Update modules/whisper/whisper_base.py

modules/whisper/whisper_base.py

@@ -408,24 +408,22 @@ class WhisperBase(ABC):
 
                 if file_count_total > 1:
                     if file_count > 1:
-                        total_result += "#NEWLINE#"
+                        total_result += "\n"
                 
                 # Add filename & info as first line
-                tabbed_space = ("\t")*3
-                title_line = f'{tabbed_space}Media file:\t{info["input_source_file"]}'
-                title_line += f'\n{tabbed_space}Language:\t{info["lang"]} (probability {info["lang_prob"]}%)'
-                if params.is_translate: title_line += f'\n{tabbed_space}Translation:\t{info["transcription"]} (Handled by OpenAI Whisper)'
-                if translate_output: title_line += f'\n{tabbed_space}Translation:\t{info["translation"]} (Handled by Facebook NLLB)'                    
-
-                temp_subtitle = info["subtitle"]
-                if temp_subtitle.strip() == "":
-                    temp_subtitle = "(No speech detected)"
-                
-                total_result += title_line+"#NEWLINE#"+(((temp_subtitle.rstrip("\n")).replace("\t","#TAB#")).replace("\n","#NEWLINE#"))
+                html_multi_tab = (" ")*3
+                html_single_tab = " "
+                html_newline = "<BR>"
+                title_line = f'{html_multi_tab}Media file:{html_single_tab}{info["input_source_file"]}'
+                title_line += f'{html_newline}{html_multi_tab}Language:{html_single_tab}{info["lang"]} (probability {info["lang_prob"]}%)'
+                if params.is_translate: title_line += f'{html_newline}{html_multi_tab}Translation:{html_single_tab}{info["transcription"]} (Handled by OpenAI Whisper)'
+                if translate_output: title_line += f'{html_newline}{html_multi_tab}Translation:{html_single_tab}{info["translation"]} (Handled by Facebook NLLB)'                    
+
+                if info["subtitle"] == "":
+                    info["subtitle"] = "(No speech detected)"
+                    
+                total_result += title_line+"\n"+f'{info["subtitle"]}'
                 total_time += info["time_for_task"]
-
-                total_result = total_result.replace("\t","&nbsp;")     
-                total_result = total_result.replace("\n","<BR>")  
             
             time_end = datetime.now()
             total_info = f"Processed {file_count} {'file' if file_count == 1 else 'files'} in {self.format_time((time_end-time_start).total_seconds())}"
@@ -631,9 +629,9 @@ class WhisperBase(ABC):
     @staticmethod
     def transform_text_to_list(inputdata: str) -> list:
         outputdata = []
-        temp_inputdata = inputdata.split("#NEWLINE#")
+        temp_inputdata = inputdata.split("\n")
         for temp_line in temp_inputdata:
-            temp_line_items = temp_line.split("#TAB#")
+            temp_line_items = temp_line.split("\t")
             col_time,col_speaker,col_text = "","",""
             
             if len(temp_line_items)==1: