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Update app.py
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app.py
CHANGED
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@@ -1,20 +1,13 @@
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import gradio as gr
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from transformers import pipeline
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import fitz
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import tempfile
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import os
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import re
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import time
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import
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import time as _t
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_t0 = _t.time()
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ner = pipeline("ner", model="cahya/NusaBert-ner-v1.3", aggregation_strategy="simple")
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print(f"[STARTUP] Model loaded in {_t.time()-_t0:.2f}s — running warmup...")
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ner("PT Bank Indonesia") # warmup: paksa model fully loaded ke memori
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print(f"[STARTUP] Warmup selesai. Total: {_t.time()-_t0:.2f}s")
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# Label mapping
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LABEL_MAP = {
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@@ -26,19 +19,6 @@ LABEL_MAP = {
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"REG": "Agama", "TIM": "Waktu", "WOA": "Karya Seni", "LAN": "Bahasa",
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}
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RTF_COLOR_TABLE = [
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(255,191,191),(174,221,255),(141,199,255),(184,255,184),(153,242,204),
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(217,255,165),(255,229,140),(255,204,102),(204,255,218),(242,204,255),
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(224,191,255),(255,242,178),(199,242,242),(255,186,186),(255,217,165),
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(191,223,255),(230,218,255),(255,230,218),(204,255,242),
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]
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LABEL_RTF_COLOR_IDX = {
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"PER":1,"ORG":2,"NOR":3,"LOC":4,"GPE":5,"FAC":6,"DAT":7,"TIM":8,
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"MON":9,"CRD":10,"ORD":11,"PRC":12,"QTY":13,"LAW":14,"EVT":15,
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"PRD":16,"REG":17,"WOA":18,"LAN":19,
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}
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LABEL_HEX = {
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"PER":"#FFBFBF","ORG":"#AEDDFF","NOR":"#8DC7FF","LOC":"#B8FFB8",
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"GPE":"#99F2CC","FAC":"#D9FFA5","DAT":"#FFE58C","TIM":"#FFCC66",
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@@ -91,23 +71,7 @@ def get_label_id(raw_label: str) -> str:
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label_id = raw_label.replace("B-","").replace("I-","").replace("B_","").replace("I_","")
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return label_id.split("-")[-1].upper().strip()
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def
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out = []
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for ch in text:
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if ch == '\\': out.append('\\\\')
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elif ch == '{': out.append('\\{')
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elif ch == '}': out.append('\\}')
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elif ord(ch) > 127: out.append(f'\\u{ord(ch)}?')
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else: out.append(ch)
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return ''.join(out)
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def build_rtf_color_table() -> str:
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entries = "\\red0\\green0\\blue0;"
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for r,g,b in RTF_COLOR_TABLE:
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entries += f"\\red{r}\\green{g}\\blue{b};"
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return "{\\colortbl ;" + entries + "}"
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def text_to_rtf_with_highlights(text: str, entity_map: dict) -> str:
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sorted_entities = sorted(entity_map.items(), key=lambda x: len(x[0]), reverse=True)
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spans = []
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used = [False] * len(text)
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for i in range(s, e):
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used[i] = True
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spans.sort(key=lambda x: x[0])
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cursor = 0
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for s, e, label_id in spans:
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if cursor < s:
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cursor = e
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if cursor < len(text):
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return "".join(rtf_parts)
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def wrap_rtf(content: str) -> str:
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color_table = build_rtf_color_table()
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content_rtf = content.replace("\r\n","\n").replace("\r","\n").replace("\n","\\par\n")
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return (
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"
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"
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"\\margl1800\\margr1800\\margt1440\\margb1440\n"
