Update ui/ui_core.py

ui/ui_core.py

@@ -20,13 +20,12 @@ def clean_final_response(text: str) -> str:
     if len(responses) <= 1:
         return f"<div style='padding:1em;border:1px solid #ccc;border-radius:12px;color:#fff;background:#353F54;'><p>{cleaned}</p></div>"
 
-    # Support multiple [Final Analysis] sections
     panels = []
     for i, section in enumerate(responses[1:], 1):
         final = section.strip()
         panels.append(
-            f"<details style='background:#242C3B;color:#fff;border-radius:12px;margin-bottom:1em;border:1px solid #4B4CED;'>"
-            f"<summary style='font-size:1.1em;font-weight:bold;padding:0.75em;background:#4B4CED;color:#fff;border-radius:12px 12px 0 0;'>🧠 Final Analysis #{i}</summary>"
+            f"<details style='background:#1F2633;color:#fff;border-radius:12px;margin-bottom:1em;border:1px solid #37B6E9;'>"
+            f"<summary style='font-size:1.1em;font-weight:bold;padding:0.75em;background:#37B6E9;color:#fff;border-radius:12px 12px 0 0;'>🧠 Final Analysis #{i}</summary>"
             f"<div style='padding:1em;line-height:1.6;'>{final.replace(chr(10), '<br>')}</div>"
             f"</details>"
         )
@@ -40,21 +39,23 @@ def extract_all_text_from_csv_or_excel(file_path: str, progress=None, index=0, t
         if progress:
             progress((index + 1) / total, desc=f"Reading spreadsheet: {os.path.basename(file_path)}")
 
+        df = None
         if file_path.endswith(".csv"):
-            df = pd.read_csv(file_path, encoding="utf-8", errors="replace", low_memory=False)
+            df = pd.read_csv(file_path, encoding_errors="replace")
         elif file_path.endswith((".xls", ".xlsx")):
-            try:
-                df = pd.read_excel(file_path, engine="openpyxl")
-            except:
-                df = pd.read_excel(file_path, engine="xlrd")
+            df = pd.read_excel(file_path, engine=None)
         else:
             return f"Unsupported spreadsheet format: {file_path}"
 
+        if df is None or df.empty:
+            return f"⚠️ No data found in: {os.path.basename(file_path)}"
+
         lines = []
         for _, row in df.iterrows():
             line = " | ".join(str(cell) for cell in row if pd.notna(cell))
             if line:
                 lines.append(line)
+
         return f"\U0001F4C4 {os.path.basename(file_path)}\n\n" + "\n".join(lines)
 
     except Exception as e: