Create app.y

app.y

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+import nemo.collections.asr as nemo_asr
+import gradio as gr
+
+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])
+  return  transcription[0]
+
+
+with gr.Blocks() as demo:
+  state_var = gr.State("")
+
+  with gr.Row():
+    with gr.Column():
+      uploaded_audio = gr.Audio(label="Upload Audio File", type="filepath", source="upload")
+
+    with gr.Row():
+      transcribe_button = gr.Button("Transcribe")
+
+    transcribe_button.click(
+      transcribe,
+      [uploaded_audio],
+    )
+
+  
+demo.launch()