Update app.py

app.py

@@ -8,7 +8,7 @@
 #    - Lyrics mode: Enable word_timestamps for music-like precision.
 #    - Trim: Skip short/silent segments (<0.5s).
 # 4. Enhancements: Word emphasis (e.g., wrap "wow" in bold/color tags).
-# 5. Translation: Optional to 120+ langs via googletrans (stable version).
+# 5. Translation: Optional to 120+ langs via deep-translator (stable, fixes googletrans errors).
 # 6. ASS subtitle creation: Styled with fonts/colors/sizes/positions/animations/emojis.
 # 7. Burn to video: FFmpeg overlays HD output, no watermark.
 # 8. UI: Simple, free, viral-ready for Reels/YouTube.
@@ -21,7 +21,7 @@ from transformers import pipeline
 import torch
 import ffmpeg
 from yt_dlp import YoutubeDL
-from googletrans import Translator  # Stable version now
+from deep_translator import GoogleTranslator  # Stable replacement for googletrans
 
 # Model options (lighter for speed)
 MODEL_CHOICES = {
@@ -36,9 +36,7 @@ FONTS = ["Arial", "Montserrat"]  # Add more if custom fonts available
 COLORS = ["white", "yellow", "black"]
 SIZES = ["small (24)", "medium (32)", "large (40)"]
 POSITIONS = ["bottom", "top"]
-LANGUAGES = ["en", "hi", "fr", "es"]  # Sample; extend to 120+ with googletrans
-
-translator = Translator()  # googletrans instance
+LANGUAGES = ["en", "hi", "fr", "es"]  # Sample; extend to 120+ with deep-translator
 
 def download_youtube(url, progress=gr.Progress()):
     """Download YouTube video using yt-dlp (Blink-like: social input support)."""
@@ -106,11 +104,13 @@ def transcribe_audio(audio_path, model_name, lyrics_mode, progress=gr.Progress()
     return trimmed_segments  # List of {'text': , 'start': , 'end': }
 
 def translate_text(text, target_lang):
-    """Optional translation (Blink-like: 120+ langs)."""
+    """Optional translation (Blink-like: 120+ langs, using deep-translator)."""
     if target_lang == "en":  # No translate
         return text
     try:
-        return translator.translate(text, dest=target_lang).text
+        # Instantiate per call for stability (source auto-detect)
+        translator = GoogleTranslator(source='auto', target=target_lang)
+        return translator.translate(text)
     except Exception:
         return text  # Fallback on error