diff --git a/videotron1.py b/videotron1.py
index ee0f3fe..621b227 100644
--- a/videotron1.py
+++ b/videotron1.py
@@ -1,36 +1,37 @@
 import pandas as pd
 import PySimpleGUI as sg
 sg.theme("Brownblue")
-layout = [[sg.T("")], [sg.Text("Choisir le fichier CSV: "), sg.Input(key="-IN2-" ,change_submits=True), sg.FileBrowse(key="-IN-")],[sg.Button("Submit")]]
+layout = [[sg.T("")], [sg.Text("Choisir le fichier CSV: "), sg.Input(key="-IN2-", change_submits=True),
+                       sg.FileBrowse(key="-IN-", file_types=(("Text Files", "*.csv")))], [sg.Button("Submit")]]
 
-window = sg.Window('VIDEOTRON MOBILE DATA CALCULATOR', layout, size=(600,150))
+window = sg.Window('VIDEOTRON MOBILE DATA CALCULATOR', layout, size=(600, 150))
 
 
 while True:
     event, values = window.read()
-    
-    if event == sg.WIN_CLOSED or event=="Exit":
+
+    if event == sg.WIN_CLOSED or event == "Exit":
         break
     elif event == "Submit":
-      pd.set_option('display.max_rows', None)
+        pd.set_option('display.max_rows', None)
 
-      df = pd.read_csv(values["-IN2-"], sep=";", encoding='unicode_escape', decimal=",", usecols=[9,20,39])
+        df = pd.read_csv(values["-IN2-"], sep=";",
+                         encoding='unicode_escape', decimal=",", usecols=[9, 20, 39])
 
-      df.replace('UTILISATION POUR LE', '', regex=True, inplace=True)
+        df.replace('UTILISATION POUR LE', '', regex=True, inplace=True)
 
-      df = df.set_axis(['USER', 'B', 'DATA'], axis=1)
-      df = df.replace('é', 'e', regex=True)
-      df = df.replace('Ã', 'E', regex=True)
-      df = df.replace('E´', 'o', regex=True)
-      df = df.replace('E§', 'c', regex=True)
-      df = df.replace('‰', '', regex=True)
+        df = df.set_axis(['USER', 'B', 'DATA'], axis=1)
+        df = df.replace('é', 'e', regex=True)
+        df = df.replace('Ã', 'E', regex=True)
+        df = df.replace('E´', 'o', regex=True)
+        df = df.replace('E§', 'c', regex=True)
+        df = df.replace('‰', '', regex=True)
 
-      df = df[df['B'].str.contains('DONN')]
+        df = df[df['B'].str.contains('DONN')]
 
-      df['DATA'] = df['DATA'].apply(lambda x: float(x.split()[0].replace(',', '.')))
+        df['DATA'] = df['DATA'].apply(
+            lambda x: float(x.split()[0].replace(',', '.')))
 
-      datasum = df.groupby('USER')['DATA'].sum(min_count=1).reset_index()
-    
-      print(datasum)
-        
+        datasum = df.groupby('USER')['DATA'].sum(min_count=1).reset_index()
 
+        print(datasum)