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Update app.py
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app.py
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@@ -84,18 +84,16 @@ with gr.Blocks() as demo:
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gr.Markdown("## ποΈ Aero-1-Audio")
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gr.Markdown(
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"""
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Aero-1-Audio is a
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ASR, basic Audio Understanding, Audio Instruction Following, and scene analysis
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- nvidia conference and a show from elon musk for long ASR
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- Simple Audio Instruction Following
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- Audio Understanding for weather and music
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"""
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gr.Markdown("## ποΈ Aero-1-Audio")
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gr.Markdown(
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"""
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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.
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Notably, Aero-1-Audio excels at lossless ASR on ultra-long audioβup to 16 minutesβwithout the need for audio segmentation.
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[π Blog](https://www.lmms-lab.com/posts/aero_audio/) | [π€ Model Checkpoints](https://huggingface.co/lmms-lab/Aero-1-Audio-1.5B) | [π Evaluation Results](https://github.com/EvolvingLMMs-Lab/lmms-eval/pull/658) | [π Cookbook](https://www.lmms-lab.com/posts/lmms-lab-docs/aero_audio/)
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To explore its capabilities, you can upload your own audio or record your voice directly.
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Or simply start by trying the example demo below.
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β οΈ Disclaimer: Aero-1-Audio is still under active development. Occasional inaccuracies may occur. We appreciate your understanding and welcome any feedback to help us make it better.
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"""
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