diff --git a/generate_random_predictions.py b/generate_random_predictions.py
index 429d22c..e85158f 100644
--- a/generate_random_predictions.py
+++ b/generate_random_predictions.py
@@ -32,7 +32,10 @@ def _policy(candidates):
 for _idx, _impression in enumerate(data):
     predictions = _policy(_impression["candidates"])
     predictionline = _format_predictions(predictions)
-    output.write(predictionline+"\n")
+    predictionline + "\n"
+    predictionline = predictionline.encode() #Note this is important for python3 compatibility as we are writing in "wb" mode
+    output.write(predictionline)
+
     if _idx % 500 == 0:
         print("Processed {} impressions...".format(_idx))
 
diff --git a/utils.py b/utils.py
index a8ef59f..ec8190a 100644
--- a/utils.py
+++ b/utils.py
@@ -7,6 +7,8 @@ def extract_impression_id(line, assert_first_line=False):
     """
         Extracts the impression_id from a line
     """
+    if type(line) == bytes:
+        line = line.decode()
     return line[:line.index("|")].strip()
 
 def extract_cost_propensity(line):
@@ -18,6 +20,8 @@ def extract_cost_propensity(line):
         line: `string`
 
     """
+    if type(line) == bytes:
+        line = line.decode()
     line_items = line.split("|")
     assert len(line_items) == 4
     cost = float(line_items[1].replace("l ","").strip())
@@ -27,6 +31,8 @@ def extract_cost_propensity(line):
     return cost, propensity
 
 def extract_features(line, debug=False):
+    if type(line) == bytes:
+        line = line.decode()
     features_index = line.index("|f ")
     feature_string = line[features_index:].replace("|f ","")
     feature_set = feature_string.split()