Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -60,26 +60,9 @@ def classify_audio(audio_file):
|
|
| 60 |
return dict(zip(categories, map(float, probs)))
|
| 61 |
|
| 62 |
description = """
|
| 63 |
-
|
| 64 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
## Instructions:
|
| 68 |
-
- Upload or record audio (no more than 20 seconds for now)
|
| 69 |
-
- Wait for processing and prediction from the model.
|
| 70 |
-
|
| 71 |
-
## Emotions the app recognizes:
|
| 72 |
-
1) Anger
|
| 73 |
-
2) Disgust
|
| 74 |
-
3) Fear
|
| 75 |
-
4) Happiness
|
| 76 |
-
5) Pleasant Surprise
|
| 77 |
-
6) Sadness
|
| 78 |
-
7) Neutral
|
| 79 |
-
|
| 80 |
-
## About:
|
| 81 |
-
This application is actually using a computer vision model (an adaptation of ResNet) for detection and the model
|
| 82 |
-
has been trained on a relatively small dataset of 2,380 recordings from two actors saying phrases in different emotions.
|
| 83 |
|
| 84 |
For more information, visit this [Github repo](https://github.com/KyawHtetWin/issem-machine-learning/tree/main/audio_emotion_detector)
|
| 85 |
"""
|
|
|
|
| 60 |
return dict(zip(categories, map(float, probs)))
|
| 61 |
|
| 62 |
description = """
|
| 63 |
+
## Welcome to the app that recognizes emotion from the audio! Upload/record your audio (no more than 20 seconds) and see the model prediction of the emotions.
|
| 64 |
|
| 65 |
+
## 7 Emotions the app recognizes: Anger, Disgust, Fear, Happiness, Pleasant Surprise (ps), Sadness, Neutral
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
|
| 67 |
For more information, visit this [Github repo](https://github.com/KyawHtetWin/issem-machine-learning/tree/main/audio_emotion_detector)
|
| 68 |
"""
|