Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -202,6 +202,7 @@ def _strip_code_fences(text: str) -> str:
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def _postprocess_markdown(text: str) -> str:
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text = _strip_code_fences(text)
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text = _normalize_tables(text)
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return text.strip()
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@@ -215,11 +216,14 @@ def _build_prompt(strict_table_mode: bool = False) -> str:
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"3) Never drop right-most numeric columns (amount/balance).\n"
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"4) Keep page content order exactly.\n"
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"5) Do not summarize.\n"
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)
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if strict_table_mode:
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base += (
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-
"
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-
"
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)
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return base
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@@ -232,6 +236,69 @@ def _count_dated_rows(text: str) -> int:
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return len(re.findall(r"(?m)^\s*\d{2}/\d{2}\b", text))
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def _looks_amount_missing(text: str) -> bool:
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"""
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Heuristic: many dated activity rows but very low amount density.
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@@ -257,7 +324,11 @@ def _looks_amount_missing(text: str) -> bool:
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return dated >= 12 and amts <= max(3, dated // 10)
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-
def _infer_image(
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"""Run fine-tuned model on a single image file and return markdown."""
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import torch
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from PIL import Image
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@@ -272,12 +343,19 @@ def _infer_image(image_path: str, strict_table_mode: bool = False) -> str:
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try:
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img.save(resized_path, "PNG")
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "image", "url": resized_path},
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{"type": "text", "text":
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],
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}
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]
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@@ -374,7 +452,9 @@ def run_ocr(uploaded_file):
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all_pages: List[str] = []
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if not is_pdf:
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page_md = _infer_image(path, strict_table_mode=True)
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if page_md:
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all_pages.append(page_md)
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else:
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@@ -387,6 +467,20 @@ def run_ocr(uploaded_file):
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temp_paths.append(img_path)
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page_md = _infer_image(img_path, strict_table_mode=False)
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# Pass 2: retry for amount-missing pages
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if _looks_amount_missing(page_md):
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log.info(
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@@ -395,7 +489,11 @@ def run_ocr(uploaded_file):
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)
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retry_img = _render_pdf_page_to_image(path, page_idx, RETRY_PROFILE)
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temp_paths.append(retry_img)
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retry_md = _infer_image(
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# Keep better output by amount density.
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if _count_amounts(retry_md) > _count_amounts(page_md):
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def _postprocess_markdown(text: str) -> str:
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text = _strip_code_fences(text)
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text = _html_to_markdown_tables(text)
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text = _normalize_tables(text)
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return text.strip()
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"3) Never drop right-most numeric columns (amount/balance).\n"
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"4) Keep page content order exactly.\n"
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"5) Do not summarize.\n"
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"6) Output markdown only.\n"
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"7) Do not output HTML tags (<table>, <tr>, <td>, <thead>, <tbody>, etc.).\n"
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"8) Do not invent sample/demo rows.\n"
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)
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if strict_table_mode:
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base += (
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"9) If a row starts with a date (MM/DD), output it as a table row and include trailing amount.\n"
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"10) Prefer explicit table rows over plain text for statement activity.\n"
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)
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return base
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return len(re.findall(r"(?m)^\s*\d{2}/\d{2}\b", text))
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def _html_to_markdown_tables(text: str) -> str:
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"""
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Convert basic HTML table blocks into pipe markdown tables.
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This keeps downstream parsing deterministic even if model emits HTML.
