sync from 029f8ff

README.md

@@ -3,8 +3,8 @@ title: DartLab
 emoji: 📊
 colorFrom: red
 colorTo: yellow
-sdk: gradio
-sdk_version: "6.10.0"
+sdk: streamlit
+sdk_version: "1.45.1"
 app_file: app.py
 pinned: true
 license: mit

app.py

@@ -1,517 +1,422 @@
-"""DartLab Gradio Demo — DART/EDGAR 공시 분석."""
+"""DartLab Streamlit Demo — DART/EDGAR 공시 분석."""
 
 from __future__ import annotations
 
 import gc
 import os
 import re
-import threading
 from collections import OrderedDict
 
-import gradio as gr
 import pandas as pd
+import streamlit as st
 
 import dartlab
 
 # ── 설정 ──────────────────────────────────────────────
 
 _MAX_CACHE = 2
-_companyCache: OrderedDict = OrderedDict()
-_HAS_AI = bool(os.environ.get("OPENAI_API_KEY"))
-
-if _HAS_AI:
-    dartlab.llm.configure(provider="openai", api_key=os.environ["OPENAI_API_KEY"])
-
 _LOGO_URL = "https://raw.githubusercontent.com/eddmpython/dartlab/master/.github/assets/logo.png"
 _BLOG_URL = "https://eddmpython.github.io/dartlab/blog/dartlab-easy-start/"
 _DOCS_URL = "https://eddmpython.github.io/dartlab/docs/getting-started/quickstart"
 _COLAB_URL = "https://colab.research.google.com/github/eddmpython/dartlab/blob/master/notebooks/showcase/01_quickstart.ipynb"
 _REPO_URL = "https://github.com/eddmpython/dartlab"
 
