Final cleanup of lint output

tts.py

@@ -11,10 +11,21 @@ from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
 import scipy
 import numpy as np
 
+def read_input_file(name: str):
+    """
+    Read lines from input file
+    """
+    with open(name, "r", encoding="utf-8") as file:
+        lines = file.readlines()
+    return lines
+
 def main():
     """
     Defined starting point of source code.
     """
+    rate = 44100
+    full_wave_file = []
+    sentences = []
 
     # Parsing command line arguments
     parser = argparse.ArgumentParser(description='Convert teext to speech.')
@@ -30,13 +41,8 @@ def main():
     TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
     generator = task.build_generator(models, cfg)
 
-    full_wave_file = []
-    rate = 44100
-    sentences = []
-
     # Read input file
-    with open(args['input'], "r", encoding="utf-8") as file:
-        lines = file.readlines()
+    lines = read_input_file(args['input'])
 
     # Convert to sentences
     for line in lines: