Update app.py

app.py

@@ -13,7 +13,7 @@ import re
 #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_155750=pipeline(task="automatic-speech-recognition", model="cdactvm/wav2vec-bert-punjabi-155750-model")
 punjaib_modle_75000=pipeline(task="automatic-speech-recognition", model="cdactvm/wav2vec-bert-punjabi-75000-model")
 #p3 = pipeline(task="automatic-speech-recognition", model="cdactvm/kannada_w2v-bert_model")
 #p4 = pipeline(task="automatic-speech-recognition", model="cdactvm/telugu_w2v-bert_model")
@@ -267,7 +267,7 @@ def process_transcription(input_sentence):
 ###########################################
 
 def transcribe_punjabi_30000(speech):
-    text = punjaib_modle_30000(speech)["text"]
+    text = punjaib_modle_155750(speech)["text"]
     text = text.replace("[PAD]","")
     if text is None:
         return "Error: ASR returned None"
@@ -275,7 +275,7 @@ def transcribe_punjabi_30000(speech):
 
 def transcribe_punjabi_eng_model_30000(speech):
     trn = Transliterator(source='pan', target='eng', build_lookup=True)
-    text = punjaib_modle_30000(speech)["text"]
+    text = punjaib_modle_155750(speech)["text"]
     text = text.replace("[PAD]","")
     if text is None:
         return "Error: ASR returned None"