Update app.py

app.py

@@ -20,7 +20,7 @@ def display_pdf(file):
 st.title("FAQ of the AI Open Responsible Use License")
 
 
-st.markdown("Licensing discussions in the field of AI have been ongoing for quite a while. Even though some proposals were made some time ago on the data licensing front (see [Linux Foundation CDLA](https://www.linuxfoundation.org/press/press-release/enabling-easier-collaboration-on-open-data-for-ai-and-ml-with-cdla-permissive-2-0), [Montreal Data Initiative](https://arxiv.org/abs/1903.12262), [Open Data Commons](https://opendatacommons.org/licenses/)), there has not been major adoption for the moment, compared to Open Source and Creative Commons licenses. However, these licenses are not tailored to ML, and that can cause confusion. When it comes to machine learning (ML) models, 2022 has been the year of new customized ML model licenses such as OPT175, BB3, SEER, LLaMA big models' [licenses](https://github.com/facebookresearch/metaseq/blob/main/projects/OPT/MODEL_LICENSE.md); the GLM130 ML model [licenses](https://github.com/THUDM/GLM-130B/blob/main/MODEL_LICENSE); or [responsible AI licenses](https://www.licenses.ai/blog/2022/8/26/bigscience-open-rail-m-license) (RAILs). However, until now, there was no AI-specific license enabling the licensing of every ML component in a single license with a simple approach similar to the one taken by an MIT license. Today, we present the [AI Open Responsible Use License v.1.0.0] (https://huggingface.co/spaces/CarlosMF/AI-ORUS-License-v1.0.0)(AI ORUS License).")
+st.markdown("Licensing discussions in the field of AI have been ongoing for quite a while. Even though some proposals were made some time ago on the data licensing front (see [Linux Foundation CDLA](https://www.linuxfoundation.org/press/press-release/enabling-easier-collaboration-on-open-data-for-ai-and-ml-with-cdla-permissive-2-0), [Montreal Data Initiative](https://arxiv.org/abs/1903.12262), [Open Data Commons](https://opendatacommons.org/licenses/)), there has not been major adoption for the moment, compared to Open Source and Creative Commons licenses. However, these licenses are not tailored to ML, and that can cause confusion. When it comes to machine learning (ML) models, 2022 has been the year of new customized ML model licenses such as OPT175, BB3, SEER, LLaMA big models' [licenses](https://github.com/facebookresearch/metaseq/blob/main/projects/OPT/MODEL_LICENSE.md); the GLM130 ML model [licenses](https://github.com/THUDM/GLM-130B/blob/main/MODEL_LICENSE); or [responsible AI licenses](https://www.licenses.ai/blog/2022/8/26/bigscience-open-rail-m-license) (RAILs). However, until now, there was no AI-specific license enabling the licensing of every ML component in a single license with a simple approach similar to the one taken by an MIT license. Today, we present the [AI Open Responsible Use License v.1.0.0](https://huggingface.co/spaces/CarlosMF/AI-ORUS-License-v1.0.0) (AI ORUS License).")
 
 st.markdown("## What’s the goal of the license?")