+# ── 페이지 설정 ──────────────────────────────────────
 
-# ── 유틸 ──────────────────────────────────────────────
-
-
-def _toPandas(df):
-    """Polars/pandas DataFrame → pandas 변환."""
-    if df is None:
-        return None
-    if hasattr(df, "to_pandas"):
-        return df.to_pandas()
-    return df
-
-
-def _formatNumbers(df):
-    """숫자 컬럼에 천단위 구분자 적용, 소수점 있으면 소수 2자리."""
-    if df is None or not isinstance(df, pd.DataFrame) or df.empty:
-        return df
-    result = df.copy()
-    for col in result.columns:
-        if pd.api.types.is_numeric_dtype(result[col]):
-            result[col] = result[col].apply(
-                lambda x: _fmtNum(x) if pd.notna(x) else ""
-            )
-    return result
-
-
-def _fmtNum(x):
-    """숫자 → 천단위 구분자 문자열."""
-    if x != x:  # NaN
-        return ""
-    if isinstance(x, float):
-        if x == int(x):
-            return f"{int(x):,}"
-        return f"{x:,.2f}"
-    return f"{int(x):,}"
-
-
-def _getCompany(code: str):
-    """캐시된 Company 반환, 최대 2개 유지."""
-    code = code.strip()
-    if code in _companyCache:
-        _companyCache.move_to_end(code)
-        return _companyCache[code]
-    while len(_companyCache) >= _MAX_CACHE:
-        _companyCache.popitem(last=False)
-        gc.collect()
-    c = dartlab.Company(code)
-    _companyCache[code] = c
-    return c
-
-
-# ── 프리로드 ──────────────────────────────────────────
-
-
-def _warmup():
-    """백그라운드 listing 캐시 워밍업."""
-    try:
-        dartlab.search("삼성전자")
-    except Exception:
-        pass
-
-
-threading.Thread(target=_warmup, daemon=True).start()
-
-
-# ── 핸들러: 통합 분석 ────────────────────────────────
-
-
-def handleAnalyze(query: str):
-    """종목코드 또는 회사명 → 기업정보 + 재무제표 + topics."""
-    empty = ("", "", None, gr.update(choices=[], value=None), None, "")
-
-    if not query or not query.strip():
-        return ("⚠️ 종목코드 또는 회사명을 입력하세요.", *empty[1:])
-
-    query = query.strip()
-
-    # 종목코드 판별: 6자리 숫자 또는 영문 티커
-    if re.match(r"^\d{6}$", query) or re.match(r"^[A-Z]{1,5}$", query):
-        code = query
-    else:
-        try:
-            results = dartlab.search(query)
-            if results is None or len(results) == 0:
-                return (
-                    f"⚠️ '{query}' 검색 결과가 없습니다.\n\n종목코드(예: 005930)나 티커(예: AAPL)를 직접 입력해보세요.",
-                    *empty[1:],
-                )
-            code = str(results[0, "stockCode"])
-        except Exception as e:
-            return (f"⚠️ 검색 실패: {e}", *empty[1:])
-
-    try:
-        c = _getCompany(code)
-    except Exception as e:
-        return (f"⚠️ 기업 로드 실패: {e}", *empty[1:])
-
-    # 기본정보 — 카드 스타일
-    info = f"### 🏢 {c.corpName}\n"
-    info += f"| 항목 | 값 |\n|---|---|\n"
-    info += f"| **종목코드** | `{c.stockCode}` |\n"
-    info += f"| **시장** | {c.market} |\n"
-    if hasattr(c, "currency") and c.currency:
-        info += f"| **통화** | {c.currency} |\n"
-
-    # topics
-    topics = []
-    try:
-        topics = list(c.topics) if c.topics else []
-    except Exception:
-        pass
-
-    # IS 기본 로드
-    finance = None
-    try:
-        raw = _toPandas(c.IS)
-        finance = _formatNumbers(raw)
-    except Exception:
-        pass
-
-    topicUpdate = gr.update(
-        choices=topics,
-        value=topics[0] if topics else None,
-    )
-
-    return info, code, finance, topicUpdate, None, ""
-
-
-def handleFinance(code: str, sheet: str):
-    """재무제표 시트 전환."""
-    if not code or not code.strip():
-        return None
-    try:
-        c = _getCompany(code)
-    except Exception:
-        return None
-
-    lookup = {"IS": "IS", "BS": "BS", "CF": "CF", "ratios": "ratios"}
-    attr = lookup.get(sheet, "IS")
-    try:
-        result = getattr(c, attr, None)
-        raw = _toPandas(result)
-        return _formatNumbers(raw)
-    except Exception:
-        return None
-
-
-def handleShow(code: str, topic: str):
-    """sections show → DataFrame 또는 Markdown."""
-    if not code or not topic:
-        return None, ""
-    try:
-        c = _getCompany(code)
-        result = c.show(topic)
-    except Exception as e:
-        return None, f"⚠️ 조회 실패: {e}"
-
-    if result is None:
-        return None, "데이터 없음"
-    if hasattr(result, "to_pandas"):
-        raw = _toPandas(result)
-        return _formatNumbers(raw), ""
-    return None, str(result)
-
-
-# ── 핸들러: AI Chat ───────────────────────────────────
-
-
-def handleChat(message: str, history: list, code: str):
-    """AI 분석 대화."""
-    if not _HAS_AI:
-        history = history + [
-            {"role": "user", "content": message},
-            {
-                "role": "assistant",
-                "content": "⚠️ OPENAI_API_KEY가 설정되지 않았습니다.\n\nHuggingFace Spaces Settings → Variables and secrets에서 설정하세요.",
-            },
-        ]
-        return history, ""
-
-    stockCode = code.strip() if code else None
-    if not stockCode:
-        history = history + [
-            {"role": "user", "content": message},
-            {"role": "assistant", "content": "⚠️ 먼저 상단에서 종목을 분석하세요."},
-        ]
-        return history, ""
-
-    try:
-        query = f"{stockCode} {message}" if stockCode else message
-        answer = dartlab.ask(query, stream=False, raw=False)
-    except Exception as e:
-        answer = f"분석 실패: {e}"
-
-    history = history + [
-        {"role": "user", "content": message},
-        {"role": "assistant", "content": answer if answer else "응답 없음"},
-    ]
-    return history, ""
-
+st.set_page_config(
+    page_title="DartLab — 종목코드 하나로 기업 분석",
+    page_icon="📊",
+    layout="centered",
+)
 
-# ── UI ────────────────────────────────────────────────
+# ── 커스텀 CSS ────────────────────────────────────────
 
