Update app.py

app.py

@@ -240,33 +240,28 @@ def handle_docx(file):
 #        (df_norm if df_norm is not None else pd.DataFrame()),
 #   )
 
-
-
 def handle_image(img):
     if img is None:
-        # Always return DataFrames, never None
-        empty = pd.DataFrame()
-        return "(no image)", {}, empty, empty, 0.0, 0.0, 10, pd.Timestamp.now().year, {}, empty
+        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) or ""
-    params   = _extract_params(ocr_text)
-    df_raw   = _table_from_ocr_text(ocr_text) or pd.DataFrame()  # ← coerce None → DF
-    df_norm  = _normalize_depr_columns(df_raw) if not df_raw.empty else pd.DataFrame()
+    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 pd.DataFrame()
 
     cost, salv, life, year = _params_tuple(params)
 
-    # Return exactly what the UI expects, and store norm into last_table
     return (
-        (ocr_text if ocr_text.strip() else "(empty OCR)"),
-        params,
-        df_raw,
-        df_norm,
-        cost, salv, life, year,
+        ocr_text or "(empty OCR)",
         params,
-        df_norm  # last_table state
+        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)
     )