Update app.py

app.py

@@ -202,7 +202,8 @@ def transcribe_zh(audio_path):
     _, segments = align_zh(segments, audio_path)
     state = get_transcribe_state(segments)
     success_message = "<span style='color:green;'>Success: Transcribe completed successfully!</span>"
-
+    converter = opencc.OpenCC('t2s')
+    state["transcript"] = converter.convert(state["transcript"])
     return [
         state["transcript"], state['segments'],
         state, success_message
@@ -694,13 +695,13 @@ if __name__ == "__main__":
                     with gr.Column(scale=2):
                         input_audio = gr.Audio(value=f"{DEMO_PATH}/84_121550_000074_000000.wav", label="Input Audio", type="filepath", interactive=True)
                         with gr.Group():
-                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="Debug",
+                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="but when I had approached so near to them the common object, which the sense deceives, lost not by distance any of its marks.",
                                                             info="Use whisperx model to get the transcript.")
                             transcribe_btn = gr.Button(value="Transcribe")
 
                     with gr.Column(scale=3):
                         with gr.Group():
-                            transcript = gr.Textbox(label="Text", lines=7, value="But when I saw the mirage of the lake in the distance, which the sense deceives, Lost not by distance any marks,", interactive=True)
+                            transcript = gr.Textbox(label="Text", lines=7, value="but when I saw the mirage of the lake in the distance, which the sense deceives, lost not by distance any of its marks.", interactive=True)
                             run_btn = gr.Button(value="Run")
 
                     with gr.Column(scale=2):
@@ -750,7 +751,7 @@ if __name__ == "__main__":
                     with gr.Column(scale=2):
                         input_audio = gr.Audio(value=f"{DEMO_PATH}/84_121550_000074_000000.wav", label="Input Audio", type="filepath", interactive=True)
                         with gr.Group():
-                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="Debug",
+                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="but when I had approached so near to them the common object, which the sense deceives, lost not by distance any of its marks.",
                                                             info="Use whisperx model to get the transcript.")
                             transcribe_btn = gr.Button(value="Transcribe")
 
@@ -806,13 +807,13 @@ if __name__ == "__main__":
                     with gr.Column(scale=2):
                         input_audio = gr.Audio(value=f"{DEMO_PATH}/aishell3_test.wav", label="Input Audio", type="filepath", interactive=True)
                         with gr.Group():
-                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="Debug",
+                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="价格已基本都在三万到六万之间",
                                                             info="Use whisperx model to get the transcript.")
                             transcribe_btn = gr.Button(value="Transcribe")
 
                     with gr.Column(scale=3):
                         with gr.Group():
-                            transcript = gr.Textbox(label="Text", lines=7, value="食品价格以基本都在一万到两万之间", interactive=True)
+                            transcript = gr.Textbox(label="Text", lines=7, value="价格已基本都在一万到两万之间", interactive=True)
                             run_btn = gr.Button(value="Run")
 
                     with gr.Column(scale=2):
@@ -862,7 +863,7 @@ if __name__ == "__main__":
                     with gr.Column(scale=2):
                         input_audio = gr.Audio(value=f"{DEMO_PATH}/aishell3_test.wav", label="Input Audio", type="filepath", interactive=True)
                         with gr.Group():
-                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="Debug",
+                            original_transcript = gr.Textbox(label="Original transcript", lines=5, value="价格已基本都在三万到六万之间",
                                                             info="Use whisperx model to get the transcript.")
                             transcribe_btn = gr.Button(value="Transcribe")