag_pct >= 30: grade, gc = "주의 필요", "#FF8800"
+    elif plag_pct >= 15: grade, gc = "유사 표현 일부", "#DDAA00"
+    elif plag_pct >= 5: grade, gc = "양호", "#4ECDC4"
+    else: grade, gc = "우수", "#22AA44"
+    
     word_count = len(split_words(text))
     char_count = len(text)
     doc_id = hashlib.md5(text[:100].encode()).hexdigest()[:8].upper()
-    similarity_pct = plag_pct
-    citation_pct = 0
-    cat_suspect = len(sim_sents)  # 의심
-    cat_cited = 0                  # 인용 (형식적 인용 감지)
-    cat_normal = total_sents - cat_suspect - cat_cited  # 일반
-    cat_suspect_pct = int(cat_suspect / max(1, total_sents) * 100)
-    cat_normal_pct = 100 - cat_suspect_pct
-    def src_icon(s):
-        src = s.get("source","").lower()
-        if "kci" in src: return "📚", "KCI"
-        if "riss" in src: return "📖", "RISS"
-        if "arxiv" in src: return "📄", "arXiv"
-        if "google" in src: return "🔍", "Google"
-        if "brave" in src: return "🌐", "Brave"
-        return "🌐", "Web"
+    
     src_rows = ""
-    for i, sg in enumerate(src_list[:15]):
-        pct = min(100, int(sg["count"] / max(1, total_sents) * 100 * 3))
-        ico, stype = src_icon(sg)
-        title_short = sg["title"][:50] or "(제목 없음)"
-        url_short = sg["url"][:60]
+    for i, s in enumerate(unique_sources[:15]):
+        ico = "🔍" if "google" in s.get("source","").lower() else "🌐"
         src_rows += f"""<tr>
-          <td style="padding:6px 8px;font-size:11px;text-align:center;border:1px solid #D5D5D5;color:#555;">{i+1}</td>
-          <td style="padding:6px 8px;font-size:11px;text-align:center;border:1px solid #D5D5D5;"><span style="font-size:14px;">{ico}</span><br><span style="font-size:9px;color:#666;">{stype}</span></td>
-          <td style="padding:6px 8px;border:1px solid #D5D5D5;"><div style="font-size:11px;font-weight:600;color:#1A3C6E;margin-bottom:2px;">{title_short}</div><div style="font-size:9px;color:#888;word-break:break-all;">{url_short}</div></td>
-          <td style="padding:6px 8px;font-size:12px;text-align:center;border:1px solid #D5D5D5;font-weight:800;color:#D63031;">{pct}%</td>
-          <td style="padding:6px 10px;border:1px solid #D5D5D5;"><div style="background:#EDEDED;height:14px;border-radius:2px;overflow:hidden;"><div style="background:linear-gradient(90deg,#D63031,#FF7675);height:100%;width:{max(3,pct)}%;border-radius:2px;"></div></div></td>
-        </tr>"""
-    suspect_rows = ""
-    for i, sa in enumerate(sim_sents[:15]):
-        suspect_rows += f"""<tr>
-          <td style="padding:8px;font-size:11px;text-align:center;color:#888;border:1px solid #D5D5D5;vertical-align:top;">{i+1}</td>
-          <td style="padding:8px;font-size:11px;line-height:1.7;border:1px solid #D5D5D5;vertical-align:top;"><span style="background:#FFF3CD;border-bottom:2px solid #FFD43B;padding:1px 3px;">{sa["text"][:90]}</span></td>
-          <td style="padding:8px;font-size:10px;line-height:1.6;border:1px solid #D5D5D5;vertical-align:top;color:#555;"><span style="background:#FFE0E0;border-bottom:2px solid #E74C3C;padding:1px 3px;">{sa["text"][:70]}...</span></td>
-          <td style="padding:8px;font-size:10px;border:1px solid #D5D5D5;vertical-align:top;"><a href="{sa.get('url','#')}" target="_blank" style="color:#2E86C1;text-decoration:none;font-weight:600;">{sa["source"][:28]}</a><br><span style="font-size:8px;color:#AAA;">{sa.get('type','')}</span></td>
+          <td style="padding:6px 8px;font-size:11px;text-align:center;border:1px solid #D5D5D5;">{i+1}</td>
+          <td style="padding:6px 8px;font-size:11px;text-align:center;border:1px solid #D5D5D5;">{ico}</td>
+          <td style="padding:6px 8px;border:1px solid #D5D5D5;font-size:11px;color:#1A3C6E;"><strong>{s['title'][:40]}</strong></td>
+          <td style="padding:6px 8px;border:1px solid #D5D5D5;font-size:9px;color:#666;word-break:break-all;">{s['url'][:50]}</td>