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"\\f0\\fs24\\sl360\\slmult1\n"
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f"{content_rtf}"
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"}"
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)
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def _build_debug_html(lines: list) -> str:
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rows = "".join(
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f'<div style="padding:6px 10px; border-bottom:1px solid rgba(255,255,255,0.07); '
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f'font-size:13px; color:#cbd5e1; font-family:monospace;">{line}</div>'
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for line in lines
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)
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<div style="margin-top:12px; background:rgba(15,23,42,0.85); border:1px solid rgba(99,102,241,0.35);
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border-radius:12px; overflow:hidden;">
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<div style="background:linear-gradient(135deg,#1e40af,#6d28d9); padding:8px 14px;
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font-size:11px; font-weight:700; letter-spacing:0.1em; color:#fff;">
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🔍 DEBUG — WAKTU PER LANGKAH
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</div>
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{rows}
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</div>"""
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# NER Teks
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def
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if
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return "<p style='color:#94a3b8;
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if
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row_bg = "#f8faff" if row_num % 2 == 0 else "#ffffff"
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rows_html += f"""
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<tr style="background:{row_bg};">
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<td style="padding:9px 14px;border-bottom:1px solid #e8edf5;text-align:center;color:#64748b;font-size:12px;">{row_num}</td>
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<td style="padding:9px 14px;border-bottom:1px solid #e8edf5;font-weight:600;color:#1e293b;">{word}</td>
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<td style="padding:9px 14px;border-bottom:1px solid #e8edf5;">
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<span style="background:{hex_color};padding:3px 10px;border-radius:20px;font-size:12px;font-weight:600;color:#1e293b;">{label_idn}</span>
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</td>
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<td style="padding:9px 14px;border-bottom:1px solid #e8edf5;font-size:12px;color:#64748b;text-align:center;">{score}</td>
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</tr>"""
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row_num += 1
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if not rows_html:
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return "<p style='color:#94a3b8; font-style:italic; padding:16px;'>Tidak ada entitas yang ditemukan.</p>"
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return f"""
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<div style="overflow-x:auto;margin-top:4px;border-radius:12px;border:1px solid #e2e8f0;box-shadow:0 2px 12px rgba(0,0,0,0.06);">
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<table style="width:100%;border-collapse:collapse;font-size:14px;font-family:'Segoe UI',sans-serif;">
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<thead>
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<tr style="background:linear-gradient(135deg,#1e40af,#6d28d9);">
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<th style="padding:12px 14px;color:#fff;width:55px;font-weight:600;font-size:12px;letter-spacing:0.05em;">NO</th>
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<th style="padding:12px 14px;color:#fff;text-align:left;font-weight:600;font-size:12px;letter-spacing:0.05em;">KATA / FRASA</th>
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<th style="padding:12px 14px;color:#fff;text-align:left;font-weight:600;font-size:12px;letter-spacing:0.05em;">ENTITAS</th>
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<th style="padding:12px 14px;color:#fff;width:90px;font-weight:600;font-size:12px;letter-spacing:0.05em;">SKOR</th>
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</tr>
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</thead>
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<tbody>{rows_html}</tbody>
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</table>
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</div>"""
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# NER PDF → RTF
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def run_ner_pdf(pdf_file):
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if pdf_file is None:
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return "", "", "<p style='color:#94a3b8;font-style:italic;padding:16px;'>Unggah file PDF terlebih dahulu.</p>", ""
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pdf_path = pdf_file if isinstance(pdf_file, str) else pdf_file.name
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doc = fitz.open(pdf_path)
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page_count = len(doc)
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if page_count > MAX_PDF_PAGES:
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doc.close()
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<
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<div>
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<p style="margin:0;font-weight:700;color:#be123c;font-size:15px;">PDF Terlalu Banyak Halaman</p>
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<p style="margin:4px 0 0;color:#9f1239;font-size:13px;">
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File Anda memiliki <strong>{page_count} halaman</strong>.
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Maksimal <strong>{MAX_PDF_PAGES} halaman</strong>.
