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c7348bc
Update app.py
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app.py
CHANGED
@@ -16,7 +16,7 @@ import torch
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import librosa #For converting audio sample rate to 16k
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from easymms.models.tts import TTSModel #For TTS inference using EasyMMS
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LANG = "tih" #Change to tih for Timugon Murut or iba for Iban
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model_id = "facebook/mms-1b-all"
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processor = AutoProcessor.from_pretrained(model_id)
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@@ -49,7 +49,7 @@ def transcribe(input): #Gradio UI wrapper function
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with gr.Blocks(theme = gr.themes.Soft()) as demo:
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gr.HTML(
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"""
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<h1 align="center">Ponutun Tuturan om Pomorolou Sinuat Boros
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<h5 align="center"> Poomitanan kopogunaan do somit tutun tuturan om pomorolou sinuat (speech recognition and text-to-speech models)
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pinoluda' di Woyotanud Tuturan Gumukabang Tagayo di Meta (Meta Massive Multilingual Speech Project)</h5>
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<h6 align = "center">Guguno (app) diti winonsoi di Ander © 2023 id Universiti Teknologi PETRONAS</h6>
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import librosa #For converting audio sample rate to 16k
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from easymms.models.tts import TTSModel #For TTS inference using EasyMMS
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LANG = "tih" #Change to tih for Timugon Murut or iba for Iban. Use any ISO language code.
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model_id = "facebook/mms-1b-all"
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processor = AutoProcessor.from_pretrained(model_id)
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with gr.Blocks(theme = gr.themes.Soft()) as demo:
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gr.HTML(
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"""
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<h1 align="center">Ponutun Tuturan om Pomorolou Sinuat Boros Murut (Ragu ru Murut)</h1>
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<h5 align="center"> Poomitanan kopogunaan do somit tutun tuturan om pomorolou sinuat (speech recognition and text-to-speech models)
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pinoluda' di Woyotanud Tuturan Gumukabang Tagayo di Meta (Meta Massive Multilingual Speech Project)</h5>
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<h6 align = "center">Guguno (app) diti winonsoi di Ander © 2023 id Universiti Teknologi PETRONAS</h6>
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