Update app.py

app.py

@@ -65,8 +65,8 @@ class App:
     def __init__(self, args):
         self.args = args
         #self.app = gr.Blocks(css=CSS, theme=self.args.theme, delete_cache=(60, 3600))
-        #self.app = gr.Blocks(css=CSS, theme=gr.themes.Ocean(), delete_cache=(60, 3600))
-        self.app = gr.Blocks(css=CSS,theme=gr.themes.Ocean(), title="Whisper - Automatic speech recognition", delete_cache=(60, 3600))
+        self.app = gr.Blocks(css=CSS, theme=gr.themes.Ocean(), delete_cache=(60, 3600))
+        #self.app = gr.Blocks(css=CSS,theme=gr.themes.Ocean(), title="Whisper - Automatic speech recognition", delete_cache=(60, 3600))
         self.whisper_inf = WhisperFactory.create_whisper_inference(
             whisper_type=self.args.whisper_type,
             whisper_model_dir=self.args.whisper_model_dir,
@@ -105,7 +105,8 @@ class App:
                 
         with gr.Accordion("Speaker diarization", open=False, visible=True):
             cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Use diarization",interactive=True)
-            tb_hf_token = gr.Text(label="Token", value=diarization_params["hf_token"],info="Required to use diarization")
+            #tb_hf_token = gr.Text(label="Token", value=diarization_params["hf_token"],info="Required to use diarization")
+            tb_hf_token = gr.Text(label="Token", value=diarization_params["hf_token"])
             gr.Markdown("""
                         An access token can be created [here](https://hf.co/settings/tokens). If not done yet for your account, you need to accept the terms & conditions of [diarization](https://huggingface.co/pyannote/speaker-diarization-3.1) and [segmentation](https://huggingface.co/pyannote/segmentation-3.0).
                         """)