harshit345 commited on
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7fd191e
1 Parent(s): 696c231

Update README.md

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  1. README.md +5 -5
README.md CHANGED
@@ -30,7 +30,7 @@ import pandas as pd
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  ~~~
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  ~~~
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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- model_name_or_path = "Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition"
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  config = AutoConfig.from_pretrained(model_name_or_path)
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  feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(model_name_or_path)
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  sampling_rate = feature_extractor.sampling_rate
@@ -59,10 +59,10 @@ path = '/data/jtes_v1.1/wav/f01/ang/f01_ang_01.wav'
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  outputs = predict(path, sampling_rate)
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  ~~~
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  ~~~
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- [{'Emotion': 'anger', 'Score': '98.3%'},
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- {'Emotion': 'disgust', 'Score': '0.0%'},
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- {'Emotion': 'fear', 'Score': '0.4%'},
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- {'Emotion': 'happiness', 'Score': '0.7%'},
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  {'Emotion': 'sadness', 'Score': '0.5%'}]
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  ~~~
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  ~~~
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  ~~~
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+ model_name_or_path = "harshit345/xlsr-wav2vec-speech-emotion-recognition"
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  config = AutoConfig.from_pretrained(model_name_or_path)
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  feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(model_name_or_path)
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  sampling_rate = feature_extractor.sampling_rate
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  outputs = predict(path, sampling_rate)
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  ~~~
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  ~~~
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+ [{'Emotion': 'anger', 'Score': '78.3%'},
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+ {'Emotion': 'disgust', 'Score': '11.7%'},
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+ {'Emotion': 'fear', 'Score': '5.4%'},
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+ {'Emotion': 'happiness', 'Score': '4.1%'},
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  {'Emotion': 'sadness', 'Score': '0.5%'}]
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  ~~~
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