Update app.py

app.py

@@ -59,9 +59,24 @@ Skills: Backend Engineer, Node.js, AWS, Microservices, IoT, SaaS, Serverless, AP
 
 
 def parse_csv_to_candidates(filepath: str) -> tuple[List[Candidate], pd.DataFrame, str]:
-    """Parse uploaded CSV into Candidate objects. Returns (candidates, df, error)."""
+    """Parse uploaded file (CSV/XLSX) into Candidate objects."""
     try:
-        df = pd.read_csv(filepath).fillna("")
+        # ✅ Handle CSV + encoding fallback
+        if filepath.endswith(".csv"):
+            try:
+                df = pd.read_csv(filepath, encoding="utf-8")
+            except UnicodeDecodeError:
+                df = pd.read_csv(filepath, encoding="latin-1")
+
+        # ✅ Handle Excel
+        elif filepath.endswith(".xlsx"):
+            df = pd.read_excel(filepath)
+
+        else:
+            return [], pd.DataFrame(), "Unsupported file type. Use CSV or XLSX."
+
+        df = df.fillna("")
+
         candidates = []
 
         # Smart column detection
@@ -94,9 +109,9 @@ def parse_csv_to_candidates(filepath: str) -> tuple[List[Candidate], pd.DataFram
             ))
 
         return candidates, df, ""
-    except Exception as e:
-        return [], pd.DataFrame(), f"Error parsing CSV: {e}"
 
+    except Exception as e:
+        return [], pd.DataFrame(), f"Error parsing file: {e}"
 
 def build_shortlist_table(response: EvaluationResponse) -> pd.DataFrame:
     rows = []