Merge pull request #12 from GOTHIC3020/main

Spelling corrections Closes #10

script.py

@@ -27,17 +27,17 @@ def voice_preview():
 
 def ui():
     info_voice = """Select a Voice. \nThe default voice is a 50-50 mix of Bella & Sarah\nVoices starting with 'a' are American
-     englisch, voices with 'b' are British englisch"""
+     english, voices with 'b' are British english"""
     with gr.Accordion("Kokoro"):
         voice = gr.Dropdown(choices=VOICES, value=VOICES[0], label="Voice", info=info_voice, interactive=True)
 
         preview = gr.Button("Voice preview", type="secondary")
 
         preview_output = gr.HTML()
 
-        info_splitting ="""Kokoro only supports 510 tokens. One method to split the text is by sentance (default), the otherway
+        info_splitting ="""Kokoro only supports 510 tokens. One method to split the text is by sentence (default), the otherway
         is by word up to 510 tokens. """
-        spltting_method = gr.Radio(["Split by Sentance", "Split by Word"], info=info_splitting, value="Split by Sentance", label_lines=2, interactive=True)
+        spltting_method = gr.Radio(["Split by sentence", "Split by Word"], info=info_splitting, value="Split by sentence", label_lines=2, interactive=True)
 
 
     voice.change(voice_update, voice)

src/generate.py

@@ -38,7 +38,7 @@ def download_kokoro_weights():
 
 snapshot_path = download_kokoro_weights()
 
-# Download the models for sentance splitting
+# Download the models for sentence splitting
 nltk.download('punkt')
 nltk.download('punkt_tab')
 
@@ -106,22 +106,22 @@ def run(text, preview=False):
 
     return msg_id
 
-sentance_based = True
+sentence_based = True
 
-def set_plitting_type(method="Split by Sentance"):
+def set_plitting_type(method="Split by sentence"):
     """Set the splitting method for the text.
 
     Args:
-        method (str, optional): The splitting method. Defaults to "Split by Sentance".
+        method (str, optional): The splitting method. Defaults to "Split by sentence".
     """
-    global sentance_based
-    sentance_based = True if method == "Split by Sentance" else False
-    print(f'Splitting method: {"Sentance" if sentance_based else "Word"}')
+    global sentence_based
+    sentence_based = True if method == "Split by sentence" else False
+    print(f'Splitting method: {"sentence" if sentence_based else "Word"}')
 
 set_plitting_type()
 
 def split_text(text):
-    """Split the text into chunks of sentances or word up to 510 token.
+    """Split the text into chunks of sentences or word up to 510 token.
 
     Args:
         text (str): The text to split.
@@ -133,7 +133,7 @@ def split_text(text):
     global MODEL
 
     max_token = 510
-    text_parts = sent_tokenize(text) if sentance_based else text.split()
+    text_parts = sent_tokenize(text) if sentence_based else text.split()
     current_text_parts = []
     chunks = []
     current_chunk_len = 0
@@ -221,4 +221,4 @@ def concatenate_audio_segments(segments):
     return audio_segment
 
 if __name__ == '__main__':
-    run("Hello, this is an example of a text for Kokoro")
+    run("Hello, this is an example of a text for Kokoro")