-_CSS = """
-/* ── dartlab 다크 테마 ── */
-.gradio-container {
-    background: #0a0d16 !important;
-    max-width: 880px !important;
-    margin: 0 auto !important;
+st.markdown("""
+<style>
+/* 다크 브랜딩 */
+[data-testid="stAppViewContainer"] {
+    background: #0a0d16;
+}
+[data-testid="stHeader"] {
+    background: #0a0d16;
+}
+[data-testid="stSidebar"] {
+    background: #0f1219;
 }
 
 /* 헤더 */
 .dl-header {
     text-align: center;
-    padding: 2rem 0 1rem;
+    padding: 1.5rem 0 1rem;
 }
 .dl-header img {
-    display: inline-block;
     border-radius: 50%;
     box-shadow: 0 0 40px rgba(234,70,71,0.3);
 }
 .dl-header h1 {
-    color: #ea4647 !important;
-    font-size: 2.4rem !important;
-    margin: 0.6rem 0 0.2rem !important;
-    font-weight: 800 !important;
+    color: #ea4647;
+    font-size: 2.4rem;
+    font-weight: 800;
+    margin: 0.5rem 0 0.15rem;
     letter-spacing: -0.02em;
 }
 .dl-header .tagline {
     color: #94a3b8;
     font-size: 1.05rem;
-    margin: 0 0 0.3rem;
+    margin: 0;
 }
 .dl-header .sub {
     color: #64748b;
     font-size: 0.85rem;
-    margin: 0;
+    margin: 0.2rem 0 0;
 }
 
-/* 섹션 라벨 */
+/* 섹션 제목 */
 .dl-section {
-    color: #ea4647 !important;
-    font-weight: 700 !important;
-    font-size: 1.05rem !important;
-    margin: 1.2rem 0 0.4rem !important;
-    border-bottom: 1px solid #1e2433;
-    padding-bottom: 0.3rem;
+    color: #ea4647;
+    font-weight: 700;
+    font-size: 1.15rem;
+    border-bottom: 2px solid #ea4647;
+    padding-bottom: 0.35rem;
+    margin: 1.5rem 0 0.8rem;
 }
 
-/* 기업정보 카드 */
-.dl-info .prose {
+/* 기업카드 */
+.dl-card {
     background: #0f1219;
     border: 1px solid #1e2433;
-    border-radius: 8px;
-    padding: 1rem 1.5rem;
+    border-radius: 10px;
+    padding: 1.2rem 1.5rem;
+    margin: 1rem 0;
 }
-.dl-info table {
-    width: auto !important;
+.dl-card h2 {
+    color: #f1f5f9;
+    font-size: 1.4rem;
+    margin: 0 0 0.8rem;
 }
-.dl-info th, .dl-info td {
-    padding: 0.3rem 1rem 0.3rem 0 !important;
-    border: none !important;
+.dl-card .meta {
+    display: flex;
+    gap: 2rem;
+    flex-wrap: wrap;
 }
-
-/* 데이터 테이블 강화 */
-.dl-table table {
-    font-variant-numeric: tabular-nums !important;
+.dl-card .meta-item {
+    display: flex;
+    flex-direction: column;
 }
-.dl-table th {
-    background: #141824 !important;
-    color: #cbd5e1 !important;
-    font-weight: 600 !important;
-    text-align: center !important;
-    padding: 0.5rem 0.8rem !important;
-    white-space: nowrap !important;
-    border-bottom: 2px solid #ea4647 !important;
+.dl-card .meta-label {
+    color: #64748b;
+    font-size: 0.75rem;
+    text-transform: uppercase;
+    letter-spacing: 0.05em;
 }
-.dl-table td {
-    padding: 0.4rem 0.8rem !important;
-    text-align: right !important;
-    white-space: nowrap !important;
-    font-family: 'JetBrains Mono', 'Fira Code', 'Consolas', monospace !important;
-    font-size: 0.88rem !important;
+.dl-card .meta-value {
+    color: #e2e8f0;
+    font-size: 1.1rem;
+    font-weight: 600;
 }
-.dl-table td:first-child {
-    text-align: left !important;
-    font-family: inherit !important;
-    font-weight: 500 !important;
-    color: #e2e8f0 !important;
+
+/* 안내 텍스트 */
+.dl-guide {
+    color: #64748b;
+    font-size: 0.88rem;
+    text-align: center;
+    margin: 0.2rem 0 0.8rem;
 }
-.dl-table tr:hover td {
-    background: rgba(234,70,71,0.04) !important;
+
+/* 데이터 테이블 — column_config로 처리하므로 최소한만 */
+[data-testid="stDataFrame"] {
+    font-variant-numeric: tabular-nums;
 }
 
