diff --git a/cam.py b/cam.py
index eb8818c..a8135ba 100755
--- a/cam.py
+++ b/cam.py
@@ -3,73 +3,73 @@
 import os
 import sys
 import platform
-from pynput.keyboard import *
+from pynput.keyboard import Key, Listener
 
 def on_press(key):
-	finish(key)
+    finish(key)
 
 def on_release(key):
-	pass
+    pass
 
 listener = Listener(on_press=on_press, on_release=on_release)
 
 def finish(key):
-	if key == Key.esc:
-		listener.stop()
-		os._exit(0)
+    if key == Key.esc:
+        listener.stop()
+        os._exit(0)
 
 def main():
+    vc = None
 
-	vc = None
+    if platform.system() == 'Windows':
+        vc = cv.VideoCapture(0, cv.CAP_DSHOW)
+    elif platform.system() == 'Linux':
+        vc = cv.VideoCapture(0)
 
-	if platform.system() == 'Windows':
-		vc = cv.VideoCapture(0,cv.CAP_DSHOW)
+    if vc.isOpened():
+        rval, frame = vc.read()
+    else:
+        rval = False
 
-	elif platform.system() == 'Linux':
-		vc = cv.VideoCapture(0)
+    if rval:
+        listener.start()
 
-	if vc.isOpened():
-		rval, frame = vc.read()
-	else:
-		rval = False
+    while rval:
+        rval, frame = vc.read()
+        print(toASCII(frame))
 
-	if rval:
-		listener.start()
+    vc.release()  # Release the video capture when done
+    cv.destroyAllWindows()  # Close any OpenCV windows
 
-	while rval:
-		rval, frame = vc.read()
-		print(toASCII(frame))
-		
+    sys.exit()
 
-	sys.exit()
-
-def toASCII(frame, cols = 120, rows = 35):
-
-	frame = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
-	height, width = frame.shape
-	cell_width = width / cols
-	cell_height = height / rows
-	if cols > width or rows > height:
-		raise ValueError('Too many cols or rows.')
-	result = ""
-	for i in range(rows):
-		for j in range(cols):
-			gray = np.mean(
-				frame[int(i * cell_height):min(int((i + 1) * cell_height), height), int(j * cell_width):min(int((j + 1) * cell_width), width)]
-			)
-			result += grayToChar(gray)
-		result += '\n'
-	return result
+def toASCII(frame, cols=120, rows=35):
+    frame = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
+    height, width = frame.shape
+    cell_width = width / cols
+    cell_height = height / rows
+    if cols > width or rows > height:
+        raise ValueError('Too many cols or rows.')
+    result = ""
+    for i in range(rows):
+        for j in range(cols):
+            gray = np.mean(
+                frame[int(i * cell_height):min(int((i + 1) * cell_height), height),
+                int(j * cell_width):min(int((j + 1) * cell_width), width)]
+            )
+            result += grayToChar(gray)
+        result += '\n'
+    return result
 
 def grayToChar(gray):
-  CHAR_LIST = ' .:-=+*#%@' # Replace by " .',;:clodxkO0KXNWM" if you want more precision.
-	num_chars = len(CHAR_LIST)
-	return CHAR_LIST[
-		min(
-			int(gray * num_chars / 255),
-			num_chars - 1
-		)
-	]
-	
+    CHAR_LIST = ' .:-=+*#%@'  # Replace by " .',;:clodxkO0KXNWM" for more precision.
+    num_chars = len(CHAR_LIST)
+    return CHAR_LIST[
+        min(
+            int(gray * num_chars / 255),
+            num_chars - 1
+        )
+    ]
+
 if __name__ == '__main__':
-		main()
+    main()