Add WAV file support with MP3 conversion and reuse

- Add support for WAV files with automatic conversion to MP3
- Save converted MP3 files in the same directory as WAV files
- Reuse existing MP3 files if already converted
- Update documentation and requirements

main.py

@@ -4,7 +4,7 @@ import os
 from tqdm import tqdm
 
 from src.cli import parse_args
-from src.utils import find_audio_files, ensure_directory_exists
+from src.utils import find_audio_files, ensure_directory_exists, convert_wav_to_mp3
 from src.transcriber import transcribe_audio
 from src.enhancer import enhance_note
 
@@ -27,7 +27,7 @@ def main():
         base_name = os.path.splitext(os.path.basename(audio_path))[0]
         txt_path = os.path.join(output_dir, base_name + ".txt")
         md_path = os.path.join(output_dir, base_name + ".md")
-
+        
         # Skip if enhanced note already exists (unless force flag is set)
         if os.path.exists(md_path) and not args.force:
             print(f"Skipping {audio_path} - enhanced note already exists at {md_path}")
@@ -39,9 +39,20 @@ def main():
             with open(txt_path, "r", encoding="utf-8") as f:
                 transcription = f.read()
         else:
+            # Convert WAV to MP3 if needed
+            path_to_transcribe = audio_path
+            
+            if audio_path.lower().endswith(".wav"):
+                print(f"Processing WAV file: {audio_path}")
+                mp3_path = convert_wav_to_mp3(audio_path)
+                if mp3_path:
+                    path_to_transcribe = mp3_path
+                else:
+                    print(f"Warning: Failed to convert {audio_path}. Will attempt to transcribe the WAV file directly.")
+            
             # Transcribe audio
             transcription = transcribe_audio(
-                audio_path,
+                path_to_transcribe,
                 txt_path,
                 model_size=model_size,
                 turbo=args.turbo