missing )

app.py

@@ -139,7 +139,7 @@ with gr.Blocks() as app:
     gr.Markdown('The models used in this app are based on the following papers:')
     gr.Markdown('Kusche, C., Reclik, T., Freund, M., Al-Samman, T., Kerzel, U., & Korte-Kerzel, S. (2019). Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning. PloS one, 14(5), e0216493. [Link](https://doi.org/10.1371/journal.pone.0216493)')
     #gr.Markdown('Medghalchi, S., Kusche, C. F., Karimi, E., Kerzel, U., & Korte-Kerzel, S. (2020). Damage analysis in dual-phase steel using deep learning: transfer from uniaxial to biaxial straining conditions by image data augmentation. Jom, 72, 4420-4430. [Link](https://link.springer.com/article/10.1007/s11837-020-04404-0)')
-    gr.Markdown('Setareh Medghalchi, Ehsan Karimi, Sang-Hyeok Lee, Benjamin Berkels, Ulrich Kerzel, Sandra Korte-Kerzel, Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning, Materials & Design, Volume 232, 2023, 112108, ISSN 0264-1275, [link] (https://doi.org/10.1016/j.matdes.2023.112108')
+    gr.Markdown('Setareh Medghalchi, Ehsan Karimi, Sang-Hyeok Lee, Benjamin Berkels, Ulrich Kerzel, Sandra Korte-Kerzel, Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning, Materials & Design, Volume 232, 2023, 112108, ISSN 0264-1275, [link] (https://doi.org/10.1016/j.matdes.2023.112108)')
     gr.Markdown('Original data and code, including the network weights,  can be found at Zenodo [link](https://zenodo.org/records/8065752)')
 
     image_input = gr.Image()