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Update app.py

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  1. app.py +3 -2
app.py CHANGED
@@ -43,7 +43,7 @@ demo = gr.Interface(
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  inputs=gr.Audio(),
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  outputs="text",
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  theme="huggingface",
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- title="JASR ๐Ÿ Dialectal Arabic ASR",
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  description="""
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  <div class="centered-content">
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  <div>
@@ -54,7 +54,8 @@ demo = gr.Interface(
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  <p style="font-size: 15px; line-height: 1.8;">
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  Marhaba ๐Ÿ‘‹๐Ÿผ
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  <br>
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- Welcome to JASR, pronounced Jasir, an automatic speech recognition system optimized for the regional dialects of <i>Jazirat al-Arab</i>, or the Arabian Peninsula. The model is a fine-tune of the speech foundation model <a https://huggingface.co/facebook/w2v-bert-2.0" style="color: #FF5349;">w2v-BERT 2.0</a>, a 580M pre-trained speech encoder.
 
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  <br>
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  <p style="font-size: 15px; line-height: 1.8;">
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  Simply <strong>upload an audio file</strong> ๐Ÿ“ค or <strong>record yourself speaking</strong> ๐ŸŽ™๏ธโบ๏ธ to try out the model!
 
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  inputs=gr.Audio(),
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  outputs="text",
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  theme="huggingface",
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+ title="JASR ๐Ÿ Dialectal Arabic Speech Recognition",
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  description="""
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  <div class="centered-content">
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  <div>
 
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  <p style="font-size: 15px; line-height: 1.8;">
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  Marhaba ๐Ÿ‘‹๐Ÿผ
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  <br>
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+ <br>
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+ This is a demo for JASR, pronounced <i>Jasir</>, an automatic speech recognition system optimized for the regional dialects of <i>Jazirat al-Arab</i>, or the Arabian Peninsula. The model is a fine-tune of the speech foundation model <a https://huggingface.co/facebook/w2v-bert-2.0" style="color: #FF5349;">w2v-BERT 2.0</a>, a 580M pre-trained speech encoder.
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  <br>
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  <p style="font-size: 15px; line-height: 1.8;">
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  Simply <strong>upload an audio file</strong> ๐Ÿ“ค or <strong>record yourself speaking</strong> ๐ŸŽ™๏ธโบ๏ธ to try out the model!