         </tr>"""
-    full_hl = ""
-    for sa in sent_analysis:
-        sidx = sa["idx"] + 1
-        if sa["matched"]:
-            full_hl += f'<span style="background:#FFD6D6;border-bottom:2px solid #E74C3C;padding:1px 2px;cursor:pointer;" title="[의심 #{sidx}] 출처: {sa.get("source","")}">{sa["text"]}</span> '
-        else:
-            full_hl += f'<span style="color:#333;">{sa["text"]}</span> '
-    bar_suspect_w = max(2, cat_suspect_pct) if cat_suspect > 0 else 0
-    bar_normal_w = 100 - bar_suspect_w
-    HDR_BG = '#3B7DD8'
-    HDR_BG2 = '#4A8DE0'
-    TH = 'padding:8px 10px;font-size:10px;font-weight:700;color:#fff;background:{};text-align:center;border:1px solid {};'.format(HDR_BG, HDR_BG)
-    TL = 'padding:7px 10px;font-size:11px;color:#444;font-weight:600;background:#EDF2FA;border:1px solid #D5D5D5;'
+    
+    HDR = '#3B7DD8'
+    TL = f'padding:7px 10px;font-size:11px;color:#444;font-weight:600;background:#EDF2FA;border:1px solid #D5D5D5;'
     TV = 'padding:7px 10px;font-size:12px;color:#333;border:1px solid #D5D5D5;'
-    SEC = 'font-size:13px;font-weight:800;color:#1A3C6E;margin:0 0 10px 0;padding:8px 12px;background:#EDF2FA;border-left:4px solid {};border-bottom:1px solid #D5D5D5;'.format(HDR_BG)
-    html = f"""<div style="font-family:'Noto Sans KR','Malgun Gothic','Apple SD Gothic Neo',sans-serif;max-width:780px;margin:0 auto;background:#fff;border:2px solid #3B7DD8;box-shadow:0 2px 12px rgba(0,0,0,0.08);">
-    <!-- ═══════ 헤더 (CopyKiller 스타일) ═══════ -->
-    <div style="background:linear-gradient(135deg,{HDR_BG},{HDR_BG2});padding:18px 24px;color:#fff;">
-      <table style="width:100%;"><tr>
-        <td>
-          <div style="font-size:10px;opacity:0.8;letter-spacing:1px;margin-bottom:4px;">AI TEXT DETECTOR · PLAGIARISM REPORT</div>
-          <div style="font-size:22px;font-weight:900;letter-spacing:-0.5px;">표절 검사 결과 확인서</div>
-        </td>
-        <td style="text-align:right;vertical-align:bottom;">
-          <div style="font-size:10px;opacity:0.7;">문서번호 {doc_id}</div>
-          <div style="font-size:10px;opacity:0.7;">{now}</div>
-        </td>
-      </tr></table>
-    </div>
-    <!-- ═══════ 제출 정보 테이블 ═══════ -->
-    <div style="padding:16px 24px 0;">
-      <div style="{SEC}">📋 검사 정보</div>
-      <table style="width:100%;border-collapse:collapse;">
-        <tr>
-          <td style="{TL}width:90px;">검사 일시</td>
-          <td style="{TV}">{now}</td>
-          <td style="{TL}width:90px;">문서번호</td>
-          <td style="{TV}">{doc_id}</td>
-        </tr>
-        <tr>
-          <td style="{TL}">검사 방법</td>
-          <td style="{TV}font-size:10px;" colspan="3">{method_str}</td>
-        </tr>
-        <tr>
-          <td style="{TL}">전체 분량</td>
-          <td style="{TV}" colspan="3">글자수 <b>{char_count:,}</b> · 어절수 <b>{word_count:,}</b> · 문장수 <b>{total_sents}</b></td>
-        </tr>
-        <tr>
-          <td style="{TL}">검색 범위</td>
-          <td style="{TV}" colspan="3">인터넷(웹), 학술논문(KCI·RISS), 해외논문(arXiv), Google Scholar</td>
-        </tr>
-      </table>
+    
+    html = f"""<div style="font-family:'Noto Sans KR',sans-serif;max-width:780px;margin:0 auto;background:#fff;border:2px solid {HDR};box-shadow:0 2px 12px rgba(0,0,0,0.08);">
+    <div style="background:linear-gradient(135deg,{HDR},#4A8DE0);padding:18px 24px;color:#fff;">
+      <div style="font-size:22px;font-weight:900;">표절 검사 결과</div>
+      <div style="font-size:10px;opacity:0.8;">문서: {doc_id} | {now}</div>
     </div>
-    <!-- ═══════ 검사 결과 (도넛 + 바) ═══════ -->
     <div style="padding:18px 24px 0;">
-      <div style="{SEC}">📊 검사 결과</div>
       <table style="width:100%;border-collapse:collapse;">
         <tr>
-          <!-- 도넛 차트 -->
-          <td style="width:200px;padding:20px;text-align:center;border:1px solid #D5D5D5;vertical-align:middle;background:#FAFBFE;">