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"""
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table_re = re.compile(r"<table[\s\S]*?</table>", re.IGNORECASE)
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row_re = re.compile(r"<tr[\s\S]*?</tr>", re.IGNORECASE)
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cell_re = re.compile(r"<t[dh][^>]*>([\s\S]*?)</t[dh]>", re.IGNORECASE)
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br_re = re.compile(r"<br\s*/?>", re.IGNORECASE)
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tag_re = re.compile(r"<[^>]+>")
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def _clean_cell(s: str) -> str:
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s = br_re.sub(" ", s)
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s = tag_re.sub(" ", s)
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s = s.replace(" ", " ")
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s = s.replace("&", "&")
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s = re.sub(r"\s+", " ", s).strip()
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return s
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def _convert_one(table_html: str) -> str:
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rows = []
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for row_html in row_re.findall(table_html):
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cells = [_clean_cell(c) for c in cell_re.findall(row_html)]
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cells = [c for c in cells if c != ""]
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if cells:
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rows.append(cells)
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if not rows:
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return table_html
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width = max(len(r) for r in rows)
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norm_rows = [r + [""] * (width - len(r)) for r in rows]
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header = norm_rows[0]
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out = [
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"| " + " | ".join(header) + " |",
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"| " + " | ".join(["---"] * width) + " |",
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]
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for r in norm_rows[1:]:
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out.append("| " + " | ".join(r) + " |")
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return "\n".join(out)
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return table_re.sub(lambda m: _convert_one(m.group(0)), text)
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def _is_hallucinated_table_block(text: str) -> bool:
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"""
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Detect obvious synthetic outputs like repeated '100.00' rows or
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placeholder transaction lists not present in statement pages.
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"""
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low = text.lower()
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if "<table" not in low and "| transaction | amount |" not in low:
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return False
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repeated_100 = len(re.findall(r"\b100\.00\b", text))
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credit_card_rows = len(re.findall(r"\bcredit card\b", low))
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bank_transfer_rows = len(re.findall(r"\bbank transfer\b", low))
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if repeated_100 >= 18 and (credit_card_rows + bank_transfer_rows) >= 10:
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return True
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if re.search(r"<!--\s*row\s+\d+\s*-->", low):
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return True
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return False
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def _looks_amount_missing(text: str) -> bool:
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"""
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Heuristic: many dated activity rows but very low amount density.
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return dated >= 12 and amts <= max(3, dated // 10)
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def _infer_image(
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image_path: str,
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strict_table_mode: bool = False,
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conservative_mode: bool = False,
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) -> str:
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"""Run fine-tuned model on a single image file and return markdown."""
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import torch
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from PIL import Image
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try:
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img.save(resized_path, "PNG")
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prompt = _build_prompt(strict_table_mode)
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if conservative_mode:
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prompt += (
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"\n11) If unsure, keep original text line-by-line; do not fabricate values.\n"
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"12) Never generate template/example/sample transaction rows.\n"
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)
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "image", "url": resized_path},
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{"type": "text", "text": prompt},
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],
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}
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]
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all_pages: List[str] = []
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if not is_pdf:
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page_md = _infer_image(path, strict_table_mode=True, conservative_mode=True)
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if _is_hallucinated_table_block(page_md):
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page_md = _infer_image(path, strict_table_mode=True, conservative_mode=True)
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if page_md:
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all_pages.append(page_md)
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else:
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temp_paths.append(img_path)
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page_md = _infer_image(img_path, strict_table_mode=False)
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# Pass 1.5: recover from synthetic/hallucinated table outputs
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if _is_hallucinated_table_block(page_md):
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log.info(
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"Page %d flagged as hallucinated-table; retrying conservative prompt.",
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page_idx + 1,
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)
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page_md_retry = _infer_image(
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img_path,
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strict_table_mode=True,
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conservative_mode=True,
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)
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if not _is_hallucinated_table_block(page_md_retry):
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page_md = page_md_retry
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# Pass 2: retry for amount-missing pages
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if _looks_amount_missing(page_md):
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log.info(
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)
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retry_img = _render_pdf_page_to_image(path, page_idx, RETRY_PROFILE)
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temp_paths.append(retry_img)
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retry_md = _infer_image(
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retry_img,
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strict_table_mode=True,
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conservative_mode=True,
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)
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# Keep better output by amount density.
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if _count_amounts(retry_md) > _count_amounts(page_md):
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