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Update app.py
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app.py
CHANGED
@@ -7,7 +7,7 @@ from transformers.models.whisper.tokenization_whisper import LANGUAGES
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from transformers.pipelines.audio_utils import ffmpeg_read
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model_id = "openai/whisper-large-v2"
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device = "cuda" if torch.cuda.is_available() else "
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LANGUANGE_MAP = {
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@@ -62,11 +62,11 @@ LANGUANGE_MAP = {
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model_ckpt = "barto17/language-detection-fine-tuned-on-xlm-roberta-base"
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model = AutoModelForSequenceClassification.from_pretrained(model_ckpt)
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tokenizer = AutoTokenizer.from_pretrained(model_ckpt)
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def detect_language(sentence):
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tokenized_sentence = tokenizer(sentence, return_tensors='pt')
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output = model(**tokenized_sentence)
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predictions = torch.nn.functional.softmax(output.logits, dim=-1)
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from transformers.pipelines.audio_utils import ffmpeg_read
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model_id = "openai/whisper-large-v2"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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LANGUANGE_MAP = {
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def detect_language(sentence):
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model_ckpt = "barto17/language-detection-fine-tuned-on-xlm-roberta-base"
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model = AutoModelForSequenceClassification.from_pretrained(model_ckpt)
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tokenizer = AutoTokenizer.from_pretrained(model_ckpt)
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tokenized_sentence = tokenizer(sentence, return_tensors='pt')
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output = model(**tokenized_sentence)
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predictions = torch.nn.functional.softmax(output.logits, dim=-1)
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