diff --git a/Makefile b/Makefile
index 5abd252..dd530ee 100644
--- a/Makefile
+++ b/Makefile
@@ -21,10 +21,10 @@ $(VENV_NAME)/bin/activate:
 	${PYTHON} -m pip install -U pip
 	${PYTHON} -m pip install fairseq
 	${PYTHON} -m pip install scipy
-	${PYTHON} -m pip install IPython
 	${PYTHON} -m pip install huggingface_hub
 	${PYTHON} -m pip install tensorboardX
 	${PYTHON} -m pip install g2p_en
+	${PYTHON} -m pip install pylint
 	touch $(VENV_NAME)/bin/activate
 
 tts: env
diff --git a/tts.py b/tts.py
index 2eecbe1..4a0bdde 100644
--- a/tts.py
+++ b/tts.py
@@ -1,15 +1,16 @@
-# rm test.wav; python tts.py; play test.wav
 
-# Sources:
-# — https://huggingface.co/facebook/fastspeech2-en-ljspeech
-# — https://github.com/AI-Guru/arxiv-reader
+"""
+Text-to-speech synthesis (TTS)
 
+Sources:
+— https://huggingface.co/facebook/fastspeech2-en-ljspeech
+— https://github.com/AI-Guru/arxiv-reader
+"""
 import argparse
 from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
 from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
 import scipy
 import numpy as np
-import IPython.display as ipd
 
 def main():
     """
@@ -35,7 +36,7 @@ def main():
     sentences = []
 
     # Read input file
-    with open(args['input'], "r") as f:
+    with open(args['input'], "r", encoding="utf-8") as f:
         lines = f.readlines()
 
     # Convert to sentences
@@ -65,7 +66,7 @@ def main():
         line = line.replace(";", ". ")
         line = line.replace("?", "?.  ")
         line = line.replace("(", ". ")
-        # line = line.replace(")", ". ") # TODO: Check immune system article
+
         for x in line.split(". "):
             sentences.append(x.strip())
             sentences.append("<PAUSE>")
@@ -81,7 +82,7 @@ def main():
 
         sample = TTSHubInterface.get_model_input(task, text)
         wav, rate = TTSHubInterface.get_prediction(task, models[0], generator, sample)
-    
+
         wav = wav.numpy()
         full_wave_file.extend(wav)
 
@@ -89,4 +90,4 @@ def main():
     scipy.io.wavfile.write(args['output'], rate, full_wave_file)
 
 if __name__ == "__main__":
-    main()
\ No newline at end of file
+    main()