-            <div style="position:relative;width:140px;height:140px;margin:0 auto;">
-              <svg viewBox="0 0 36 36" style="width:140px;height:140px;transform:rotate(-90deg);">
-                <circle cx="18" cy="18" r="15.9" fill="none" stroke="#E8ECF0" stroke-width="2.8"/>
-                <circle cx="18" cy="18" r="15.9" fill="none" stroke="{gc}" stroke-width="2.8" stroke-dasharray="{plag_pct} {100-plag_pct}" stroke-linecap="round"/>
-              </svg>
-              <div style="position:absolute;top:50%;left:50%;transform:translate(-50%,-50%);text-align:center;">
-                <div style="font-size:9px;color:#888;margin-bottom:2px;">표절률</div>
-                <div style="font-size:32px;font-weight:900;color:{gc};line-height:1;">{plag_pct}<span style="font-size:14px;font-weight:700;">%</span></div>
-              </div>
-            </div>
-            <div style="margin-top:8px;padding:4px 12px;background:{grade_bg};border:1px solid {gc};border-radius:20px;display:inline-block;">
-              <span style="font-size:11px;font-weight:800;color:{gc};">{grade}</span>
-            </div>
+          <td style="width:200px;padding:20px;text-align:center;border:1px solid #D5D5D5;background:#FAFBFE;">
+            <div style="font-size:48px;font-weight:900;color:{gc};">{plag_pct}%</div>
+            <div style="font-size:12px;color:#666;margin-top:4px;">표절율</div>
           </td>
-          <!-- 상세 결과 -->
-          <td style="padding:0;border:1px solid #D5D5D5;vertical-align:top;">
-            <!-- 카테고리 바 (CopyKiller 핵심) -->
-            <div style="padding:14px 18px;border-bottom:1px solid #E8E8E8;">
-              <div style="display:flex;height:28px;border-radius:4px;overflow:hidden;border:1px solid #D0D0D0;margin-bottom:8px;">
-                <div style="background:#E74C3C;width:{bar_suspect_w}%;"></div>
-                <div style="background:#E8ECF0;width:{bar_normal_w}%;"></div>
-              </div>
-              <div style="display:flex;gap:14px;flex-wrap:wrap;font-size:9px;">
-                <span style="display:flex;align-items:center;gap:3px;"><span style="display:inline-block;width:10px;height:10px;background:#E74C3C;border-radius:2px;"></span> 의심 <b>{cat_suspect}</b>건</span>
-                <span style="display:flex;align-items:center;gap:3px;"><span style="display:inline-block;width:10px;height:10px;background:#F39C12;border-radius:2px;"></span> 출처표시 <b>0</b>건</span>
-                <span style="display:flex;align-items:center;gap:3px;"><span style="display:inline-block;width:10px;height:10px;background:#3498DB;border-radius:2px;"></span> 인용 <b>{cat_cited}</b>건</span>
-                <span style="display:flex;align-items:center;gap:3px;"><span style="display:inline-block;width:10px;height:10px;background:#E8ECF0;border:1px solid #CCC;border-radius:2px;"></span> 일반 <b>{cat_normal}</b>건</span>
-              </div>
-            </div>
-            <!-- 비율 바 3줄 -->
-            <div style="padding:12px 18px;">
-              <div style="margin-bottom:10px;">
-                <div style="display:flex;justify-content:space-between;margin-bottom:4px;"><span style="font-size:11px;font-weight:700;color:#E74C3C;">■ 표절률</span><span style="font-size:18px;font-weight:900;color:#E74C3C;">{plag_pct}%</span></div>
-                <div style="background:#EDEDED;height:16px;border-radius:3px;overflow:hidden;border:1px solid #DDD;"><div style="background:linear-gradient(90deg,#E74C3C,#FF7675);height:100%;width:{max(1,plag_pct)}%;transition:width 0.5s;"></div></div>
-              </div>
-              <div style="margin-bottom:10px;">
-                <div style="display:flex;justify-content:space-between;margin-bottom:4px;"><span style="font-size:11px;font-weight:700;color:#F39C12;">■ 유사율</span><span style="font-size:18px;font-weight:900;color:#F39C12;">{similarity_pct}%</span></div>
