Update app.py

app.py

@@ -39,23 +39,6 @@ async def get_voices():
     voices = await edge_tts.list_voices()
     return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}
 
-def clean_text(text: str) -> str:
-    """
-    Cleans a text string by:
-    - Removing unwanted characters (except letters, digits, spaces, commas, periods)
-    - Fixing broken words caused by dots and spaces
-    - Normalizing spaces
-    """
-    # Remove unwanted characters
-    text = re.sub(r"[^a-zA-Z0-9\s,\.]", '', text)
-    # Fix broken words (remove dots and spaces between letters/digits)
-    text = re.sub(r'(?<=\w)[\.\s]+(?=\w)', '', text)
-    # Normalize multiple spaces to one
-    text = re.sub(r"\s+", ' ', text)
-    # Trim leading and trailing spaces
-    text = text.strip()
-    return text    
-
 # Text-to-speech function for a single paragraph with SS handling
 async def paragraph_to_speech(text, voice, rate, pitch):
     voice1 = "en-AU-WilliamNeural - en-AU (Male)"    
@@ -155,8 +138,7 @@ async def paragraph_to_speech(text, voice, rate, pitch):
             #    processed_text = part[4:]
             #    pitch = int(part[2:4])
             pitch_str = f"{current_pitch:+d}Hz"
-            texttosend = clean_text (processed_text)
-            communicate = edge_tts.Communicate(texttosend, current_voice, rate=rate_str, pitch=pitch_str)
+            communicate = edge_tts.Communicate(processed_text, current_voice, rate=rate_str, pitch=pitch_str)
             with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
                 tmp_path = tmp_file.name
                 await communicate.save(tmp_path)