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Update app.py
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app.py
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@@ -72,7 +72,7 @@ def inference(audio, sentiment_option):
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return lang.upper(), result.text, sentiment_output
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title = """<h1 align="center">🎤 Multilingual ASR 💬</h1>"""
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image_path = "
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description = """
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💻 This demo showcases a general-purpose speech recognition model called Whisper. It is trained on a large dataset of diverse audio and supports multilingual speech recognition, speech translation, and language identification tasks.<br><br>
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<br>
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return lang.upper(), result.text, sentiment_output
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title = """<h1 align="center">🎤 Multilingual ASR 💬</h1>"""
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image_path = "thmbnail.jpg"
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description = """
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💻 This demo showcases a general-purpose speech recognition model called Whisper. It is trained on a large dataset of diverse audio and supports multilingual speech recognition, speech translation, and language identification tasks.<br><br>
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<br>
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