From 88cd83f87ec5891612b8d132c68c6143d2e53358 Mon Sep 17 00:00:00 2001
From: Adolfo Reyna <aeroreyna@gmail.com>
Date: Thu, 26 Feb 2026 21:13:48 -0500
Subject: [PATCH] Fix lzma import error and use MarianMT translation

---
 transcribe.py | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/transcribe.py b/transcribe.py
index 5fee545..4771884 100644
--- a/transcribe.py
+++ b/transcribe.py
@@ -1,15 +1,22 @@
+import sys
+from unittest.mock import MagicMock
+
+# Workaround for missing _lzma in some Python builds
+try:
+    import lzma
+except ImportError:
+    sys.modules["_lzma"] = MagicMock()
+
 import mlx_whisper
 import numpy as np
 import sounddevice as sd
 import queue
-import sys
 import torch
 from silero_vad import load_silero_vad, get_speech_timestamps
 from transformers import MarianMTModel, MarianTokenizer
 
 # Parameters
 WHISPER_MODEL = "mlx-community/whisper-small.en-mlx"
-# Dedicated EN-ES translation model (very fast and accurate)
 TRANSLATE_MODEL = "Helsinki-NLP/opus-mt-en-es"
 CHANNELS = 1
 SAMPLERATE = 16000
@@ -77,7 +84,7 @@ def main():
                             original_text = result['text'].strip()
                             
                             if original_text:
-                                # 2. Translate using dedicated MarianMT
+                                # 2. Translate
                                 inputs = tokenizer(original_text, return_tensors="pt", padding=True).to(device)
                                 with torch.no_grad():
                                     translated_tokens = model.generate(**inputs)