Update app.py

app.py

@@ -7,7 +7,6 @@ MODELS_TO_DOWNLOAD = ['tiny', 'medium'] # ['tiny', 'small', 'base', 'medium', 'l
 for model_name in MODELS_TO_DOWNLOAD:
     os.system(f'bash ./whisper.cpp/models/download-ggml-model.sh {model_name}')
 
-
 ### BODY ### 
 
 import os
@@ -25,6 +24,10 @@ import time
 from pytube import YouTube
 import torch
 
+INTRO_MSG = '#### There are many not very widely spoken languages for which it is quite hard to find learning materials, especially well dubbed videos. \
+This tool will hopefully generate subtitles so you can watch the video of your target language with corresponding subs. At least for me this is nice tool \
+to practice both listening and reading skills'
+
 whisper_models = MODELS_TO_DOWNLOAD #["medium"]#["base", "small", "medium", "large", "base.en"]
 
 custom_models = []
@@ -138,7 +141,7 @@ subtitle_files = gr.File(
                 interactive=False,
             )
 
-video_player = gr.HTML('<p>video will be played here after you press the button at step 4')
+video_player = gr.HTML('<p>video will be played here')
 eventslider = gr.Slider(visible=False)
 status_msg = gr.Markdown('Status')
 
@@ -171,7 +174,8 @@ with demo:
     
     with gr.Row():
         with gr.Column():
-            gr.Markdown('''### 1. Copy any non-private Youtube video URL to box below or click one of the examples.''')
+            gr.Markdown(INTRO_MSG)
+            gr.Markdown('''### Copy any non-private Youtube video URL to box below or click one of the examples.''')
             examples = gr.Examples(examples=["https://www.youtube.com/watch?v=UjAn3Pza3qo", "https://www.youtube.com/watch?v=oOZivhYfPD4"], 
                label="Examples", inputs=[youtube_url_in])
             # Inspiration from https://huggingface.co/spaces/vumichien/whisper-speaker-diarization
@@ -195,7 +199,6 @@ with demo:
     dep = demo.load(on_change_event, inputs=[app_state], outputs=[status_msg], every=10)
 
 
-
 #### RUN ###
 is_kaggle = os.environ.get('KAGGLE_KERNEL_RUN_TYPE')
 print(is_kaggle)