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</p>
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</div>
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</div>""", ""
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debug_lines = []
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t_total = time.time()
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# LANGKAH 1: Ekstrak teks
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t0 = time.time()
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pages_text = [page.get_text() for page in doc]
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doc.close()
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full_text = "\n\n".join(pages_text)
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char_count = len(full_text)
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t1 = time.time()
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debug_lines.append(f"✅ <b>Langkah 1</b> — Ekstrak teks PDF: <b>{t1-t0:.3f}s</b> | {char_count:,} karakter | {page_count} halaman")
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# ── LANGKAH 2: Chunking ──
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t0 = time.time()
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chunks = []
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start = 0
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while start < len(full_text):
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if end == len(full_text):
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break
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start = end - OVERLAP_CHARS
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t1 = time.time()
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debug_lines.append(f"✅ <b>Langkah 2</b> — Chunking teks: <b>{t1-t0:.4f}s</b> | {len(chunks)} chunk @ {MAX_CHUNK_CHARS} karakter")
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#
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t0 = time.time()
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all_ner_results = []
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tc = time.time()
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chunk_results = ner(chunk.strip())
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chunk_times.append(time.time() - tc)
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all_ner_results.extend(chunk_results)
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t1 = time.time()
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avg_chunk = sum(chunk_times)/len(chunk_times) if chunk_times else 0
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debug_lines.append(
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f"✅ <b>Langkah 3</b> — NER model: <b>{t1-t0:.2f}s</b> total | "
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f"{len(chunks)} chunk | avg/chunk: {avg_chunk:.2f}s | {len(all_ner_results)} entitas raw"
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)
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# Detail per chunk
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for i, ct in enumerate(chunk_times):
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debug_lines.append(f" ↳ chunk {i+1}/{len(chunks)}: {ct:.2f}s ({len(chunks[i])} karakter)")
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if not all_ner_results:
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return None, "", "<p style='color:#94a3b8;padding:16px;'>Tidak ada entitas ditemukan.</p>", dh
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#
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t0 = time.time()
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entity_map: dict[str, str] = {}
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for ent in all_ner_results:
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word = clean_word(ent["word"])
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if len(word) < 2:
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label_id = get_label_id(ent["entity_group"])
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w_lower = word.lower()
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if w_lower not in entity_map:
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entity_map[w_lower] = label_id
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t1 = time.time()
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debug_lines.append(f"✅ <b>Langkah 4</b> — Bangun entity_map: <b>{t1-t0:.4f}s</b> | {len(entity_map)} entitas unik")
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if not entity_map:
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return None, "", "<p style='color:#94a3b8;padding:16px;'>Tidak ada entitas ditemukan.</p>", dh
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# ── LANGKAH 5: Highlight → RTF content ──
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t0 = time.time()
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rtf_content = text_to_rtf_with_highlights(full_text, entity_map)
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t1 = time.time()
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debug_lines.append(f"✅ <b>Langkah 5</b> — Highlight & build RTF content: <b>{t1-t0:.4f}s</b>")
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# ── LANGKAH 6: Build Download Link ──
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t0 = time.time()
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)
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rtf_bytes
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).decode()
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download_html = f"""
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<div style="padding:12px 0;">
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<a
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href="data:application/rtf;base64,{b64}"
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download="hasil_ner.rtf"
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style="
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display:inline-block;
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background:linear-gradient(135deg,#1e40af,#6d28d9);
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color:white;
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text-decoration:none;
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padding:12px 20px;
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border-radius:10px;
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font-weight:600;
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font-family:'DM Sans',sans-serif;
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">
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📥 Download Hasil RTF
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</a>
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</div>
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"""
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t1 = time.time()
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debug_lines.append(
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f"✅ <b>Langkah 6</b> — Build Download Link: <b>{t1-t0:.4f}s</b>"
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)
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t_end = time.time()
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debug_lines.append(f"⏱ <b>TOTAL WAKTU: {t_end-t_total:.2f}s</b>")
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debug_html = _build_debug_html(debug_lines)
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found_labels: set[str] = set(entity_map.values())
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# Legend
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legend_rows = ""
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for label_id in sorted(found_labels):
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label_idn = LABEL_MAP.get(label_id, label_id)
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hex_color = LABEL_HEX.get(label_id, "#e2e8f0")
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legend_rows += f"""
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<tr>
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<td style="padding:8px 14px;border-bottom:1px solid #e8edf5;">
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<span style="display:inline-block;width:24px;height:24px;border-radius:6px;
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background:{hex_color};vertical-align:middle;border:1px solid rgba(0,0,0,0.1);"></span>
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</td>
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<td style="padding:8px 14px;border-bottom:1px solid #e8edf5;font-weight:600;color:#1e293b;font-size:13px;">{label_id}</td>
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<td style="padding:8px 14px;border-bottom:1px solid #e8edf5;color:#475569;font-size:13px;">{label_idn}</td>
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</tr>"""
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legend_html = f"""
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<div style="margin-top:4px;">
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<p style="font-size:13px;color:#64748b;margin-bottom:10px;">
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Ditemukan {len(found_labels)}jenis entitas
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dari {page_count}halaman PDF.
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Buka file rtf di Microsoft Word atau LibreOffice Writer.
