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Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -47,11 +47,11 @@ We also provide a comprehensive analysis of the models' robustness, speaker adap
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  def styled_message(message):
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  return f"<p style='color: green; font-size: 20px; text-align: center;'>{message}</p>"
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- LAST_UPDATED = "Jan 12th 2025:[New models included: nvidia-Parakeet-1.1b-concat and nvidia-Parakeet-1.1b-universal]+[New dataset included: Casablanca]"
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  results = {
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- "Model": ["nvidia-conformer-large-arabic (lm)", "nvidia-conformer-large-arabic (greedy)", "openai/whisper-large-v3", "facebook/seamless-m4t-v2-large", "openai/whisper-large-v3-turbo", "openai/whisper-large-v2", "openai/whisper-large", "asafaya/hubert-large-arabic-transcribe/", "openai/whisper-medium", "nvidia-Parakeet-1.1b-concat", "nvidia-Parakeet-1.1b-universal", "facebook/mms-1b-all", "openai/whisper-small", "whitefox123/w2v-bert-2.0-arabic-4", "jonatasgrosman/wav2vec2-large-xlsr-53-arabic", "speechbrain/asr-wav2vec2-commonvoice-14-ar"],
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  "Average WER⬇️": [32.91, 34.74, 36.86, 38.16, 40.05, 40.20, 42.57, 45.50, 45.57, 46.54, 51.96, 54.54, 55.13, 58.13, 60.98, 65.74],
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  "Average CER": [13.84, 13.37, 17.21, 17.03, 18.87, 19.55, 20.49, 17.35, 22.27, 23.88, 25.19, 21.45, 21.68, 27.62, 25.61, 30.93],
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  "SADA WER": [44.52, 47.26, 55.96, 62.52, 60.36, 57.46, 63.24, 67.82, 67.71, 70.70, 73.58, 77.48, 78.02, 87.34, 86.82, 88.54],
 
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  def styled_message(message):
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  return f"<p style='color: green; font-size: 20px; text-align: center;'>{message}</p>"
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+ LAST_UPDATED = "Jan 12th 2025:[New models included: nvidia-Parakeet-ctc-1.1b-concat and nvidia-Parakeet-ctc-1.1b-universal]+[New dataset included: Casablanca]"
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  results = {
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+ "Model": ["nvidia-conformer-large-arabic (lm)", "nvidia-conformer-large-arabic (greedy)", "openai/whisper-large-v3", "facebook/seamless-m4t-v2-large", "openai/whisper-large-v3-turbo", "openai/whisper-large-v2", "openai/whisper-large", "asafaya/hubert-large-arabic-transcribe/", "openai/whisper-medium", "nvidia-Parakeet-ctc-1.1b-concat", "nvidia-Parakeet-ctc-1.1b-universal", "facebook/mms-1b-all", "openai/whisper-small", "whitefox123/w2v-bert-2.0-arabic-4", "jonatasgrosman/wav2vec2-large-xlsr-53-arabic", "speechbrain/asr-wav2vec2-commonvoice-14-ar"],
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  "Average WER⬇️": [32.91, 34.74, 36.86, 38.16, 40.05, 40.20, 42.57, 45.50, 45.57, 46.54, 51.96, 54.54, 55.13, 58.13, 60.98, 65.74],
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  "Average CER": [13.84, 13.37, 17.21, 17.03, 18.87, 19.55, 20.49, 17.35, 22.27, 23.88, 25.19, 21.45, 21.68, 27.62, 25.61, 30.93],
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  "SADA WER": [44.52, 47.26, 55.96, 62.52, 60.36, 57.46, 63.24, 67.82, 67.71, 70.70, 73.58, 77.48, 78.02, 87.34, 86.82, 88.54],