fix typo in nemo

nemo_asr.py

@@ -5,18 +5,18 @@ import nemo.collections.asr as nemo_asr
 
 def transcribe(file, modelName="stt_rw_conformer_transducer_large"):
   with aiofiles.open(file.filename, 'wb') as out_file:
-    content = file.read()  # async read
-    out_file.write(content)  # async write
+    out_file = file.read()  # async read
+    #out_file.write(content)  # async write
     print(out_file.name)
-    asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained(
+  asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained(
                 model_name=modelName)
-    if not file.name.endswith("wav"):
-      sound = AudioSegment.from_mp3(out_file.name)
-      sound.export(out_file.name, format="wav")
-      files = [out_file.name]
-    pac.convert_wav_to_16bit_mono(out_file.name,out_file.name)
+  if not file.name.endswith("wav"):
+    sound = AudioSegment.from_mp3(out_file.name)
+    sound.export(out_file.name, format="wav")
+    files = [out_file.name]
+  pac.convert_wav_to_16bit_mono(out_file.name,out_file.name)
     # print("file loaded is **************",file.file)
-    for fname, transcription in zip(files, asr_model.transcribe(paths2audio_files=files)):
-      print(f"Audio in {fname} was recognized as: {transcription}")
-      print(transcription[0])
-      return {"text": transcription[0], "filename": file.filename}
+  for fname, transcription in zip(files, asr_model.transcribe(paths2audio_files=files)):
+    print(f"Audio in {fname} was recognized as: {transcription}")
+    print(transcription[0])
+    return {"text": transcription[0], "filename": file.filename}