Update app.py

app.py

@@ -10,8 +10,8 @@ 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")
-odia_model2 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-odia_v1")
+#p1 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-odia_v1")
+#odia_model2 = 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")
 punjaib_modle_30000=pipeline(task="automatic-speech-recognition", model="cdactvm/wav2vec-bert-punjabi-30000-model")
 punjaib_modle_75000=pipeline(task="automatic-speech-recognition", model="cdactvm/wav2vec-bert-punjabi-75000-model")
@@ -33,7 +33,7 @@ processor_with_lm = Wav2Vec2ProcessorWithLM(
     decoder=decoder
     )
 processor.feature_extractor._processor_class = "Wav2Vec2ProcessorWithLM"
-p8 = pipeline("automatic-speech-recognition", model="cdactvm/w2v-assames", tokenizer=processor_with_lm, feature_extractor=processor_with_lm.feature_extractor, decoder=processor_with_lm.decoder)
+#p8 = pipeline("automatic-speech-recognition", model="cdactvm/w2v-assames", tokenizer=processor_with_lm, feature_extractor=processor_with_lm.feature_extractor, decoder=processor_with_lm.decoder)
     
 
 os.system('git clone https://github.com/irshadbhat/indic-trans.git')