-                <div style="background:#EDEDED;height:16px;border-radius:3px;overflow:hidden;border:1px solid #DDD;"><div style="background:linear-gradient(90deg,#F39C12,#FFEAA7);height:100%;width:{max(1,similarity_pct)}%;transition:width 0.5s;"></div></div>
-              </div>
-              <div>
-                <div style="display:flex;justify-content:space-between;margin-bottom:4px;"><span style="font-size:11px;font-weight:700;color:#3498DB;">■ 인용률</span><span style="font-size:18px;font-weight:900;color:#3498DB;">{citation_pct}%</span></div>
-                <div style="background:#EDEDED;height:16px;border-radius:3px;overflow:hidden;border:1px solid #DDD;"><div style="background:linear-gradient(90deg,#3498DB,#85C1E9);height:100%;width:{max(1,citation_pct)}%;transition:width 0.5s;"></div></div>
-              </div>
-            </div>
-            <!-- 요약 수치 -->
-            <div style="padding:8px 18px;background:#F8F9FB;border-top:1px solid #E8E8E8;">
-              <table style="width:100%;border-collapse:collapse;">
-                <tr>
-                  <td style="padding:4px;font-size:10px;color:#888;">의심문장</td>
-                  <td style="padding:4px;font-size:12px;font-weight:800;color:#E74C3C;">{cat_suspect}건</td>
-                  <td style="padding:4px;font-size:10px;color:#888;">일반문장</td>
-                  <td style="padding:4px;font-size:12px;font-weight:800;color:#27AE60;">{cat_normal}건</td>
-                  <td style="padding:4px;font-size:10px;color:#888;">전체</td>
-                  <td style="padding:4px;font-size:12px;font-weight:800;color:#333;">{total_sents}건</td>
-                </tr>
-              </table>
+          <td style="padding:20px;border:1px solid #D5D5D5;">
+            <div style="font-size:16px;font-weight:900;color:{gc};margin-bottom:12px;">{grade}</div>
+            <div style="font-size:11px;color:#666;line-height:1.8;">
+              <div>글자수: <b>{char_count:,}</b></div>
+              <div>단어수: <b>{word_count:,}</b></div>
+              <div>출처: <b>{len(unique_sources)}</b>개</div>
             </div>
           </td>
         </tr>
       </table>
     </div>
-    <!-- ═══════ 전체 텍스트 분석 ═══════ -->
-    <div style="padding:18px 24px 0;">
-      <div style="{SEC}">📝 전체 텍스트 분석</div>
-      <div style="display:flex;gap:16px;margin-bottom:8px;font-size:9px;padding:6px 10px;background:#F8F9FB;border:1px solid #E8E8E8;border-radius:4px;">
-        <span style="display:flex;align-items:center;gap:4px;"><span style="display:inline-block;width:12px;height:12px;background:#E74C3C;border-radius:2px;"></span> 표절 의심</span>
-        <span style="display:flex;align-items:center;gap:4px;"><span style="display:inline-block;width:12px;height:12px;background:#F39C12;border-radius:2px;"></span> 출처표시</span>
-        <span style="display:flex;align-items:center;gap:4px;"><span style="display:inline-block;width:12px;height:12px;background:#3498DB;border-radius:2px;"></span> 인용</span>
-        <span style="display:flex;align-items:center;gap:4px;"><span style="display:inline-block;width:12px;height:12px;background:#27AE60;border-radius:2px;"></span> 자기표절</span>
-        <span style="display:flex;align-items:center;gap:4px;"><span style="display:inline-block;width:12px;height:12px;background:#fff;border:1px solid #CCC;border-radius:2px;"></span> 일반</span>
-      </div>
-      <div style="padding:14px;background:#FAFBFC;border:1px solid #D5D5D5;line-height:2.1;font-size:13px;max-height:300px;overflow-y:auto;">{full_hl}</div>
-    </div>
-    <!-- ═══════ 표절 의심 출처 ═══════ -->
-    <div style="padding:18px 24px 0;">
-      <div style="{SEC}">🔗 표절 의심 출처 ({len(src_list)}건)</div>
-      <table style="width:100%;border-collapse:collapse;">
-        <tr>
-          <th style="{TH}width:32px;">No</th>
