Fixed output encoding for written files on windows

lyrics_transcriber/transcriber.py

@@ -277,7 +277,7 @@ def write_corrected_lyrics_data_file(self):
  total_segments = len(self.outputs["transcription_data_dict"]["segments"])
  self.logger.info(f"Beginning correction using LLM, total segments: {total_segments}")
 
- with open(self.outputs["llm_transcript_filepath"], "a", buffering=1) as llm_transcript_file:
+ with open(self.outputs["llm_transcript_filepath"], "a", buffering=1, encoding="utf-8") as llm_transcript_file:
  self.logger.debug(f"writing LLM chat instructions: {self.outputs['llm_transcript_filepath']}")
 
  llm_transcript_header = f"--- SYSTEM instructions passed in for all segments ---:\n\n{system_prompt}\n"
@@ -373,7 +373,7 @@ def write_corrected_lyrics_data_file(self):
  self.logger.info(f'Successfully processed correction for all {len(corrected_lyrics_dict["segments"])} lyrics segments')
 
  self.logger.debug(f"writing corrected lyrics data JSON filepath: {corrected_lyrics_data_json_cache_filepath}")
- with open(corrected_lyrics_data_json_cache_filepath, "w") as corrected_lyrics_data_json_cache_file:
+ with open(corrected_lyrics_data_json_cache_filepath, "w", encoding="utf-8") as corrected_lyrics_data_json_cache_file:
  corrected_lyrics_data_json_cache_file.write(json.dumps(corrected_lyrics_dict, indent=4))
 
  self.outputs["corrected_lyrics_data_filepath"] = corrected_lyrics_data_json_cache_filepath
@@ -408,7 +408,7 @@ def write_corrected_lyrics_plain_text(self):
  self.outputs["corrected_lyrics_text"] = ""
 
  self.logger.debug(f"writing lyrics plain text to corrected_lyrics_text_filepath: {corrected_lyrics_text_filepath}")
- with open(corrected_lyrics_text_filepath, "w") as f:
+ with open(corrected_lyrics_text_filepath, "w", encoding="utf-8") as f:
  for corrected_segment in self.outputs["corrected_lyrics_data_dict"]["segments"]:
  self.outputs["corrected_lyrics_text"] += corrected_segment["text"].strip() + "\n"
  f.write(corrected_segment["text".strip()] + "\n")
@@ -455,7 +455,7 @@ def write_spotify_lyrics_data_file(self):
  self.logger.debug(
  f"writing lyrics data JSON to spotify_lyrics_data_json_cache_filepath: {spotify_lyrics_data_json_cache_filepath}"
  )
- with open(spotify_lyrics_data_json_cache_filepath, "w") as f:
+ with open(spotify_lyrics_data_json_cache_filepath, "w", encoding="utf-8") as f:
  f.write(spotify_lyrics_json)
  except Exception as e:
  self.logger.warn(f"caught exception while attempting to fetch from spotify: ", e)
@@ -475,7 +475,7 @@ def write_spotify_lyrics_plain_text(self):
  self.outputs["spotify_lyrics_text"] = ""
 
  self.logger.debug(f"writing lyrics plain text to spotify_lyrics_text_filepath: {spotify_lyrics_text_filepath}")
- with open(spotify_lyrics_text_filepath, "w") as f:
+ with open(spotify_lyrics_text_filepath, "w", encoding="utf-8") as f:
  for line in lines:
  self.outputs["spotify_lyrics_text"] += line["words"].strip() + "\n"
  f.write(line["words"].strip() + "\n")
@@ -507,7 +507,7 @@ def write_genius_lyrics_file(self):
  lyrics = self.clean_genius_lyrics(song.lyrics)
 
  self.logger.debug(f"writing clean lyrics to genius_lyrics_cache_filepath: {genius_lyrics_cache_filepath}")
- with open(genius_lyrics_cache_filepath, "w") as f:
+ with open(genius_lyrics_cache_filepath, "w", encoding="utf-8") as f:
  f.write(lyrics)
 
  self.outputs["genius_lyrics_filepath"] = genius_lyrics_cache_filepath
@@ -561,7 +561,7 @@ def write_midico_lrc_file(self):
 
  lrc_filename = self.outputs["midico_lrc_filepath"]
  self.logger.debug(f"writing midico formatted word timestamps to LRC file: {lrc_filename}")
- with open(lrc_filename, "w") as f:
+ with open(lrc_filename, "w", encoding="utf-8") as f:
  f.write("[re:MidiCo]\n")
  for segment in self.outputs["corrected_lyrics_data_dict"]["segments"]:
  for i, word in enumerate(segment["words"]):
@@ -755,7 +755,7 @@ def write_transcribed_lyrics_plain_text(self):
  self.outputs["transcribed_lyrics_text"] = ""
 
  self.logger.debug(f"writing lyrics plain text to transcribed_lyrics_text_filepath: {transcribed_lyrics_text_filepath}")
- with open(transcribed_lyrics_text_filepath, "w") as f:
+ with open(transcribed_lyrics_text_filepath, "w", encoding="utf-8") as f:
  for segment in self.outputs["transcription_data_dict"]["segments"]:
  self.outputs["transcribed_lyrics_text"] += segment["text"] + "\n"
  f.write(segment["text"].strip() + "\n")

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "lyrics-transcriber"
-version = "0.13.0"
+version = "0.13.1"
 description = "Automatically create synchronised lyrics files in ASS and MidiCo LRC formats with word-level timestamps, using Whisper and lyrics from Genius and Spotify"
 authors = ["Andrew Beveridge <[email protected]>"]
 license = "MIT"