Add gradio parameter file_format to cache

modules/whisper/base_transcription_pipeline.py

@@ -71,6 +71,7 @@ class BaseTranscriptionPipeline(ABC):
     def run(self,
             audio: Union[str, BinaryIO, np.ndarray],
             progress: gr.Progress = gr.Progress(),
+            file_format: str = "SRT",
             add_timestamp: bool = True,
             *pipeline_params,
             ) -> Tuple[List[Segment], float]:
@@ -86,6 +87,8 @@ class BaseTranscriptionPipeline(ABC):
             Audio input. This can be file path or binary type.
         progress: gr.Progress
             Indicator to show progress directly in gradio.
+        file_format: str
+            Subtitle file format between ["SRT", "WebVTT", "txt", "lrc"]
         add_timestamp: bool
             Whether to add a timestamp at the end of the filename.
         *pipeline_params: tuple
@@ -168,6 +171,7 @@ class BaseTranscriptionPipeline(ABC):
 
         self.cache_parameters(
             params=params,
+            file_format=file_format,
             add_timestamp=add_timestamp
         )
         return result, elapsed_time
@@ -224,6 +228,7 @@ class BaseTranscriptionPipeline(ABC):
                 transcribed_segments, time_for_task = self.run(
                     file,
                     progress,
+                    file_format,
                     add_timestamp,
                     *pipeline_params,
                 )
@@ -298,6 +303,7 @@ class BaseTranscriptionPipeline(ABC):
             transcribed_segments, time_for_task = self.run(
                 mic_audio,
                 progress,
+                file_format,
                 add_timestamp,
                 *pipeline_params,
             )
@@ -364,6 +370,7 @@ class BaseTranscriptionPipeline(ABC):
             transcribed_segments, time_for_task = self.run(
                 audio,
                 progress,
+                file_format,
                 add_timestamp,
                 *pipeline_params,
             )
@@ -513,7 +520,8 @@ class BaseTranscriptionPipeline(ABC):
     @staticmethod
     def cache_parameters(
         params: TranscriptionPipelineParams,
-        add_timestamp: bool
+        file_format: str = "SRT",
+        add_timestamp: bool = True
     ):
         """Cache parameters to the yaml file"""
         cached_params = load_yaml(DEFAULT_PARAMETERS_CONFIG_PATH)
@@ -521,6 +529,7 @@ class BaseTranscriptionPipeline(ABC):
 
         cached_yaml = {**cached_params, **param_to_cache}
         cached_yaml["whisper"]["add_timestamp"] = add_timestamp
+        cached_yaml["whisper"]["file_format"] = file_format
 
         supress_token = cached_yaml["whisper"].get("suppress_tokens", None)
         if supress_token and isinstance(supress_token, list):