introduction = """
    # Grid-free Harmonic Retrieval and Model Order Selection using Convolutional Neural Networks
    This app is a demo for our paper "Grid-free Harmonic Retrieval and Model Order Selection using Convolutional Neural Networks".
    The corresponding paper can be found on [arxiv](https://arxiv.org/abs/2211.04846).
                
    This applet lets you explore our CNN with data from the validationset by using the **slider below the plots** to explore the data and results for different SNRs: 0, 10, 20, and 30 dB.
    The groundtruth parameters are at the center of the black circle and the estimates are at the center of the blue circles, while the magnitude is displayed in the background (DFT-upsampled 4x).
    """

acknowledgements = """
    ## Acknowledgements
    The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the project “Open6GHub” (grant number: 16KISK015), “KOMSENS-6G” (grant number: 16KISK125), and DFG project HoPaDyn with Grant-No. TH 494/30-1.
        
    Furthermore, the authors give special thanks to Henning Schwanbeck (HPC team leader) of the TU Ilmenau Computer Center for his valuable support.
    """

contact = """
    ## Contact
    If you have questions or encounter any issues in the use of this applet, please let me know.
    You can either  
    - write a me an email to [steffen.schieler@tu-ilmenau.de](mailto:steffen.schieler@tu-ilmenau.de)  
    - or start a new discussion in the [Community Tab](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo/discussions)  


    ## Links
    - Paper on Arxiv [https://arxiv.org/abs/2211.04846](https://arxiv.org/abs/2211.04846)
    - Blog Article [https://www.steffenschieler.xyz/blog/2024/intro/](https://www.steffenschieler.xyz/blog/2024/intro/)
    - [Technische Universit ̈at Ilmenau: FG EMS, Ilmenau, Germany](https://www.tu-ilmenau.de/en/ems)
    """