Update app.py

app.py

@@ -3,13 +3,19 @@ import os
 import gradio as gr
 asr = pipeline(task="automatic-speech-recognition",
                model="distil-whisper/distil-small.en")
+translator = pipeline(task="translation",
+                      model="facebook/nllb-200-distilled-600M",
+                      torch_dtype=torch.bfloat16) 
 demo = gr.Blocks()
 def transcribe_speech(filepath):
     if filepath is None:
         gr.Warning("No audio found, please retry.")
         return ""
-    output = asr(filepath)
-    return output["text"]
+    output = translator(asr(filepath)["text"],
+                             src_lang="eng_Latn",
+                             tgt_lang="hin_Deva")
+    
+    return output
 mic_transcribe = gr.Interface(
     fn=transcribe_speech,
     inputs=gr.Audio(sources="microphone",