Please select a file first
', "*Rendered Markdown will appear here after parsing.*", "[]", ) try: data = parse_document(path) pages = data.get("total_pages") or 0 results = data.get("results") or [] markdown = data.get("markdown") or "" status = ( f'Complete · {pages} pages · ' f"{len(results)} results
" ) if not markdown.strip(): markdown = "*No Markdown content was returned.*" return status, markdown, json.dumps(results, ensure_ascii=False, indent=2) except Exception as exc: return ( f'Parsing failed: {html.escape(str(exc))}
', "*Parsing failed. Check the status message.*", "[]", ) def build_theme() -> gr.Theme: return gr.themes.Soft( primary_hue="blue", secondary_hue="indigo", neutral_hue="slate", radius_size="lg", font=[gr.themes.GoogleFont("DM Sans"), "system-ui", "sans-serif"], font_mono=[gr.themes.GoogleFont("JetBrains Mono"), "ui-monospace", "monospace"], ) def build_ui() -> gr.Blocks: with gr.Blocks( title="Document Processing Demo", css=CUSTOM_CSS, theme=build_theme(), ) as demo: gr.HTML('Document Processing Demo
') with gr.Tabs(): with gr.Tab("Smart Doc"): gr.Markdown( f"Upload a document for layout + OCR parsing via " f"`{SMARTDOC_URL}` · PDF / image / Office · **10 MB** max" ) doc_file = gr.File( label="Document", file_count="single", file_types=[ ".pdf", ".png", ".jpg", ".jpeg", ".doc", ".docx", ".ppt", ".pptx", ".xls", ".xlsx", ".odt", ".odp", ".ods", ".rtf", ], ) with gr.Row(elem_classes=["toolbar-row"]): parse_btn = gr.Button("Parse Document", variant="primary", scale=0) clear_doc_btn = gr.Button("Clear", scale=0) smartdoc_status = gr.HTML( value='Select a file to begin
' ) with gr.Tabs(): with gr.Tab("Markdown"): smartdoc_md = gr.Markdown( value="*Rendered Markdown will appear here after parsing.*", latex_delimiters=[ {"left": "$$", "right": "$$", "display": True}, {"left": "$", "right": "$", "display": False}, {"left": "\\(", "right": "\\)", "display": False}, {"left": "\\[", "right": "\\]", "display": True}, ], ) with gr.Tab("Results"): smartdoc_json = gr.Code( value="[]", language="json", label="Structured results", lines=22, ) with gr.Tab("Translation"): with gr.Row(): source_lang = gr.Dropdown( choices=LANG_OPTIONS, value="zh", label="Source language", scale=1, ) target_lang = gr.Dropdown( choices=LANG_OPTIONS, value="en", label="Target language", scale=1, ) mode = gr.Radio( choices=["stream", "fast"], value="stream", label="Mode", info=( "stream: SSE segments via POST /translate; " "fast: async submit + poll via /translate/async" ), scale=1, ) lang = gr.Textbox(value="zh2en", visible=False) gr.Markdown("**Examples**") example_btns: list[tuple[gr.Button, str, str, str]] = [] with gr.Row(): for i, (sample, src, tgt) in enumerate(EXAMPLES, start=1): preview = sample.replace("\n", " ")[:28] if len(sample) > 28: preview += "…" btn = gr.Button(f"{i}. {preview}", size="sm", variant="secondary") example_btns.append((btn, sample, src, tgt)) input_text = gr.Textbox( label="Source text", placeholder=( "Enter patent-related text. Supports Chinese, English, " "Japanese, Korean, and more." ), lines=8, elem_id="input-box", ) with gr.Row(elem_classes=["toolbar-row"]): submit_btn = gr.Button("Translate", variant="primary", scale=0) clear_btn = gr.Button("Clear", scale=0) copy_btn = gr.Button( "Copy full translation", variant="secondary", interactive=False, scale=0, elem_id="copy-translation-btn", ) with gr.Column( visible=False, elem_classes=["results-panel-col"] ) as results_panel: gr.HTML(RESULTS_SHELL_HTML, elem_id="translation-results") stream_state = gr.Textbox( value=_stream_state_payload( visible_pairs=[], full="", lang="zh2en", percent=0, status="Ready", ), visible=False, elem_id="hiro-stream-state", ) def _combine_lang(src: str, tgt: str) -> str: return f"{src}2{tgt}" source_lang.change( _combine_lang, inputs=[source_lang, target_lang], outputs=[lang] ) target_lang.change( _combine_lang, inputs=[source_lang, target_lang], outputs=[lang] ) for btn, sample, src, tgt in example_btns: btn.click( lambda _s=sample, _src=src, _tgt=tgt: (_s, _src, _tgt, f"{_src}2{_tgt}"), outputs=[input_text, source_lang, target_lang, lang], ) submit_btn.click( fn=run_translation, inputs=[input_text, lang, mode], outputs=[stream_state, results_panel, copy_btn], ) stream_state.change( fn=None, inputs=[stream_state], outputs=None, js=UPDATE_RESULTS_JS, queue=False, ) copy_btn.click( fn=None, inputs=None, outputs=None, js=COPY_TRANSLATION_JS, queue=False, ) def on_clear(): payload = _stream_state_payload( visible_pairs=[], full="", lang="zh2en", percent=0, status="Waiting for input…", reset=True, ) return "", *_pack_outputs( stream_payload=payload, panel_visible=False, copy_enabled=False ) clear_btn.click( on_clear, outputs=[input_text, stream_state, results_panel, copy_btn], ) parse_btn.click( fn=run_smartdoc, inputs=[doc_file], outputs=[smartdoc_status, smartdoc_md, smartdoc_json], ) def on_clear_doc(): return ( None, 'Select a file to begin
', "*Rendered Markdown will appear here after parsing.*", "[]", ) clear_doc_btn.click( on_clear_doc, outputs=[doc_file, smartdoc_status, smartdoc_md, smartdoc_json], ) demo.load(fn=None, js=INIT_STREAM_WATCH_JS) return demo demo = build_ui() demo.queue(default_concurrency_limit=2) if __name__ == "__main__": # Spaces health-check needs 0.0.0.0 (not 127.0.0.1). demo.launch(server_name="0.0.0.0", server_port=7860)