update docstring

modules/faster_whisper_inference.py

@@ -2,7 +2,6 @@ import os
 import time
 import numpy as np
 from typing import BinaryIO, Union, Tuple, List
-
 import faster_whisper
 from faster_whisper.vad import VadOptions
 import ctranslate2
@@ -13,7 +12,6 @@ from modules.whisper_parameter import *
 from modules.whisper_base import WhisperBase
 
 
-
 class FasterWhisperInference(WhisperBase):
     def __init__(self,
                  model_dir: str,
@@ -43,7 +41,7 @@ class FasterWhisperInference(WhisperBase):
         progress: gr.Progress
             Indicator to show progress directly in gradio.
         *whisper_params: tuple
-            Gradio components related to Whisper. see whisper_data_class.py for details.
+            Parameters related with whisper. This will be dealt with "WhisperParameters" data class
 
         Returns
         ----------

modules/insanely_fast_whisper_inference.py

@@ -43,7 +43,7 @@ class InsanelyFastWhisperInference(WhisperBase):
         progress: gr.Progress
             Indicator to show progress directly in gradio.
         *whisper_params: tuple
-            Gradio components related to Whisper. see whisper_data_class.py for details.
+            Parameters related with whisper. This will be dealt with "WhisperParameters" data class
 
         Returns
         ----------

modules/whisper_Inference.py

@@ -35,7 +35,7 @@ class WhisperInference(WhisperBase):
         progress: gr.Progress
             Indicator to show progress directly in gradio.
         *whisper_params: tuple
-            Gradio components related to Whisper. see whisper_data_class.py for details.
+            Parameters related with whisper. This will be dealt with "WhisperParameters" data class
 
         Returns
         ----------

modules/whisper_parameter.py

@@ -130,6 +130,7 @@ class WhisperParameters:
         
     hf_token: gr.Textbox
         This parameter is related with whisperx. Huggingface token is needed to download diarization models.
+        Read more about : https://huggingface.co/pyannote/speaker-diarization-3.1#requirements
     """
 
     def to_list(self) -> list: