Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
|
@@ -84,6 +84,10 @@ with gr.Blocks() as demo:
|
|
| 84 |
gr.Markdown("## 🎙️ Aero-1-Audio")
|
| 85 |
gr.Markdown(
|
| 86 |
"""
|
|
|
|
|
|
|
|
|
|
|
|
|
| 87 |
Aero-1-Audio is a lightweight audio-language model with only 1.5 billion parameters, trained on 50,000 hours of high-quality audio data. Despite its compact size, it supports a wide range of tasks, such as Automatic Speech Recognition (ASR), Basic Audio Understanding, Audio Instruction Following, and Scene Audio Analysis.
|
| 88 |
|
| 89 |
Notably, Aero-1-Audio excels at lossless ASR on ultra-long audio—up to 16 minutes—without the need for audio segmentation.
|
|
|
|
| 84 |
gr.Markdown("## 🎙️ Aero-1-Audio")
|
| 85 |
gr.Markdown(
|
| 86 |
"""
|
| 87 |
+
<p align="center" width="100%">
|
| 88 |
+
<img src="https://i.postimg.cc/k5Ls32WK/aero-1-audio.png" width="80%" height="80%">
|
| 89 |
+
</p>
|
| 90 |
+
|
| 91 |
Aero-1-Audio is a lightweight audio-language model with only 1.5 billion parameters, trained on 50,000 hours of high-quality audio data. Despite its compact size, it supports a wide range of tasks, such as Automatic Speech Recognition (ASR), Basic Audio Understanding, Audio Instruction Following, and Scene Audio Analysis.
|
| 92 |
|
| 93 |
Notably, Aero-1-Audio excels at lossless ASR on ultra-long audio—up to 16 minutes—without the need for audio segmentation.
|