Update app.py

app.py

@@ -8,6 +8,11 @@ import numpy as np
 from scipy.io import wavfile
 from scipy.signal import correlate
 import tempfile
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 # Mapping of model names to Whisper model sizes
 MODELS = {
@@ -162,6 +167,7 @@ def detect_language(audio_file):
         
         return f"Detected Language: {detected_language}"
     except Exception as e:
+        logger.error(f"Error in detect_language: {str(e)}")
         return f"Error: {str(e)}"
 
 def remove_silence(audio_file, silence_threshold=-40, min_silence_len=500):
@@ -211,6 +217,7 @@ def remove_silence(audio_file, silence_threshold=-40, min_silence_len=500):
         
         return output_path
     except Exception as e:
+        logger.error(f"Error in remove_silence: {str(e)}")
         return f"Error: {str(e)}"
 
 def detect_and_trim_audio(main_audio, target_audio, threshold=0.5):
@@ -295,6 +302,7 @@ def detect_and_trim_audio(main_audio, target_audio, threshold=0.5):
         
         return output_path, timestamps_str
     except Exception as e:
+        logger.error(f"Error in detect_and_trim_audio: {str(e)}")
         return None, f"Error: {str(e)}"
 
 def transcribe_audio(audio_file, language="Auto Detect", model_size="Faster Whisper Large v3"):
@@ -354,6 +362,7 @@ def transcribe_audio(audio_file, language="Auto Detect", model_size="Faster Whis
         # Return transcription and detected language
         return f"Detected Language: {detected_language}\n\nTranscription:\n{transcription}"
     except Exception as e:
+        logger.error(f"Error in transcribe_audio: {str(e)}")
         return f"Error: {str(e)}"
 
 # Define the Gradio interface