Update app.py

app.py

@@ -3,9 +3,6 @@ import logging
 from transformers import pipeline
 import torch
 
-description = "Simple Speech Recognition App"
-title = "This app allows users to record audio through the microphone or upload audio files to be transcribed into text. It uses the speech_recognition library to process audio and extract spoken words. Ideal for quick transcription of short speeches and audio notes."
-
 asr = pipeline(task="automatic-speech-recognition",
                model="distil-whisper/distil-small.en")
 
@@ -28,7 +25,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         gr.Markdown("# Simple Speech Recognition App")
     with gr.Row():
-        gr.Markdown("### This app allows you to record or upload audio and see its transcription. Powered by the speech_recognition library.")
+        gr.Markdown("### This app allows you to record or upload audio and see its transcription.")
     with gr.Row():
         mic = gr.Audio(label="Record from Microphone or Upload File", type="filepath")
         transcribe_button = gr.Button("Transcribe Audio")