Update app.py

app.py

@@ -46,6 +46,7 @@ def convert_to_wav(audio_file):
     audio = AudioSegment.from_file(audio_file, format="m4a")
     wav_file = "temp.wav"
     audio.export(wav_file, format="wav")
+    
     return wav_file
 
 #:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
@@ -56,11 +57,10 @@ kwargs = {
     "language": "no",
 }
 
-# funct.@ASR,
 def transcribe_audio(audio_file):
-     if audio_file.endswith(".m4a"):
+    if audio_file.endswith(".m4a"):
         audio_file = convert_to_wav(audio_file)
-
+        
     start_time = time.time()
 
     outputs = asr(audio_file, forced_decoder_ids=None, task="transcribe", batch_size=16, return_timestamps=False, **kwargs)  # chunk_length_s=30,
@@ -71,10 +71,17 @@ def transcribe_audio(audio_file):
     word_count = len(text.split())
 
     result = f"Transcription: {text.strip()}\n\nTime taken: {output_time:.2f} seconds\nNumber of words: {word_count}"
+    
 
     return text.strip(), result
 #:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
 
+
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+
 # Clean and preprocess text
 def clean_text(text):
     text = re.sub(r'https?:\/\/.*[\r\n]*', '', text)