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</p>
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<div style="overflow-x:auto;border-radius:12px;border:1px solid #e2e8f0;box-shadow:0 2px 12px rgba(0,0,0,0.06);">
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<table style="width:100%;border-collapse:collapse;font-family:'Segoe UI',sans-serif;">
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<thead>
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<tr style="background:linear-gradient(135deg,#1e40af,#6d28d9);">
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<th style="padding:11px 14px;color:#fff;font-size:12px;letter-spacing:0.05em;width:50px;">WARNA</th>
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<th style="padding:11px 14px;color:#fff;font-size:12px;letter-spacing:0.05em;text-align:left;">KODE</th>
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<th style="padding:11px 14px;color:#fff;font-size:12px;letter-spacing:0.05em;text-align:left;">NAMA ENTITAS</th>
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</tr>
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</thead>
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<tbody>{legend_rows}</tbody>
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</table>
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</div>
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</div>"""
|
| 397 |
-
|
| 398 |
-
return download_html, legend_html, "", debug_html
|
| 399 |
|
| 400 |
# CSS
|
| 401 |
CUSTOM_CSS = """
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@@ -462,58 +246,33 @@ with gr.Blocks(title="NER for Financial Statements", css=CUSTOM_CSS) as demo:
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|
| 462 |
gr.HTML('<div class="section-heading" style="margin-top:20px;">Hasil Analisis Entitas</div>')
|
| 463 |
text_output = gr.HTML(value="<p style='color:#64748b;font-size:14px;font-family:DM Sans,sans-serif;padding:20px;text-align:center;'>Masukkan teks lalu klik Lakukan Analisis.</p>")
|
| 464 |
|
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-
with gr.Tab("Analisis
|
| 466 |
with gr.Column(elem_id="center-col"):
|
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gr.HTML(
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)
|
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gr.HTML('<div class="section-heading">
|
| 477 |
-
|
| 478 |
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|
| 479 |
-
pdf_warning = gr.HTML(value="")
|
| 480 |
-
|
| 481 |
-
with gr.Column(visible=False) as pdf_results_col:
|
| 482 |
-
gr.HTML('<div class="section-heading" style="margin-top:20px;">Download Hasil RTF</div>')
|
| 483 |
-
pdf_output = gr.HTML(value="")
|
| 484 |
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gr.HTML('<div class="section-heading" style="margin-top:20px;">Keterangan Warna Entitas</div>')
|
| 485 |
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pdf_legend = gr.HTML(value="")
|
| 486 |
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# Debug panel — selalu tampil setelah proses
|
| 487 |
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pdf_debug = gr.HTML(value="")
|
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-
|
| 489 |
gr.HTML('<div id="footer">NER for Financial Statements 2026</div>')
|
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-
|
| 491 |
# Wiring
|
| 492 |
for btn, body in example_btns:
|
| 493 |
btn.click(fn=lambda b=body: b, inputs=[], outputs=text_input)
|
| 494 |
-
|
| 495 |
analyze_btn.click(fn=run_ner, inputs=text_input, outputs=text_output)
|
| 496 |
text_input.submit(fn=run_ner, inputs=text_input, outputs=text_output)
|
| 497 |
|
| 498 |
-
def handle_pdf(pdf_file):
|
| 499 |
-
download_html, legend_html, warn_html, debug_html = run_ner_pdf(pdf_file)
|
| 500 |
-
|
| 501 |
-
show = gr.Column(
|
| 502 |
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visible=bool(download_html)