-          <th style="{TH}width:48px;">유형</th>
-          <th style="{TH}">출처명 / URL</th>
-          <th style="{TH}width:55px;">유사율</th>
-          <th style="{TH}width:100px;">분포</th>
-        </tr>
-        {src_rows if src_rows else '<tr><td colspan="5" style="padding:18px;text-align:center;color:#999;font-size:11px;border:1px solid #D5D5D5;background:#FAFBFC;">발견된 유사 출처가 없습니다.</td></tr>'}
-      </table>
-    </div>
-    <!-- ═══════ 의심 문장 비교 ═══════ -->
-    <div style="padding:18px 24px 0;">
-      <div style="{SEC}">⚠️ 의심 문장 비교 ({len(sim_sents)}건)</div>
-      <table style="width:100%;border-collapse:collapse;">
-        <tr>
-          <th style="{TH}width:32px;">No</th>
-          <th style="{TH}width:38%;">검사 문장 (원문)</th>
-          <th style="{TH}width:34%;">비교 문장 (출처)</th>
-          <th style="{TH}">출처</th>
-        </tr>
-        {suspect_rows if suspect_rows else '<tr><td colspan="4" style="padding:18px;text-align:center;color:#999;font-size:11px;border:1px solid #D5D5D5;background:#FAFBFC;">유사 의심 문장이 발견되지 않았습니다.</td></tr>'}
+    <div style="padding:16px 24px;">
+      <div style="font-size:13px;font-weight:800;color:#1A3C6E;margin-bottom:10px;padding-bottom:8px;border-bottom:2px solid {HDR};">🔍 발견된 출처</div>
+      <table style="width:100%;border-collapse:collapse;font-size:10px;">
+        <thead>
+          <tr style="background:{HDR};color:white;">
+            <th style="padding:8px;border:1px solid #D5D5D5;width:30px;">순위</th>
+            <th style="padding:8px;border:1px solid #D5D5D5;width:30px;">출처</th>
+            <th style="padding:8px;border:1px solid #D5D5D5;">제목</th>
+            <th style="padding:8px;border:1px solid #D5D5D5;">URL</th>
+          </tr>
+        </thead>
+        <tbody>
+          {src_rows if src_rows else '<tr><td colspan="4" style="padding:16px;text-align:center;color:#999;">발견된 출처 없음</td></tr>'}
+        </tbody>
       </table>
     </div>
-    <!-- ═══════ 검사 안내 ═══════ -->
-    <div style="margin:18px 24px;padding:12px 14px;background:#F5F8FC;border:1px solid #D0DAEA;border-radius:4px;font-size:9px;color:#555;line-height:1.8;">
-      <b style="color:#333;">📌 검사 안내</b><br>
-      · 본 보고서는 <b>{method_str}</b> 기반 자동 표절 검사 결과입니다.<br>
-      · 검색 범위: 인터넷 웹페이지, 학술논문(KCI, RISS), 해외논문(arXiv)<br>
-      · 유사도는 문장 단위 매칭 기반이며, 최종 판정은 ���수자/검토자의 확인이 필요합니다.<br>
-      · 인용 표기(따옴표, 각주 등)가 포함된 문장은 인용으로 분류될 수 있습니다.
-    </div>
-    <!-- ═══════ 푸터 (CopyKiller 스타일) ═══════ -->
-    <div style="padding:10px 24px;background:#F0F3F8;border-top:2px solid {HDR_BG};display:flex;justify-content:space-between;align-items:center;">
-      <div>
-        <span style="font-size:13px;font-weight:900;color:{HDR_BG};">AI Detector</span>
-        <span style="font-size:9px;color:#999;margin-left:6px;">Plagiarism Checker v3.5</span>
-      </div>
-      <div style="text-align:right;">
-        <div style="font-size:9px;color:#AAA;">Powered by Brave · KCI · RISS · arXiv · Gemini</div>
-        <div style="font-size:8px;color:#CCC;">{now} · ID: {doc_id} · All Rights Reserved.</div>
-      </div>
+    <div style="padding:16px 24px;background:#FFF8E1;border-top:1px solid #D5D5D5;font-size:10px;color:#666;line-height:1.6;">
+      <strong>분석:</strong> <strong style="color:#D63031;">Gemini Google Search 90% (메인)</strong> + Brave/arXiv 10% (보조)<br>
+      <strong>방법:</strong> Gemini의 AI 분석 + Google Search Grounding으로 실시간 웹 검색
     </div>
     </div>"""
-    log = '\n'.join(log_lines) + f"\n\n종합: {plag_pct}% {grade} | 출처 {len(unique_sources)}건 | 유사문장 {matched_sents}/{total_sents}"
+    
+    log = "\n".join(log_lines)
+    progress(0.95, "완료...")
+    
     return html, log
 def run_detection(text, progress=gr.Progress()):
     if not text or len(text.strip())<50: return "<div style='padding:20px;text-align:center;color:#888;'>⚠️ 최소 50자</div>",""