Update app.py

app.py

@@ -9,7 +9,7 @@ import os
 import re
 
 
-model = whisper.load_model("tiny")
+model = whisper.load_model("base")
 
 # def compress_audio(file_path, bitrate='32k'):
 #     try:
@@ -52,7 +52,7 @@ with gr.Blocks() as demo:
     gr.Markdown("<h1>Samir's AI Model Implementation -  Automatic Speech Recognition</h1>")
     gr.Markdown("<h2>YouTube Audio AutoTranscribe: Effortless Transcription</h2>")
     gr.Markdown("<b>This application is using <a href=https://openai.com/blog/whisper/ target=_blank>OpenAI's Whisper</a>. Whisper is an intricately designed <br>neural network aiming to achieve the highest precision in the field of multilingual speech recognition.</b>")
-    gr.Markdown("<b>The time for the model to perform transcription typically takes around 15 seconds for every 1 minute of video. <br>For example, a 10-minute video would take approximately 150 seconds to transcribe the audio content.</b>")
+    gr.Markdown("<b>The time for the model to perform transcription typically takes around 30 seconds for every 1 minute of video. <br>For example, a 10-minute video would take approximately 300 seconds to transcribe the audio content.</b>")
     
     input_text_url = gr.Textbox(placeholder='Youtube Video URL', label='👇YouTube URL👇')
     result_button_transcribe = gr.Button('Transcribe Now')