Add new logging invocation for in-progress VOSK monitoring, as well as migrate to f-string syntax for rest of buscribe.

buscribe/buscribe/buscribe.py

@@ -55,6 +55,8 @@ def transcribe_segments(segments: list, sample_rate: int, recognizer: BuscribeRe
 
                 if line_start_time > start_of_transcript:
                     write_line(result_json, line_start_time, line_end_time, db_cursor)
+                    logging.info(f"Line successfully written for duration {line_end_time - line_start_time}")
+
 
         if stopping.is_set():
             return segments_end_time

buscribe/buscribe/main.py

@@ -61,18 +61,18 @@ def main(channel, database="", base_dir=".",
         logging.error("Couldn't figure out start time!")
         db_conn.close()
         exit(1)
-    logging.info("Start time: {}".format(start_time))
+    logging.info(f"Start time: {start_time}")
 
     if end_time is not None:
         end_time = dateutil.parse(end_time)
 
-    logging.info("End time: {}".format(end_time))
+    logging.info(f"End time: {end_time}")
 
     logging.info("Loading models...")
     recognizer = BuscribeRecognizer(SAMPLE_RATE, model, spk_model)
     logging.info("Models loaded.")
 
-    logging.info('Transcribing from {}'.format(start_time))
+    logging.info(f'Transcribing from {start_time}')
 
     # Start priming the recognizer if possible
     start_of_transcription = start_time

buscribe/buscribe/recognizer.py

@@ -1,7 +1,7 @@
 from vosk import Model, SpkModel, KaldiRecognizer
 
 
-class BuscribeRecognizer():
+class BuscribeRecognizer:
     segments_start_time = None
 
     def __init__(self, sample_rate=48000, model_path="model_small", spk_model_path="spk_model"):