|
| 503 |
-
)
|
| 504 |
-
|
| 505 |
-
return (
|
| 506 |
-
download_html,
|
| 507 |
-
legend_html,
|
| 508 |
-
warn_html,
|
| 509 |
-
debug_html,
|
| 510 |
-
show
|
| 511 |
-
)
|
| 512 |
-
|
| 513 |
analyze_pdf_btn.click(
|
| 514 |
-
fn=
|
| 515 |
inputs=pdf_input,
|
| 516 |
-
outputs=[pdf_output, pdf_legend
|
| 517 |
)
|
| 518 |
|
| 519 |
if __name__ == "__main__":
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|
| 1 |
import os
|
| 2 |
import re
|
| 3 |
import time
|
| 4 |
+
import fitz
|
| 5 |
+
import gradio as gr
|
| 6 |
|
| 7 |
+
from transformers import pipeline
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|
| 8 |
|
| 9 |
+
# Load model
|
| 10 |
+
ner = pipeline("ner", model="cahya/NusaBert-ner-v1.3", aggregation_strategy="simple")
|
| 11 |
|
| 12 |
# Label mapping
|
| 13 |
LABEL_MAP = {
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|
|
| 19 |
"REG": "Agama", "TIM": "Waktu", "WOA": "Karya Seni", "LAN": "Bahasa",
|
| 20 |
}
|
| 21 |
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|
| 22 |
LABEL_HEX = {
|
| 23 |
"PER":"#FFBFBF","ORG":"#AEDDFF","NOR":"#8DC7FF","LOC":"#B8FFB8",
|
| 24 |
"GPE":"#99F2CC","FAC":"#D9FFA5","DAT":"#FFE58C","TIM":"#FFCC66",
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|
| 71 |
label_id = raw_label.replace("B-","").replace("I-","").replace("B_","").replace("I_","")
|
| 72 |
return label_id.split("-")[-1].upper().strip()
|
| 73 |
|
| 74 |
+
def highlight_html(text: str, entity_map: dict) -> str:
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|
| 75 |
sorted_entities = sorted(entity_map.items(), key=lambda x: len(x[0]), reverse=True)
|
| 76 |
spans = []
|
| 77 |
used = [False] * len(text)
|
|
|
|
| 87 |
for i in range(s, e):
|
| 88 |
used[i] = True
|
| 89 |
spans.sort(key=lambda x: x[0])
|
| 90 |
+
parts = []
|
| 91 |
cursor = 0
|
| 92 |
for s, e, label_id in spans:
|
| 93 |
if cursor < s:
|
| 94 |
+
parts.append(text[cursor:s].replace("\n", "<br>"))
|
| 95 |
+
hex_color = LABEL_HEX.get(label_id, "#e2e8f0")
|
| 96 |
+
label_idn = LABEL_MAP.get(label_id, label_id)
|
| 97 |
+
word = text[s:e]
|
| 98 |
+
parts.append(
|
| 99 |
+
f'<mark style="background:{hex_color};border-radius:4px;padding:1px 4px;'
|
| 100 |
+
f'font-weight:600;" title="{label_idn}">{word}</mark>'
|
| 101 |
+
)
|
| 102 |
cursor = e
|
| 103 |
if cursor < len(text):
|
| 104 |
+
parts.append(text[cursor:].replace("\n", "<br>"))
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|
| 105 |
return (
|
| 106 |
+
'<div style="font-family:\'DM Sans\',sans-serif;font-size:14px;line-height:2;'
|
| 107 |
+
'color:#1e293b;background:#fff;border-radius:12px;padding:20px 24px;'
|
| 108 |
+
'border:1px solid #e2e8f0;white-space:pre-wrap;">'
|
| 109 |
+
+ "".join(parts) + "</div>"
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| 110 |
)
|
| 111 |
+
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|
| 112 |
# NER Teks
|
| 113 |
+
def run_ner_file(upload_file):
|
| 114 |
+
if upload_file is None:
|
| 115 |
+
return "<p style='color:#94a3b8;font-style:italic;padding:16px;'>Unggah file terlebih dahulu.</p>", ""
|
| 116 |
+
|
| 117 |
+
file_path = upload_file if isinstance(upload_file, str) else upload_file.name
|
| 118 |
+
ext = os.path.splitext(file_path)[-1].lower()
|
| 119 |
+
|
| 120 |
+
if ext == ".txt":
|
| 121 |
+
with open(file_path, "r", encoding="utf-8", errors="replace") as f:
|
| 122 |
+
full_text = f.read()
|
| 123 |
+
page_count = 1
|
| 124 |
+
elif ext == ".pdf":
|
| 125 |
+
doc = fitz.open(file_path)
|
| 126 |
+
page_count = len(doc)
|
| 127 |
+
if page_count > MAX_PDF_PAGES:
|
| 128 |
+
doc.close()
|
| 129 |
+
return (
|
| 130 |
+
f"<p style='color:#be123c;padding:16px;'>PDF terlalu banyak halaman "
|
| 131 |
+
f"({page_count}). Maks {MAX_PDF_PAGES} halaman.</p>", ""
|
| 132 |
+
)
|
| 133 |
+
full_text = "\n\n".join(page.get_text() for page in doc)
|
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|