 /* 푸터 */
 .dl-footer {
     text-align: center;
     padding: 2rem 0 1rem;
-    color: #475569;
-    font-size: 0.85rem;
     border-top: 1px solid #1e2433;
     margin-top: 2rem;
+    color: #475569;
+    font-size: 0.85rem;
 }
 .dl-footer a {
-    color: #94a3b8 !important;
+    color: #94a3b8;
     text-decoration: none;
-    margin: 0 0.6rem;
-    transition: color 0.2s;
+    margin: 0 0.5rem;
 }
 .dl-footer a:hover {
-    color: #ea4647 !important;
+    color: #ea4647;
 }
 
-/* 입력 영역 강조 */
-.dl-input input {
-    font-size: 1.1rem !important;
-    text-align: center !important;
-}
-
-/* 안내 텍스트 */
-.dl-guide {
+/* 빈 상태 안내 */
+.dl-empty {
     text-align: center;
-    color: #64748b;
-    font-size: 0.9rem;
-    margin: 0.3rem 0 0;
+    color: #475569;
+    padding: 2rem;
+    font-size: 1rem;
 }
-"""
-
-_THEME = gr.themes.Base(
-    primary_hue=gr.themes.Color(
-        c50="#fef2f2", c100="#fee2e2", c200="#fecaca", c300="#fca5a5",
-        c400="#f87171", c500="#ea4647", c600="#dc2626", c700="#c83232",
-        c800="#991b1b", c900="#7f1d1d", c950="#450a0a",
-    ),
-    neutral_hue=gr.themes.Color(
-        c50="#f8fafc", c100="#f1f5f9", c200="#e2e8f0", c300="#cbd5e1",
-        c400="#94a3b8", c500="#64748b", c600="#475569", c700="#334155",
-        c800="#1e293b", c900="#0f172a", c950="#0a0d16",
-    ),
-    font=("system-ui", "-apple-system", "sans-serif"),
-).set(
-    body_background_fill="#0a0d16",
-    body_text_color="#f1f5f9",
-    block_background_fill="#0f1219",
-    block_border_color="#1e2433",
-    input_background_fill="#1a1f2b",
-    button_primary_background_fill="#ea4647",
-    button_primary_text_color="#ffffff",
-    button_secondary_background_fill="#1a1f2b",
-    button_secondary_text_color="#f1f5f9",
-    button_secondary_border_color="#1e2433",
-)
+</style>
+""", unsafe_allow_html=True)
 
 
-with gr.Blocks(
-    title="DartLab — 종목코드 하나로 기업 분석",
-    theme=_THEME,
-    css=_CSS,
-) as demo:
+# ── 유틸 ──────────────────────────────────────────────
 
-    # ── 헤더 ──
-    gr.HTML(f"""
-    <div class="dl-header">
-        <img src="{_LOGO_URL}" width="96" height="96" alt="DartLab">
-        <h1>DartLab</h1>
-        <p class="tagline">종목코드 하나. 기업의 전체 이야기.</p>
-        <p class="sub">DART · EDGAR 공시 데이터를 구조화하여 제공합니다</p>
-    </div>
-    """)
-
-    # ── 공유 state ──
-    codeState = gr.State("")
-
-    # ── 종목 입력 ──
-    gr.HTML('<p class="dl-guide">종목코드(005930) 또는 회사명(삼성전자)을 입력하세요</p>')
-    with gr.Row():
-        queryInput = gr.Textbox(
-            label="",
-            placeholder="005930, 삼성전자, AAPL ...",
-            scale=4,
-            elem_classes="dl-input",
-            show_label=False,
-        )
-        analyzeBtn = gr.Button("분석하기", scale=1, variant="primary", size="lg")
 
-    # ── 기업 정보 ──
-    companyInfo = gr.Markdown("", elem_classes="dl-info")
+def _toPandas(df):
+    """Polars/pandas DataFrame → pandas 변환."""
+    if df is None:
+        return None
+    if hasattr(df, "to_pandas"):
+        return df.to_pandas()
+    return df
 
