Update app.py
Browse files
app.py
CHANGED
@@ -14,7 +14,8 @@ disable_caching()
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huggingface_token = os.environ["huggingface_token"]
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pipe = pipeline(model="mskov/whisper-small-miso")
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-
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model = WhisperModel.from_pretrained("mskov/whisper-small-miso", use_auth_token=huggingface_token)
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feature_extractor = AutoFeatureExtractor.from_pretrained("mskov/whisper-small-miso", use_auth_token=huggingface_token)
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miso_tokenizer = WhisperTokenizer.from_pretrained("mskov/whisper-small-miso", use_auth_token=huggingface_token)
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@@ -31,6 +32,7 @@ tokenized_dataset = miso_tokenizer(tempDataset) # Tokenize the dataset
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input_ids = features.input_ids
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attention_mask = features.attention_mask
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'''
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# Evaluate the model
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model.eval()
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with torch.no_grad():
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huggingface_token = os.environ["huggingface_token"]
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pipe = pipeline(model="mskov/whisper-small-miso")
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print(pipe)
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'''
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model = WhisperModel.from_pretrained("mskov/whisper-small-miso", use_auth_token=huggingface_token)
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feature_extractor = AutoFeatureExtractor.from_pretrained("mskov/whisper-small-miso", use_auth_token=huggingface_token)
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miso_tokenizer = WhisperTokenizer.from_pretrained("mskov/whisper-small-miso", use_auth_token=huggingface_token)
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input_ids = features.input_ids
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attention_mask = features.attention_mask
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'''
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'''
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# Evaluate the model
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model.eval()
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with torch.no_grad():
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