Update app.py

app.py

@@ -220,26 +220,52 @@ def handle_docx(file):
         (df_norm if df_norm is not None else pd.DataFrame()),
     )
 
+#def handle_image(img):
+#    if img is None:
+#        return "(no image)", {}, None, pd.DataFrame(), 0.0, 0.0, 10, pd.Timestamp.now().year, {}, pd.DataFrame()
+#    from PIL import Image as PILImage
+#    pil = img if isinstance(img, PILImage.Image) else PILImage.fromarray(img)
+#    ocr_text = _image_to_text(pil)
+#    params = _extract_params(ocr_text or "")
+#    df_raw = _table_from_ocr_text(ocr_text or "")
+#    df_norm = _normalize_depr_columns(df_raw) if df_raw is not None else None
+#    cost, salv, life, year = _params_tuple(params)
+#    return (
+#        ocr_text or "(empty OCR)",
+#        params,
+#        df_raw,
+#        (df_norm if df_norm is not None else pd.DataFrame()),
+#        cost, salv, life, year,
+#       params,
+#        (df_norm if df_norm is not None else pd.DataFrame()),
+#   )
+
 def handle_image(img):
     if img is None:
-        return "(no image)", {}, None, pd.DataFrame(), 0.0, 0.0, 10, pd.Timestamp.now().year, {}, pd.DataFrame()
+        return "(no image)", {}, pd.DataFrame(), pd.DataFrame(), 0.0, 0.0, 10, pd.Timestamp.now().year, {}, pd.DataFrame()
+
     from PIL import Image as PILImage
     pil = img if isinstance(img, PILImage.Image) else PILImage.fromarray(img)
+
     ocr_text = _image_to_text(pil)
     params = _extract_params(ocr_text or "")
     df_raw = _table_from_ocr_text(ocr_text or "")
-    df_norm = _normalize_depr_columns(df_raw) if df_raw is not None else None
+    df_norm = _normalize_depr_columns(df_raw) if df_raw is not None else pd.DataFrame()
+
     cost, salv, life, year = _params_tuple(params)
+
     return (
         ocr_text or "(empty OCR)",
         params,
-        df_raw,
-        (df_norm if df_norm is not None else pd.DataFrame()),
-        cost, salv, life, year,
-        params,
-        (df_norm if df_norm is not None else pd.DataFrame()),
+        df_raw,                  # raw table shown in OCR tab
+        df_norm,                 # normalized table shown in OCR tab
+        cost, salv, life, year,  # auto-fill numbers
+        params,                  # save params state
+        df_norm                  # 🔹 save normalized table to last_table (same as docx)
     )
 
+
+
 def fill_from_state(p):
     p = p or {}
     return (