Update app.py

app.py

@@ -235,26 +235,14 @@ diff_out = gr.HighlightedText(label="Cuts Diffs", combine_adjacent=True)
 examples = gr.Dataset(components=[video_in], samples=VIDEOS, type="index")
 
 css = """
-#cut_btn, #reset_btn { align-self:stretch; }
-#\\31 3 { max-width: 540px; }
-.output-markdown {max-width: 65ch !important;}
-#video-container{
-    max-width: 40rem;
+footer { 
+    visibility: hidden; 
 }
 """
+
 with gr.Blocks(css=css) as demo:
     transcription_var = gr.State()
     timestamps_var = gr.State()
-    with gr.Row():
-        with gr.Column():
-            gr.Markdown("""
-            # Edit Video By Editing Text
-            This project is a quick proof of concept of a simple video editor where the edits
-            are made by editing the audio transcription.
-            Using the [Huggingface Automatic Speech Recognition Pipeline](https://huggingface.co/tasks/automatic-speech-recognition)
-            with a fine tuned [Wav2Vec2 model using Connectionist Temporal Classification (CTC)](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self)
-            you can predict not only the text transcription but also the [character or word base timestamps](https://huggingface.co/docs/transformers/v4.19.2/en/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline.__call__.return_timestamps)
-            """)
 
     with gr.Row():
 
@@ -300,14 +288,8 @@ with gr.Blocks(css=css) as demo:
         with gr.Column():
             video_out.render()
             diff_out.render()
-    with gr.Row():
-        gr.Markdown("""
-        #### Video Credits
 
-        1. [Cooking](https://vimeo.com/573792389)
-        1. [Shia LaBeouf "Just Do It"](https://www.youtube.com/watch?v=n2lTxIk_Dr0)
-        1. [Mark Zuckerberg & Yuval Noah Harari in Conversation](https://www.youtube.com/watch?v=Boj9eD0Wug8)
-        """)
 demo.queue()
+
 if __name__ == "__main__":
     demo.launch(debug=True)