Added main function as entry point

tts.py

@@ -10,53 +10,57 @@ import scipy
 import numpy as np
 import IPython.display as ipd
 
+def main():
+    """
+    Defined starting point of source code.
+    """
 
-models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
-    "facebook/fastspeech2-en-ljspeech",
-    arg_overrides={"vocoder": "hifigan", "fp16": False}
-)
+    models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
+        "facebook/fastspeech2-en-ljspeech",
+        arg_overrides={"vocoder": "hifigan", "fp16": False}
+    )
 
-TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
-generator = task.build_generator(models, cfg)
+    TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
+    generator = task.build_generator(models, cfg)
 
-full_wave_file = []
-rate = 44100
-sentences = []
+    full_wave_file = []
+    rate = 44100
+    sentences = []
 
-# Read input file
-with open(f"input.txt", "r") as f:
-    lines = f.readlines()
+    # Read input file
+    with open(f"input.txt", "r") as f:
+        lines = f.readlines()
 
-# Convert to sentences
-for line in lines:
-    line = line.replace("-", " - ")
-    line = line.replace("/", ", ")
-    line = line.replace("—", ". ")
-    line = line.replace(":", ". ")
-    line = line.replace(";", ". ")
-    line = line.replace("(", ". ")
-    line = line.replace(")", ". ")
-    for x in line.split(". "):
-        # print(x)
-        sentences.append(x.strip())
-        # print(sentences)
-        sentences.append("<PAUSE>")
-        # print(sentences)
+    # Convert to sentences
+    for line in lines:
+        line = line.replace("-", " - ")
+        line = line.replace("/", ", ")
+        line = line.replace("—", ". ")
+        line = line.replace(":", ". ")
+        line = line.replace(";", ". ")
+        line = line.replace("(", ". ")
+        line = line.replace(")", ". ")
+        for x in line.split(". "):
+            sentences.append(x.strip())
+            sentences.append("<PAUSE>")
 
-# Synthesis text
-for text in sentences:
-    if text == "":
-        continue
+    # Synthesis text
+    for text in sentences:
+        if text == "":
+            continue
 
-    if text == "<PAUSE>":
-        full_wave_file.extend(np.zeros(rate))
-        continue
+        if text == "<PAUSE>":
+            full_wave_file.extend(np.zeros(rate))
+            continue
 
-    sample = TTSHubInterface.get_model_input(task, text)
-    wav, rate = TTSHubInterface.get_prediction(task, models[0], generator, sample)
+        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)
+        wav = wav.numpy()
+        full_wave_file.extend(wav)
 
-full_wave_file = np.array(full_wave_file, dtype=np.float32)
-scipy.io.wavfile.write("test.wav", rate, full_wave_file)
+    full_wave_file = np.array(full_wave_file, dtype=np.float32)
+    scipy.io.wavfile.write("test.wav", rate, full_wave_file)
+
+if __name__ == "__main__":
+    main()