Update app.py

app.py

@@ -1,13 +1,15 @@
 import nemo.collections.asr as nemo_asr
 import gradio as gr
 
+asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(model_name="stt_rw_conformer_ctc_large")
+
 def transcribe(state, file):
 
     #if not audio:
     #    return {state_var: state, transcription_var: state} 
-    asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(model_name="stt_rw_conformer_ctc_large")
+    
                 
-    transcription= asr_model.transcribe([audio])
+    transcription= asr_model.transcribe([file])
     print(transcription)
     return  transcription[0]