update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import nemo.collections.asr as nemo_asr
 from pydub import AudioSegment
 import pyaudioconvert as pac
-import timeit
+
 
 hf_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained(
                 model_name="mbazaNLP/Kinyarwanda_nemo_stt_conformer_model")
@@ -23,16 +23,15 @@ def convert (audio):
 
 def transcribe(audio, audio_microphone):
   audio = audio_microphone if audio_microphone else audio
-  start = timeit.default_timer()
   if convert(audio)== False:
     return "The format must be mp3,wav and ogg"
 
   files = [audio.name]
   print(audio.name)
+  result= "The format must be mp3,wav and ogg"
   for fname, transcription in zip(files, hf_model.transcribe(paths2audio_files=files)):
-    stop = timeit.default_timer()
-    return "message"+ transcription[0]+ "\nfilename"+ audio.name+"\nTrancriptionTime"+stop-start
-
+    result= transcription[0]
+  return result
 gradio_ui = gr.Interface(
     fn=transcribe,
     title="Kinyarwanda Speech Recognition",