Issue solved with comma separated numbers

app.py

@@ -109,7 +109,10 @@ def process_csv(file):
         # Insert an empty row
         df = pd.concat([df.iloc[:idx], pd.DataFrame([{'Separator': 'Separator'}]), df.iloc[idx:]]).reset_index(drop=True)
 
-    
+    # df['HIGH PRICE'] = df['HIGH PRICE'].str.replace(',', '')
+    price_columns = ['HIGH PRICE', 'LOW PRICE']
+    df[price_columns] = df[price_columns].replace({',': ''}, regex=True).apply(pd.to_numeric, errors='coerce')
+
     # Calculate global thresholds for HIGH PRICE and LOW PRICE columns
     high_price_threshold = calculate_threshold(df['HIGH PRICE'].max(), is_high_price=True)
     low_price_threshold = calculate_threshold(df['LOW PRICE'].min(), is_high_price=False)