-    # ── 재무제표 ──
-    gr.Markdown("### 📊 재무제표", elem_classes="dl-section")
-    gr.HTML('<p class="dl-guide">IS(손익계산서) · BS(재무상태표) · CF(현금흐름표) · ratios(재무비율)</p>')
-    sheetSelect = gr.Dropdown(
-        choices=["IS", "BS", "CF", "ratios"],
-        value="IS",
-        label="시트 선택",
-        scale=1,
-    )
-    financeTable = gr.DataFrame(
-        label="재무제표",
-        interactive=False,
-        elem_classes="dl-table",
-        wrap=True,
-    )
 
-    # ── Sections ──
-    gr.Markdown("### 📋 공시 데이터 (Sections)", elem_classes="dl-section")
-    gr.HTML('<p class="dl-guide">topic을 선택하면 해당 공시 항목의 기간별 데이터를 확인할 수 있습니다</p>')
-    topicSelect = gr.Dropdown(
-        choices=[],
-        label="Topic 선택",
-        interactive=True,
-    )
-    sectionTable = gr.DataFrame(
-        label="Section 데이터",
-        interactive=False,
-        elem_classes="dl-table",
-        wrap=True,
-    )
-    sectionText = gr.Markdown("")
-
-    # ── AI Chat (접힘) ──
-    with gr.Accordion("🤖 AI 분석 (OpenAI API 필요)", open=False):
-        if not _HAS_AI:
-            gr.Markdown(
-                "**AI 분석을 사용하려면** HuggingFace Spaces Settings → "
-                "Variables and secrets에서 `OPENAI_API_KEY`를 설정하세요."
+@st.cache_resource(max_entries=_MAX_CACHE)
+def _getCompany(code: str):
+    """캐시된 Company 반환."""
+    gc.collect()
+    return dartlab.Company(code)
+
+
+def _resolveCode(query: str) -> tuple[str | None, str | None]:
+    """쿼리 → (종목코드, 에러메시지)."""
+    query = query.strip()
+    if not query:
+        return None, None
+
+    if re.match(r"^\d{6}$", query) or re.match(r"^[A-Z]{1,5}$", query):
+        return query, None
+
+    try:
+        results = dartlab.search(query)
+        if results is None or len(results) == 0:
+            return None, f"'{query}' 검색 결과가 없습니다. 종목코드(예: 005930)를 직접 입력해보세요."
+        return str(results[0, "stockCode"]), None
+    except Exception as e:
+        return None, f"검색 실패: {e}"
+
+
+def _buildColumnConfig(df: pd.DataFrame) -> dict:
+    """숫자 컬럼에 천단위 구분자 포맷 적용."""
+    config = {}
+    if df is None or df.empty:
+        return config
+    for col in df.columns:
+        if pd.api.types.is_integer_dtype(df[col]):
+            config[col] = st.column_config.NumberColumn(
+                col, format="%d",
             )
-        chatbot = gr.Chatbot(label="AI 분석", height=400)
-        with gr.Row():
-            chatInput = gr.Textbox(
-                label="질문",
-                placeholder="재무건전성 분석해줘, 배당 이상 징후 찾아줘 ...",
-                scale=5,
+        elif pd.api.types.is_float_dtype(df[col]):
+            config[col] = st.column_config.NumberColumn(
+                col, format="%.2f",
             )
-            chatBtn = gr.Button("전송", scale=1, variant="primary")
+    return config
+
+
+def _showDataFrame(df: pd.DataFrame, key: str = ""):
+    """DataFrame을 포맷팅해서 표시."""
+    if df is None or df.empty:
+        st.markdown('<p class="dl-empty">데이터 없음</p>', unsafe_allow_html=True)
+        return
+    st.dataframe(
+        df,
+        column_config=_buildColumnConfig(df),
+        use_container_width=True,
+        hide_index=True,
+        key=key or None,
+    )
 
-        chatBtn.click(
-            handleChat,
-            inputs=[chatInput, chatbot, codeState],
-            outputs=[chatbot, chatInput],
-        )
-        chatInput.submit(
-            handleChat,
-            inputs=[chatInput, chatbot, codeState],
-            outputs=[chatbot, chatInput],
-        )
 
