Update app.py

app.py

@@ -3,28 +3,30 @@ import gradio as gr
 
 def transcribe(state, file):
 
-  if not audio:
+if not audio:
     return {state_var: state, transcription_var: state} 
-  asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(
+    asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(
               model_name="stt_rw_conformer_ctc_large")
                 
-  transcription= asr_model.transcribe([audio])
-  return  transcription[0]
+    transcription= asr_model.transcribe([audio])
+    return  transcription[0]
 
 
 with gr.Blocks() as demo:
-  state_var = gr.State("")
+    state_var = gr.State("")
 
-  with gr.Row():
-    with gr.Column():
-      uploaded_audio = gr.Audio(label="Upload Audio File", type="filepath")
+    with gr.Row():
+        with gr.Column():
+            uploaded_audio = gr.Audio(label="Upload Audio File", type="filepath")
 
+        with gr.Column():
+            transcription_var = gr.Textbox(type="text", label="Transcription", readonly=True)
     with gr.Row():
       transcribe_button = gr.Button("Transcribe")
 
     transcribe_button.click(
-      transcribe,
-      [uploaded_audio],
+        transcribe,
+        [uploaded_audio],
     )