|
| 134 |
doc.close()
|
| 135 |
+
else:
|
| 136 |
+
return "<p style='color:#be123c;padding:16px;'>Format tidak didukung.</p>", ""
|
| 137 |
+
|
| 138 |
+
# Chunking
|
|
|
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|
|
|
|
| 139 |
chunks = []
|
| 140 |
start = 0
|
| 141 |
while start < len(full_text):
|
|
|
|
| 144 |
if end == len(full_text):
|
| 145 |
break
|
| 146 |
start = end - OVERLAP_CHARS
|
|
|
|
|
|
|
| 147 |
|
| 148 |
+
# NER
|
|
|
|
| 149 |
all_ner_results = []
|
| 150 |
+
for chunk in chunks:
|
| 151 |
+
all_ner_results.extend(ner(chunk.strip()))
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
| 152 |
|
| 153 |
if not all_ner_results:
|
| 154 |
+
return "<p style='color:#94a3b8;padding:16px;'>Tidak ada entitas ditemukan.</p>", ""
|
|
|
|
| 155 |
|
| 156 |
+
# Bangun entity_map
|
|
|
|
| 157 |
entity_map: dict[str, str] = {}
|
| 158 |
for ent in all_ner_results:
|
| 159 |
word = clean_word(ent["word"])
|
| 160 |
+
if len(word) < 2:
|
| 161 |
+
continue
|
| 162 |
label_id = get_label_id(ent["entity_group"])
|
| 163 |
w_lower = word.lower()
|
| 164 |
if w_lower not in entity_map:
|
| 165 |
entity_map[w_lower] = label_id
|
|
|
|
|
|
|
| 166 |
|
| 167 |
if not entity_map:
|
| 168 |
+
return "<p style='color:#94a3b8;padding:16px;'>Tidak ada entitas ditemukan.</p>", ""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 169 |
|
| 170 |
+
highlighted = highlight_html(full_text, entity_map)
|
| 171 |
|
| 172 |
+
# Badge legend
|
| 173 |
+
found_labels = set(entity_map.values())
|
| 174 |
+
badges = "".join(
|
| 175 |
+
f'<span style="background:{LABEL_HEX.get(l,"#e2e8f0")};border-radius:20px;'
|
| 176 |
+
f'padding:3px 10px;font-size:12px;font-weight:600;color:#1e293b;margin:3px;">'
|
| 177 |
+
f'{LABEL_MAP.get(l, l)}</span>'
|
| 178 |
+
for l in sorted(found_labels)
|
| 179 |
)
|
| 180 |
+
legend_html = f'<div style="margin-bottom:12px;line-height:2;">{badges}</div>'
|
| 181 |
|
| 182 |
+
return highlighted, legend_html
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 183 |
|
| 184 |
# CSS
|
| 185 |
CUSTOM_CSS = """
|
|
|
|
| 246 |
gr.HTML('<div class="section-heading" style="margin-top:20px;">Hasil Analisis Entitas</div>')
|
| 247 |
text_output = gr.HTML(value="<p style='color:#64748b;font-size:14px;font-family:DM Sans,sans-serif;padding:20px;text-align:center;'>Masukkan teks lalu klik Lakukan Analisis.</p>")
|
| 248 |
|
| 249 |
+
with gr.Tab("Analisis File"):
|
| 250 |
with gr.Column(elem_id="center-col"):
|
| 251 |
+
gr.HTML('<p style="color:#94a3b8;font-family:DM Sans,sans-serif;font-size:13px;margin:0 0 16px;">'
|
| 252 |
+
'Unggah file .pdf (maks 5 halaman) atau .txt.</p>'
|
| 253 |
+
)
|
| 254 |
+
gr.HTML('<div class="section-heading">Unggah File</div>')
|
| 255 |
+
pdf_input = gr.File(label="", file_types=[".pdf", ".txt"], type="filepath")
|
| 256 |
+
analyze_pdf_btn = gr.Button("Analisis & Highlight Entitas", elem_id="analyze-pdf-btn")
|
| 257 |
+
|
| 258 |
+
gr.HTML('<div class="section-heading" style="margin-top:20px;">Entitas Ditemukan</div>')
|
| 259 |
+
pdf_legend = gr.HTML(value="")
|
| 260 |
+
gr.HTML('<div class="section-heading" style="margin-top:12px;">Teks Ter-highlight</div>')
|
| 261 |
+
pdf_output = gr.HTML(value="")
|
| 262 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 263 |
gr.HTML('<div id="footer">NER for Financial Statements 2026</div>')
|
| 264 |
+
|
| 265 |
# Wiring
|
| 266 |
for btn, body in example_btns:
|
| 267 |
btn.click(fn=lambda b=body: b, inputs=[], outputs=text_input)
|
| 268 |
+
|
| 269 |
analyze_btn.click(fn=run_ner, inputs=text_input, outputs=text_output)
|
| 270 |
text_input.submit(fn=run_ner, inputs=text_input, outputs=text_output)
|
| 271 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 272 |
analyze_pdf_btn.click(
|
| 273 |
+
fn=run_ner_file,
|
| 274 |
inputs=pdf_input,
|
| 275 |
+
outputs=[pdf_output, pdf_legend],
|
| 276 |
)
|
| 277 |
|
| 278 |
if __name__ == "__main__":
|