Upload male_voice.py

male_voice.py

@@ -1,12 +1,50 @@
+# male_voice.py
+import pyttsx3
+from pathlib import Path
+import asyncio
+from typing import Union
 
-import edge_tts
+def text_to_speech(text: str, output_path: Union[str, Path]) -> bool:
+    """
+    Convert text to speech and save to file using pyttsx3.
+    Returns True on success.
+    """
+    try:
+        engine = pyttsx3.init()
+        engine.setProperty('rate', 150)  # Speaking speed
 
-voice = "en-US-GuyNeural"  # male voice
-rate = "+0%"
+        # Select male voice (prioritize David, then any non-Zira)
+        voices = engine.getProperty('voices')
+        selected = False
+        for voice in voices:
+            name = voice.name.lower()
+            if 'david' in name or ('male' in name and 'zira' not in name):
+                engine.setProperty('voice', voice.id)
+                selected = True
+                break
 
-async def text_to_speech(text, filename):
-    communicate = edge_tts.Communicate(text, voice=voice, rate=rate)
-    await communicate.save(filename)
-    print(f"Audio saved as {filename}")
+        if not selected and voices:
+            engine.setProperty('voice', voices[0].id)  # fallback
 
+        # Ensure output path is Path object
+        output_path = Path(output_path)
+        output_path.parent.mkdir(parents=True, exist_ok=True)
 
+        # Save to file
+        engine.save_to_file(text, str(output_path))
+        engine.runAndWait()
+
+        print(f"[pyttsx3] Saved: {output_path}")
+        return True
+
+    except Exception as e:
+        print(f"[pyttsx3] Error: {e}")
+        return False
+
+
+async def text_to_speech_async(text: str, output_path: Union[str, Path]) -> bool:
+    """
+    Async wrapper for text_to_speech using asyncio.to_thread.
+    Prevents blocking the Streamlit event loop.
+    """
+    return await asyncio.to_thread(text_to_speech, text, output_path)