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add appendix & acknowledgements
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app.py
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@@ -293,6 +293,10 @@ function createGradioAnimation() {
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REFERENCES = """
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# References
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[1] Torkington, S. (2023, February 7). 50% of the global economy is under threat from biodiversity loss. World Economic Forum. Retrieved from https://www.weforum.org/agenda/2023/02/biodiversity-nature-loss-cop15/.
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[2] Huang, P.-Y., Xu, H., Li, J., Baevski, A., Auli, M., Galuba, W., Metze, F., & Feichtenhofer, C. (2022). Masked Autoencoders that Listen. In NeurIPS.
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[3] https://www.kaggle.com/code/dima806/bird-species-by-sound-detection
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"""
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# Function to handle model selection
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"""
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REFERENCES = """
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# Appendix
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We have applied the AudioMAE model to pre-classify the 23000+ unlabelled audio clips collected from the Greater Manaus region in the Amazon rainforest. The results of the audio type classification can be found in the following [link](https://drive.google.com/file/d/1uOT88LDnBD-Z3YcFz1e9XjvW2ugCo6EI/view?usp=drive_link). We hope that the pre-classification results can help researchers better exploring the vast collection of audio recordings and facilitate the study of biodiversity in the Amazon rainforest.
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# References
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[1] Torkington, S. (2023, February 7). 50% of the global economy is under threat from biodiversity loss. World Economic Forum. Retrieved from https://www.weforum.org/agenda/2023/02/biodiversity-nature-loss-cop15/.
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[2] Huang, P.-Y., Xu, H., Li, J., Baevski, A., Auli, M., Galuba, W., Metze, F., & Feichtenhofer, C. (2022). Masked Autoencoders that Listen. In NeurIPS.
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[3] https://www.kaggle.com/code/dima806/bird-species-by-sound-detection
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# Acknowledgements
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We would like to thank all organizers, mentors and participants of the AI+Environment EcoHackathon 2024 event for their unwavering support and collaboration. We extend our gratitude to ETH BiodivX, GainForest and ETH AI Center for providing data, facilities and resources that enabled us to analyse the rich data in different ways. Our special thanks to David Dao, Sarah Tariq, Alessandro Amodio for always being there to help us! 🙏🙏🙏
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"""
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# Function to handle model selection
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