-    # ── 푸터 ──
-    gr.HTML(f"""
-    <div class="dl-footer">
-        <a href="{_BLOG_URL}">📖 초보자 가이드</a> ·
-        <a href="{_DOCS_URL}">📘 공식 문서</a> ·
-        <a href="{_COLAB_URL}">🔬 Colab</a> ·
-        <a href="{_REPO_URL}">⭐ GitHub</a>
-        <br><span style="color:#334155; font-size:0.8rem; margin-top:0.5rem; display:inline-block;">
-            pip install dartlab · Python 3.12+
-        </span>
-    </div>
-    """)
+# ── 프리로드 ──────────────────────────────────────────
+
+@st.cache_resource
+def _warmup():
+    """listing 캐시 워밍업."""
+    try:
+        dartlab.search("삼성전자")
+    except Exception:
+        pass
+    return True
+
+_warmup()
 
-    # ── 이벤트 바인딩 ──
-    analyzeBtn.click(
-        handleAnalyze,
-        inputs=queryInput,
-        outputs=[companyInfo, codeState, financeTable, topicSelect, sectionTable, sectionText],
-    )
-    queryInput.submit(
-        handleAnalyze,
-        inputs=queryInput,
-        outputs=[companyInfo, codeState, financeTable, topicSelect, sectionTable, sectionText],
-    )
 
-    sheetSelect.change(
-        handleFinance,
-        inputs=[codeState, sheetSelect],
-        outputs=financeTable,
+# ── 헤더 ──────────────────────────────────────────────
+
+st.markdown(f"""
+<div class="dl-header">
+    <img src="{_LOGO_URL}" width="88" height="88" alt="DartLab">
+    <h1>DartLab</h1>
+    <p class="tagline">종목코드 하나. 기업의 전체 이야기.</p>
+    <p class="sub">DART · EDGAR 공시 데이터를 구조화하여 제공합니다</p>
+</div>
+""", unsafe_allow_html=True)
+
+
+# ── 종목 입력 ─────────────────────────────────────────
+
+col1, col2 = st.columns([4, 1])
+with col1:
+    query = st.text_input(
+        "종목코드 또는 회사명",
+        placeholder="005930, 삼성전자, AAPL ...",
+        label_visibility="collapsed",
     )
+with col2:
+    analyzeClicked = st.button("분석하기", type="primary", use_container_width=True)
+
+st.markdown('<p class="dl-guide">종목코드(005930) 또는 회사명(삼성전자)을 입력하고 분석하기를 클릭하세요</p>', unsafe_allow_html=True)
+
 
-    topicSelect.change(
-        handleShow,
-        inputs=[codeState, topicSelect],
-        outputs=[sectionTable, sectionText],
+# ── 메인 로직 ─────────────────────────────────────────
+
+# 세션 상태 초기화
+if "code" not in st.session_state:
+    st.session_state.code = ""
+
+if analyzeClicked and query:
+    code, err = _resolveCode(query)
+    if err:
+        st.error(err)
+    elif code:
+        st.session_state.code = code
+
+code = st.session_state.code
+
+if code:
+    try:
+        c = _getCompany(code)
+    except Exception as e:
+        st.error(f"기업 로드 실패: {e}")
+        st.stop()
+
+    # ── 기업 카드 ──
+    currency = ""
+    if hasattr(c, "currency") and c.currency:
+        currency = c.currency
+
+    st.markdown(f"""
+    <div class="dl-card">
+        <h2>🏢 {c.corpName}</h2>
+        <div class="meta">
+            <div class="meta-item">
+                <span class="meta-label">종목코드</span>
+                <span class="meta-value">{c.stockCode}</span>
+            </div>
+            <div class="meta-item">
+                <span class="meta-label">시장</span>
+                <span class="meta-value">{c.market}</span>
+            </div>
+            {"<div class='meta-item'><span class='meta-label'>통화</span><span class='meta-value'>" + currency + "</span></div>" if currency else ""}
+        </div>
+    </div>
+    """, unsafe_allow_html=True)
+
+    # ── 재무제표 ──
+    st.markdown('<div class="dl-section">📊 재무제표</div>', unsafe_allow_html=True)
+    st.markdown('<p class="dl-guide">IS(손익계산서) · BS(재무상태표) · CF(현금흐름표) · ratios(재무비율)</p>', unsafe_allow_html=True)
+
+    sheetTab = st.radio(
+        "시트 선택",
+        ["IS", "BS", "CF", "ratios"],
+        horizontal=True,
+        label_visibility="collapsed",
     )
 
