Update asr.py

asr.py

@@ -106,7 +106,7 @@ def transcribe(
     with torch.no_grad():
         outputs = model(**inputs).logits
 
-    if lang_code != "eng":
+    if lang_code != "eng" and False:
         ids = torch.argmax(outputs, dim=-1)[0]
         transcription = processor.decode(ids)
     else:
@@ -123,6 +123,6 @@ ASR_EXAMPLES = [
 ]
 
 ASR_NOTE = """
-The above demo uses beam-search decoding with LM for English and greedy decoding results for all other languages. 
-Checkout the instructions [here](https://huggingface.co/facebook/mms-1b-all) on how to run LM decoding for other languages.
+The above demo doesn't use beam-search decoding using a language model. 
+Checkout the instructions [here](https://huggingface.co/facebook/mms-1b-all) on how to run LM decoding for better accuracy.
 """