Update app.py

app.py

@@ -11,15 +11,15 @@ import re
 
 model = whisper.load_model("tiny")
 
-def compress_audio(file_path, bitrate='32k'):
-    try:
-        audio = AudioSegment.from_file(file_path)
-        output_format = os.path.splitext(file_path)[1][1:]
-        compressed_audio = audio.export(file_path, format=output_format, bitrate=bitrate)
-        return True
-    except Exception as e:
-        print(f"Error: {e}")
-        return False
+# def compress_audio(file_path, bitrate='32k'):
+#     try:
+#         audio = AudioSegment.from_file(file_path)
+#         output_format = os.path.splitext(file_path)[1][1:]
+#         compressed_audio = audio.export(file_path, format=output_format, bitrate=bitrate)
+#         return True
+#     except Exception as e:
+#         print(f"Error: {e}")
+#         return False
 
 def url_to_text(url):
     if url != '':
@@ -35,7 +35,7 @@ def url_to_text(url):
         base, ext = os.path.splitext(out_file)
         os.rename(out_file, base+'.mp3')
         file_path = base+'.mp3'
-        compress_audio(file_path)
+        # compress_audio(file_path)
         
         result = model.transcribe(file_path)
         return result['text'].strip()
@@ -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 10 seconds for every 1 minute of video. <br>For example, a 12-minute video would take approximately 120 seconds to transcribe the audio content.</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>")
     
     input_text_url = gr.Textbox(placeholder='Youtube Video URL', label='👇YouTube URL👇')
     result_button_transcribe = gr.Button('Transcribe Now')