+    finDf = None
+    try:
+        raw = getattr(c, sheetTab, None)
+        finDf = _toPandas(raw)
+    except Exception:
+        pass
+
+    _showDataFrame(finDf, key="finance")
 
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    # ── Sections ──
+    topics = []
+    try:
+        topics = list(c.topics) if c.topics else []
+    except Exception:
+        pass
+
+    if topics:
+        st.markdown('<div class="dl-section">📋 공시 데이터 (Sections)</div>', unsafe_allow_html=True)
+        st.markdown('<p class="dl-guide">topic을 선택하면 해당 공시 항목의 기간별 데이터를 표시합니다</p>', unsafe_allow_html=True)
+
+        selectedTopic = st.selectbox(
+            "Topic 선택",
+            topics,
+            label_visibility="collapsed",
+        )
+
+        if selectedTopic:
+            secDf = None
+            secText = ""
+            try:
+                result = c.show(selectedTopic)
+                if result is not None:
+                    if hasattr(result, "to_pandas"):
+                        secDf = _toPandas(result)
+                    else:
+                        secText = str(result)
+            except Exception as e:
+                secText = f"조회 실패: {e}"
+
+            if secDf is not None:
+                _showDataFrame(secDf, key="section")
+            elif secText:
+                st.markdown(secText)
+
+    # ── AI Chat ──
+    with st.expander("🤖 AI 분석 (OpenAI API 필요)", expanded=False):
+        hasAi = bool(os.environ.get("OPENAI_API_KEY"))
+
+        if not hasAi:
+            st.info("AI 분석을 사용하려면 HuggingFace Spaces Settings → Variables and secrets에서 `OPENAI_API_KEY`를 설정하세요.")
+        else:
+            if "messages" not in st.session_state:
+                st.session_state.messages = []
+
+            for msg in st.session_state.messages:
+                with st.chat_message(msg["role"]):
+                    st.markdown(msg["content"])
+
+            if prompt := st.chat_input("재무건전성 분석해줘, 배당 이상 징후 찾아줘 ..."):
+                st.session_state.messages.append({"role": "user", "content": prompt})
+                with st.chat_message("user"):
+                    st.markdown(prompt)
+
+                with st.chat_message("assistant"):
+                    try:
+                        q = f"{code} {prompt}"
+                        answer = dartlab.ask(q, stream=False, raw=False)
+                        st.markdown(answer or "응답 없음")
+                        st.session_state.messages.append({"role": "assistant", "content": answer or "응답 없음"})
+                    except Exception as e:
+                        errMsg = f"분석 실패: {e}"
+                        st.markdown(errMsg)
+                        st.session_state.messages.append({"role": "assistant", "content": errMsg})
+
+else:
+    # 미입력 상태
+    st.markdown("""
+    <div class="dl-empty">
+        <p style="font-size: 1.2rem; color: #94a3b8;">종목코드를 입력하고 <strong>분석하기</strong>를 클릭하세요</p>
+        <p style="color: #475569; margin-top: 0.5rem;">
+            예시: <code>005930</code> (삼성전자) · <code>000660</code> (SK하이닉스) · <code>AAPL</code> (Apple)
+        </p>
+    </div>
+    """, unsafe_allow_html=True)
+
+
+# ── 푸터 ──────────────────────────────────────────────
+
+st.markdown(f"""
+<div class="dl-footer">
+    <a href="{_BLOG_URL}">📖 초보자 가이드</a> ·
+    <a href="{_DOCS_URL}">📘 공식 문서</a> ·
+    <a href="{_COLAB_URL}">🔬 Colab</a> ·
+    <a href="{_REPO_URL}">⭐ GitHub</a>
+    <br><span style="color:#334155; font-size:0.8rem; margin-top:0.5rem; display:inline-block;">
+        pip install dartlab · Python 3.12+
+    </span>
+</div>
+""", unsafe_allow_html=True)

requirements.txt

@@ -1,2 +1,2 @@
 dartlab>=0.7.8
-gradio>=6.0,<7
+streamlit>=1.45,<2