Update app.py

app.py

@@ -474,17 +474,18 @@ with demo:
         with gr.Column():
             gr.Markdown('''
             ### This space allows you to: 
-            #### 1. Download youtube video with a given url
-            #### 2. Watch it in the first video component
-            #### 3. Run automatic speech recognition on the video using fast Whisper models
-            #### 4. Translate the recognized transcriptions to 26 languages supported by deepL
-            #### 5. Download generated subtitles in .vtt and .srt formats
-            #### 6. Watch the the original video with generated subtitles
+            1. Download youtube video with a given url
+            2. Watch it in the first video component
+            3. Run automatic speech recognition on the video using fast Whisper models
+            4. Translate the recognized transcriptions to 26 languages supported by deepL
+            5. Download generated subtitles in .vtt and .srt formats
+            6. Watch the the original video with generated subtitles
             ''')
             
         with gr.Column():
             gr.Markdown('''
-            ### 1. Copy any Youtube video URL to box below (But please consider using short videos so others won't get queued) or click one of the examples and then press button "1. Download Youtube video"-button:
+            ### 1. Copy any Youtube video URL to box below 
+            (But please **consider using short videos** so others won't get queued) or click one of the examples and then press button "1. Download Youtube video"-button:
             ''')
             examples = gr.Examples(examples=
                 [ "https://www.youtube.com/watch?v=nlMuHtV82q8&ab_channel=NothingforSale24", 
@@ -509,7 +510,7 @@ with demo:
                 gr.Markdown('''
                 ##### Here you can start the transcription and translation process.
                 ##### Be aware that processing will last some time. With base model it is around 3x speed
-                ##### Please select source language for better transcriptions. Using 'Let the model analyze' makes mistakes sometimes and may lead to bad transcriptions
+                ##### **Please select source language** for better transcriptions. Using 'Let the model analyze' makes mistakes sometimes and may lead to bad transcriptions
                 ''')
             selected_source_lang.render()
             selected_whisper_model.render()
@@ -530,9 +531,9 @@ with demo:
         with gr.Column():
             gr.Markdown('''
             ##### PLEASE READ BELOW 
-            ##### Here you will can translate transcriptions to 26 languages.
-            ##### If spoken language is not in the list, translation might not work. In this case original transcriptions are used
-            ##### ''')
+            Here you will can translate transcriptions to 26 languages.
+            If spoken language is not in the list, translation might not work. In this case original transcriptions are used
+            ''')
             selected_translation_lang_2.render()
             translate_transcriptions_button = gr.Button("Step 3. Translate transcription")
             translate_transcriptions_button.click(translate_transcriptions, [transcription_df, selected_translation_lang_2], [transcription_and_translation_df, subtitle_files])