Update app.py

app.py

@@ -10,10 +10,14 @@ import time
 #Loading the model and the tokenizer
 token_key = os.environ.get("HUGGING_FACE_HUB_TOKEN")
 
-model_name = "pgilles/whisper-large-v2-lb_cased_01"
+model_name = "pgilles/Wav2Vec2-large-xlsr-1b-LUXEMBOURGISH33-with-LM"
 
-#p = pipeline("automatic-speech-recognition", model=model, tokenizer=tokenizer, feature_extractor=processor.feature_extractor, decoder=processor.decoder, use_auth_token=token_key)
-p = pipeline("automatic-speech-recognition", model=model_name, device=0, use_auth_token=token_key)
+tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(model_name, use_auth_token=token_key)
+model = Wav2Vec2ForCTC.from_pretrained(model_name, use_auth_token=token_key)
+processor = Wav2Vec2ProcessorWithLM.from_pretrained(model_name, use_auth_token=token_key)
+
+
+p = pipeline("automatic-speech-recognition", model=model, tokenizer=tokenizer, feature_extractor=processor.feature_extractor, decoder=processor.decoder, use_auth_token=token_key)
 
 def load_data(input_file):