feat: surface raw ocr text

app.py

@@ -329,6 +329,7 @@ def run_pipeline(image: Optional[Image.Image]):
             None,
             "이미지를 먼저 업로드해 주세요.",
             "📷 약 봉투 사진을 올리면 인식이 시작돼요.",
+            "",
         )
 
     output = ocr_and_parse(image)
@@ -337,7 +338,7 @@ def run_pipeline(image: Optional[Image.Image]):
     json_text = json.dumps(output, ensure_ascii=False, indent=2)
     explanations = build_explanations(output)
     warnings_md = format_warnings(output.get("warnings", []))
-    return json_text, card, csv_row, explanations, warnings_md
+    return json_text, card, csv_row, explanations, warnings_md, output.get("raw_text", "")
 
 
 CUSTOM_CSS = """
@@ -383,6 +384,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=CUSTOM_CSS) as demo:
         with gr.Column(scale=6, elem_classes=["glass-panel"]):
             gr.Markdown("### 2. 결과를 확인하세요")
             explain_md = gr.Markdown("여기에 약 설명이 표시됩니다.", elem_classes=["output-card"])
+            raw_box = gr.Textbox(label="OCR 원문 텍스트", lines=5, interactive=False)
             card_out = gr.Image(type="pil", label="일정 카드(미리보기)")
             csv_box = gr.Textbox(label="CSV(약명,1회용량,1일횟수,시간대)", lines=2, elem_classes=["csv-box"])
             with gr.Accordion("세부 JSON 결과", open=False, elem_classes=["accordion"]):
@@ -391,7 +393,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=CUSTOM_CSS) as demo:
     btn.click(
         run_pipeline,
         inputs=img_in,
-        outputs=[json_out, card_out, csv_box, explain_md, warn_md],
+        outputs=[json_out, card_out, csv_box, explain_md, warn_md, raw_box],
     )
 
     gr.Markdown(