Update app.py

app.py

@@ -10,7 +10,7 @@ import re
 #import torchaudio
 
 # Initialize the speech recognition pipeline and transliterator
-#p1 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-odia_v1")
+p1 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-odia_v1")
 p2 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-hindi_v1")
 #p3 = pipeline(task="automatic-speech-recognition", model="cdactvm/kannada_w2v-bert_model")
 #p4 = pipeline(task="automatic-speech-recognition", model="cdactvm/telugu_w2v-bert_model")
@@ -423,7 +423,7 @@ demo=gr.Interface(
     inputs=[
         
         #gr.Dropdown(["Hindi","Hindi-trans","Odiya","Odiya-trans","Kannada","Kannada-trans","Telugu","Telugu-trans","Bangala","Bangala-trans"],value="Hindi",label="Select Language"),
-        gr.Dropdown(["Hindi","Hindi-trans","Assamese-LM","Assamese-Model2"],value="Hindi",label="Select Language"),
+        gr.Dropdown(["Hindi","Hindi-trans","Odiya","Odiya-trans","Assamese-LM","Assamese-Model2"],value="Hindi",label="Select Language"),
         gr.Audio(sources=["microphone","upload"], type="filepath"),
         #gr.Audio(sources="upload", type="filepath"),
         #"state"