Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -626,7 +626,15 @@ def format_prediction(model_output_dic):
|
|
626 |
|
627 |
# Gradio UI Elements
|
628 |
title = "Music2Emo: Towards Unified Music Emotion Recognition across Dimensional and Categorical Models"
|
629 |
-
description_text = "Upload an audio file to analyze its emotional characteristics using Music2Emo. The model will predict: • Mood tags describing the emotional content • Valence score (1-9 scale, representing emotional positivity) • Arousal score (1-9 scale, representing emotional intensity) "
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
630 |
|
631 |
# Custom CSS Styling
|
632 |
css = """
|
|
|
626 |
|
627 |
# Gradio UI Elements
|
628 |
title = "Music2Emo: Towards Unified Music Emotion Recognition across Dimensional and Categorical Models"
|
629 |
+
# description_text = "Upload an audio file to analyze its emotional characteristics using Music2Emo. The model will predict: • Mood tags describing the emotional content • Valence score (1-9 scale, representing emotional positivity) • Arousal score (1-9 scale, representing emotional intensity) "
|
630 |
+
description_text = """
|
631 |
+
<p>Predict the emotion of music with Music2Emo!
|
632 |
+
<br/><br/> Upload an audio file to analyze its emotional characteristics using Music2Emo. The model will predict: • Mood tags describing the emotional content • Valence score (1-9 scale, representing emotional positivity) • Arousal score (1-9 scale, representing emotional intensity)
|
633 |
+
<br/><br/> This is the demo for Music2Emo for predicting emotion from music: <a href="https://arxiv.org/abs/2311.08355">Read our paper.</a>
|
634 |
+
<p/>
|
635 |
+
"""
|
636 |
+
|
637 |
+
|
638 |
|
639 |
# Custom CSS Styling
|
640 |
css = """
|