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Update app.py
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app.py
CHANGED
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@@ -1,5 +1,10 @@
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import os
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import re
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import yaml
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import gradio as gr
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@@ -9,14 +14,16 @@ GLMOCR_BASE = os.path.dirname(glmocr.__file__)
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CONFIG_PATH = os.path.join(GLMOCR_BASE, "config.yaml")
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FORMATTER_PATH = os.path.join(GLMOCR_BASE, "postprocess", "result_formatter.py")
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with open(CONFIG_PATH, "r") as f:
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config = yaml.safe_load(f)
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config["pipeline"]["maas"]["enabled"] = True
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api_key =
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if api_key:
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config["pipeline"]["maas"]["api_key"] = api_key
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to_remove = {"header", "footer"}
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for key in ("layout", "result_formatter"):
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@@ -35,7 +42,9 @@ for key in ("layout", "result_formatter"):
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with open(CONFIG_PATH, "w") as f:
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yaml.dump(config, f, default_flow_style=False, sort_keys=False)
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#
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with open(FORMATTER_PATH, "r") as f:
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source = f.read()
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for label in ('"header"', "'header'", '"footer"', "'footer'", '"doc_header"', "'doc_header'", '"doc_footer"', "'doc_footer'"):
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@@ -45,7 +54,81 @@ for label in ('"header"', "'header'", '"footer"', "'footer'", '"doc_header"', "'
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with open(FORMATTER_PATH, "w") as f:
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f.write(source)
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def run_ocr(uploaded_file):
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if uploaded_file is None:
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return "Please upload a file."
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@@ -61,34 +144,70 @@ def run_ocr(uploaded_file):
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page_images = []
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for i in range(len(doc)):
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pix = doc[i].get_pixmap(matrix=fitz.Matrix(1.5, 1.5), alpha=False)
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img_path = f"
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pix.save(img_path)
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page_images.append(img_path)
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doc.close()
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results = parse(page_images)
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else:
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results = parse(path)
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if not isinstance(results, list):
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results = [results]
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for
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except Exception as e:
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import traceback
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return f"Error: {e}\n\n{traceback.format_exc()}"
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-
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with gr.Blocks(title="GLM-OCR") as demo:
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gr.Markdown("# GLM-OCR\nUpload a PDF or image. Headers and footers
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file_in = gr.File(label="Upload PDF or image", file_types=[".pdf", ".png", ".jpg", ".jpeg", ".tiff", ".bmp"])
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run_btn = gr.Button("Run OCR", variant="primary")
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out = gr.Textbox(lines=40, label="Output")
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run_btn.click(fn=run_ocr, inputs=file_in, outputs=out)
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"""
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GLM-OCR Hugging Face Space app with client-side header/footer fallback for MaaS.
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Works for every PDF and every image: uses API bboxes when available, else minimal band.
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"""
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import os
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import re
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import tempfile
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import yaml
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import gradio as gr
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CONFIG_PATH = os.path.join(GLMOCR_BASE, "config.yaml")
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FORMATTER_PATH = os.path.join(GLMOCR_BASE, "postprocess", "result_formatter.py")
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DEFAULT_ZONE_FRAC = float(os.environ.get("GLMOCR_DEFAULT_ZONE_FRAC", "0.08"))
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# ---------------------------------------------------------------------------
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# 1. Config: include headers/footers (remove from abandon lists)
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# ---------------------------------------------------------------------------
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with open(CONFIG_PATH, "r") as f:
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config = yaml.safe_load(f)
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config["pipeline"]["maas"]["enabled"] = True
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config["pipeline"]["maas"]["api_key"] = "4570c28bdea5493c9efae9dae68edc66.sGbA9DLlcX1GlvqV"
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to_remove = {"header", "footer"}
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for key in ("layout", "result_formatter"):
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with open(CONFIG_PATH, "w") as f:
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yaml.dump(config, f, default_flow_style=False, sort_keys=False)
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# ---------------------------------------------------------------------------
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# 2. result_formatter: stop stripping header/footer in postprocess
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# ---------------------------------------------------------------------------
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with open(FORMATTER_PATH, "r") as f:
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source = f.read()
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for label in ('"header"', "'header'", '"footer"', "'footer'", '"doc_header"', "'doc_header'", '"doc_footer"', "'doc_footer'"):
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with open(FORMATTER_PATH, "w") as f:
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f.write(source)
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def get_header_footer_zones(regions, norm_height=1000):
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if not regions:
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return None, None
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y_tops, y_bottoms = [], []
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for r in regions:
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bbox = r.get("bbox_2d") if isinstance(r, dict) else getattr(r, "bbox_2d", None)
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if bbox and len(bbox) >= 4:
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y_tops.append(bbox[1])
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y_bottoms.append(bbox[3])
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if not y_tops:
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return None, None
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return min(y_tops) / norm_height, max(y_bottoms) / norm_height
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def extract_zone_text_pdf(pdf_path, page_num, y_start_frac, y_end_frac):
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try:
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import pymupdf as fitz
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doc = fitz.open(pdf_path)
