diff --git a/main.py b/main.py
index 2f04e34e8..77833a4fe 100644
--- a/main.py
+++ b/main.py
@@ -14,7 +14,7 @@
 import argparse
 
 from models import *
-from utils import progress_bar
+from utils import get_progress_bar, update_progress_bar
 from torch.autograd import Variable
 
 
@@ -82,10 +82,12 @@
 # Training
 def train(epoch):
     print('\nEpoch: %d' % epoch)
+    print('Train')
     net.train()
     train_loss = 0
     correct = 0
     total = 0
+    progress_bar_obj = get_progress_bar(len(trainloader))
     for batch_idx, (inputs, targets) in enumerate(trainloader):
         if use_cuda:
             inputs, targets = inputs.cuda(), targets.cuda()
@@ -101,15 +103,17 @@ def train(epoch):
         total += targets.size(0)
         correct += predicted.eq(targets.data).cpu().sum()
 
-        progress_bar(batch_idx, len(trainloader), 'Loss: %.3f | Acc: %.3f%% (%d/%d)'
-            % (train_loss/(batch_idx+1), 100.*correct/total, correct, total))
+        update_progress_bar(progress_bar_obj, index=batch_idx, loss=(train_loss / (batch_idx + 1)),
+                            acc=(correct / total), c=correct, t=total)
 
 def test(epoch):
+    print('\nTest')
     global best_acc
     net.eval()
     test_loss = 0
     correct = 0
     total = 0
+    progress_bar_obj = get_progress_bar(len(testloader))
     for batch_idx, (inputs, targets) in enumerate(testloader):
         if use_cuda:
             inputs, targets = inputs.cuda(), targets.cuda()
@@ -122,13 +126,13 @@ def test(epoch):
         total += targets.size(0)
         correct += predicted.eq(targets.data).cpu().sum()
 
-        progress_bar(batch_idx, len(testloader), 'Loss: %.3f | Acc: %.3f%% (%d/%d)'
-            % (test_loss/(batch_idx+1), 100.*correct/total, correct, total))
+        update_progress_bar(progress_bar_obj, index=batch_idx, loss=(test_loss / (batch_idx + 1)),
+                            acc=(correct / total), c=correct, t=total)
 
     # Save checkpoint.
     acc = 100.*correct/total
     if acc > best_acc:
-        print('Saving..')
+        print('\nSaving..')
         state = {
             'net': net.module if use_cuda else net,
             'acc': acc,
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 000000000..ffa212e97
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,3 @@
+torch
+torchvision
+progressbar2
\ No newline at end of file
diff --git a/utils.py b/utils.py
index 4c9b3f90c..59978e778 100644
--- a/utils.py
+++ b/utils.py
@@ -8,6 +8,7 @@
 import time
 import math
 
+import progressbar
 import torch.nn as nn
 import torch.nn.init as init
 
@@ -42,54 +43,30 @@ def init_params(net):
                 init.constant(m.bias, 0)
 
 
-_, term_width = os.popen('stty size', 'r').read().split()
-term_width = int(term_width)
+def get_progress_bar(total):
+    format_custom_text = progressbar.FormatCustomText(
+        'Loss: %(loss).3f | Acc: %(acc).3f%% (%(c)d/%(t)d)',
+        dict(
+            loss=0,
+            acc=0,
+            c=0,
+            t=0,
+        ),
+    )
+    prog_bar = progressbar.ProgressBar(0, total, widgets=[
+        progressbar.Counter(), ' of {} '.format(total),
+        progressbar.Bar(),
+        ' ', progressbar.ETA(),
+        ' ', format_custom_text
+    ])
+    return prog_bar, format_custom_text
+
+
+def update_progress_bar(progress_bar_obj, index=None, loss=None, acc=None, c=None, t=None):
+    prog_bar, format_custom_text = progress_bar_obj
+    format_custom_text.update_mapping(loss=loss, acc=acc, c=c, t=t)
+    prog_bar.update(index)
 
-TOTAL_BAR_LENGTH = 65.
-last_time = time.time()
-begin_time = last_time
-def progress_bar(current, total, msg=None):
-    global last_time, begin_time
-    if current == 0:
-        begin_time = time.time()  # Reset for new bar.
-
-    cur_len = int(TOTAL_BAR_LENGTH*current/total)
-    rest_len = int(TOTAL_BAR_LENGTH - cur_len) - 1
-
-    sys.stdout.write(' [')
-    for i in range(cur_len):
-        sys.stdout.write('=')
-    sys.stdout.write('>')
-    for i in range(rest_len):
-        sys.stdout.write('.')
-    sys.stdout.write(']')
-
-    cur_time = time.time()
-    step_time = cur_time - last_time
-    last_time = cur_time
-    tot_time = cur_time - begin_time
-
-    L = []
-    L.append('  Step: %s' % format_time(step_time))
-    L.append(' | Tot: %s' % format_time(tot_time))
-    if msg:
-        L.append(' | ' + msg)
-
-    msg = ''.join(L)
-    sys.stdout.write(msg)
-    for i in range(term_width-int(TOTAL_BAR_LENGTH)-len(msg)-3):
-        sys.stdout.write(' ')
-
-    # Go back to the center of the bar.
-    for i in range(term_width-int(TOTAL_BAR_LENGTH/2)+2):
-        sys.stdout.write('\b')
-    sys.stdout.write(' %d/%d ' % (current+1, total))
-
-    if current < total-1:
-        sys.stdout.write('\r')
-    else:
-        sys.stdout.write('\n')
-    sys.stdout.flush()
 
 def format_time(seconds):
     days = int(seconds / 3600/24)