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project.audio.sentiment

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rayespinozah commited on Oct 20, 2023

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daa5ad7

1 Parent(s): 19a5ac7

Update app.py

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app.py CHANGED Viewed

@@ -74,7 +74,7 @@ def inference(audio, sentiment_option):
 title = """<h1 align="center">Audio Sentiment Analysis</h1>"""
 subtitle = """<h6 align="center">Automatic Speech Recognition</h6>"""
-image_path = "thmbnail.jpg"
 description = """
 <p align="justify">With cross-modal interaction and AI (tools and pre-trained models in NLP), we can analyze large audio data
 in real-time, such as recorded conversations, customer service calls, or voice recordings, in order to identify and categorize

 title = """<h1 align="center">Audio Sentiment Analysis</h1>"""
 subtitle = """<h6 align="center">Automatic Speech Recognition</h6>"""
+image_path = "Arquitecture_W.jpg"
 description = """
 <p align="justify">With cross-modal interaction and AI (tools and pre-trained models in NLP), we can analyze large audio data
 in real-time, such as recorded conversations, customer service calls, or voice recordings, in order to identify and categorize