add `condition_on_previous_text`

modules/whisper_data_class.py

@@ -13,6 +13,7 @@ class WhisperGradioComponents:
     compute_type: gr.Dropdown
     best_of: gr.Number
     patience: gr.Number
+    condition_on_previous_text: gr.Checkbox
     """
     A data class to pass Gradio components to the function before Gradio pre-processing.
     See this documentation for more information about Gradio pre-processing: https://www.gradio.app/docs/components
@@ -41,6 +42,10 @@ class WhisperGradioComponents:
         Number of candidates when sampling with non-zero temperature.
     patience: gr.Number
         Beam search patience factor.
+    condition_on_previous_text: bool
+        if True, the previous output of the model is provided as a prompt for the next window;
+        disabling may make the text inconsistent across windows, but the model becomes less prone to
+        getting stuck in a failure loop, such as repetition looping or timestamps going out of sync.
     """
 
     def to_list(self) -> list:
@@ -66,6 +71,7 @@ class WhisperValues:
     compute_type: str
     best_of: int
     patience: float
+    condition_on_previous_text: bool
     """
     A data class to use Whisper parameters in your function after Gradio pre-processing.
     See this documentation for more information about Gradio pre-processing: : https://www.gradio.app/docs/components