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page = doc[page_num]
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h, w = page.rect.height, page.rect.width
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rect = fitz.Rect(0, h * y_start_frac, w, h * y_end_frac)
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text = page.get_text(clip=rect).strip()
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doc.close()
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return text
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except Exception:
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return ""
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def ocr_zone(image_path, y_start_frac, y_end_frac):
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try:
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from PIL import Image
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from glmocr import parse
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img = Image.open(image_path).convert("RGB")
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w, h = img.size
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y0 = max(0, int(h * y_start_frac))
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y1 = min(h, int(h * y_end_frac))
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if y1 <= y0:
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return ""
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crop = img.crop((0, y0, w, y1))
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fd, path = tempfile.mkstemp(suffix=".png")
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os.close(fd)
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crop.save(path)
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try:
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out = parse(path)
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if not isinstance(out, list):
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out = [out]
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if out and getattr(out[0], "markdown_result", None):
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return (out[0].markdown_result or "").strip()
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finally:
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try:
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os.unlink(path)
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except Exception:
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pass
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except Exception:
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pass
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return ""
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def get_page_md_and_regions(page_result):
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md = ""
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if hasattr(page_result, "markdown_result") and page_result.markdown_result:
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md = (page_result.markdown_result or "").strip()
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regions = []
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if hasattr(page_result, "json_result"):
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jr = page_result.json_result
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if isinstance(jr, list) and len(jr) > 0:
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r = jr[0] if isinstance(jr[0], list) else jr
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if isinstance(r, list):
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regions = r
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elif isinstance(r, dict) and "regions" in r:
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regions = r.get("regions") or []
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return md, regions
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def run_ocr(uploaded_file):
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if uploaded_file is None:
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return "Please upload a file."
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page_images = []
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for i in range(len(doc)):
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pix = doc[i].get_pixmap(matrix=fitz.Matrix(1.5, 1.5), alpha=False)
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img_path = os.path.join(tempfile.gettempdir(), f"maas_page_{i}.png")
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pix.save(img_path)
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page_images.append(img_path)
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doc.close()
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results = parse(page_images)
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else:
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page_images = [path]
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results = parse(path)
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if not isinstance(results, list):
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results = [results]
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all_pages = []
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for page_num, page_result in enumerate(results):
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page_md, regions = get_page_md_and_regions(page_result)
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header_end_frac, footer_start_frac = get_header_footer_zones(regions, 1000)
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he = header_end_frac if header_end_frac is not None else DEFAULT_ZONE_FRAC
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fs = footer_start_frac if footer_start_frac is not None else (1.0 - DEFAULT_ZONE_FRAC)
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if he <= 0 and header_end_frac is not None:
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he = 0
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if fs >= 1.0 and footer_start_frac is not None:
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fs = 1.0
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parts = []
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if he > 0 and page_num < len(page_images):
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img_path = page_images[page_num]
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hdr = ""
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if is_pdf:
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hdr = extract_zone_text_pdf(path, page_num, 0, he)
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if not (hdr and hdr.strip()):
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hdr = ocr_zone(img_path, 0, he)
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if hdr and hdr.strip():
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parts.append(hdr.strip())
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if page_md:
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parts.append(page_md)
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if fs < 1.0 and page_num < len(page_images):
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img_path = page_images[page_num]
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ftr = ""
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if is_pdf:
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ftr = extract_zone_text_pdf(path, page_num, fs, 1.0)
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if not (ftr and ftr.strip()):
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ftr = ocr_zone(img_path, fs, 1.0)
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if ftr and ftr.strip():
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parts.append(ftr.strip())
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if parts:
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all_pages.append("\n\n".join(parts))
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return "\n\n---\n\n".join(all_pages) if all_pages else "(No content)"
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except Exception as e:
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import traceback
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return f"Error: {e}\n\n{traceback.format_exc()}"
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with gr.Blocks(title="GLM-OCR") as demo:
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gr.Markdown("# GLM-OCR\nUpload a PDF or image. Headers and footers included.")
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file_in = gr.File(label="Upload PDF or image", file_types=[".pdf", ".png", ".jpg", ".jpeg", ".tiff", ".bmp"])
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run_btn = gr.Button("Run OCR", variant="primary")
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out = gr.Textbox(lines=40, label="Output")
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run_btn.click(fn=run_ocr, inputs=file_in, outputs=out)
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if __name__ == "__main__":
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demo.launch()
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