reduce logging

App/Transcription/Utils/audio_transcription.py

@@ -1,8 +1,9 @@
 from faster_whisper import WhisperModel
 from tqdm import tqdm
-import os
+import os, time
 from App.Transcription.Schemas import TranscriptionMetadata
 
+current_time = time.localtime()
 model_size = "tiny"
 
 
@@ -42,9 +43,11 @@ def transcribe_file(state, file_path, model_size="tiny"):
                         "text": word.word,
                     }
                     result.append(temp)
-                    metadata.logs = "Transcribing.."
-                    metadata.percentage = f"{((word.end / total_duration)*100)}"
-                    state.update_state(state="PROGRESS", meta=metadata.dict())
+
+                    if current_time.tm_sec == 0:
+                        metadata.logs = "Transcribing.."
+                        metadata.percentage = f"{((word.end / total_duration)*100)}"
+                        state.update_state(state="PROGRESS", meta=metadata.dict())
                     pbar.update(segment_duration)
     except Exception as e:
         metadata.logs = f"Falied error {e}"