Update app.py

app.py

@@ -27,19 +27,6 @@ classifier = TextClassificationPipeline(model=new_model, tokenizer=new_tokenizer
 
 label_mapping = {1: '1/5', 2: '2/5', 3: '3/5', 4: '4/5', 5: '5/5'}
 
-# Function to parse Excel file
-def parse_xl(file_path):
-    cells = []
-
-    workbook = load_workbook(filename=file_path)
-    for sheet in workbook.worksheets:
-        for row in sheet.iter_rows():
-            for cell in row:
-                if cell.value != None:
-                    cells.append(cell.value)
-
-    return cells
-
 # Function to display and filter the Excel workbook
 def filter_xl(file, keywords):
     # Load the workbook and convert it to a DataFrame