Update modules/whisper/whisper_base.py

modules/whisper/whisper_base.py

@@ -338,10 +338,10 @@ class WhisperBase(ABC):
                 total_info += f'Input file:\t\t{info["input_source_file"]}\nLanguage:\t{info["lang"]} (probability {info["lang_prob"]}%)\n'
                 
                 if params.is_translate:
-                    total_info += f'Translation:\t{info["transcription"]}\n\t\t⤷ handled by OpenAI Whisper\n'
+                    total_info += f'Translation:\t{info["transcription"]}\n\t⤷ handled by OpenAI Whisper\n'
                 
                 if translate_output:
-                    total_info += f'Translation:\t{info["translation"]}\n\t\t⤷ handled by Facebook NLLB\n'
+                    total_info += f'Translation:\t{info["translation"]}\n\t⤷ handled by Facebook NLLB\n'
             
             time_end = datetime.now()
             total_info += f"\nTotal processing time: {self.format_time((time_end-time_start).total_seconds())}"
@@ -387,7 +387,7 @@ class WhisperBase(ABC):
             Output file path to return to gr.Files()
         """
         try:
-            progress(0, desc="Loading Audio..")
+            progress(0, desc="Loading Audio...")
             transcribed_segments, time_for_task = self.run(
                 mic_audio,
                 progress,
@@ -442,7 +442,7 @@ class WhisperBase(ABC):
             Output file path to return to gr.Files()
         """
         try:
-            progress(0, desc="Loading Audio from Youtube..")
+            progress(0, desc="Loading Audio from Youtube...")
             yt = get_ytdata(youtube_link)
             audio = get_ytaudio(yt)