add debugging function to faster-whisper inference

modules/whisper/faster_whisper_inference.py

@@ -124,6 +124,40 @@ class FasterWhisperInference(WhisperBase):
         )
         print("update_model: finished")
 
+    # debug
+    @spaces.GPU(duration=120)
+    def transcribe_file(self,
+                        files: list,
+                        file_format: str,
+                        add_timestamp: bool,
+                        progress=gr.Progress(),
+                        # *whisper_params,
+                        ) -> list:
+        """
+        Write subtitle file from Files
+
+        Parameters
+        ----------
+        files: list
+            List of files to transcribe from gr.Files()
+        file_format: str
+            Subtitle File format to write from gr.Dropdown(). Supported format: [SRT, WebVTT, txt]
+        add_timestamp: bool
+            Boolean value from gr.Checkbox() that determines whether to add a timestamp at the end of the subtitle filename.
+        progress: gr.Progress
+            Indicator to show progress directly in gradio.
+        *whisper_params: tuple
+            Parameters related with whisper. This will be dealt with "WhisperParameters" data class
+
+        Returns
+        ----------
+        result_str:
+            Result of transcription to return to gr.Textbox()
+        result_file_path:
+            Output file path to return to gr.Files()
+        """
+        print('Transcription START')
+
     def get_model_paths(self):
         """
         Get available models from models path including fine-tuned model.