Update app.py to add project and fund info

app.py

@@ -231,17 +231,6 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
             image_output = gr.Image(
                 type="pil", label="Detection Result", height="auto")
 
-    gr.Markdown(
-        """
-        ---
-        ### **Reference**
-        **Paper Title:** Preliminary Study on Automating Rebar Detection in Reinforced Concrete Structures Using YOLOv11 and GPR Data
-        
-        *Presented at The 13th International Workshop on Advanced Ground Penetrating Radar – IWAGPR2025*
-        
-        **Models and Training Dataset:** [DOI: 10.5281/zenodo.15802541](https://doi.org/10.5281/zenodo.15802541)
-        """
-    )
 
     submit_btn.click(
         fn=detect_rebars,
@@ -250,5 +239,38 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         outputs=[image_output, status_output]
     )
 
+    
+    attribution_info = """
+    ## 📜 Paper Information
+    This Space is based on the research presented in our paper for IWAGPR25:
+    ```bibtex
+    @inproceedings{elseicy2025rebar,
+        title     = {Preliminary Study on Automating Rebar Detection in Reinforced Concrete Structures Using YOLOv11 and GPR Data},
+        author    = {Elseicy, Ahmed and Solla, Mercedes and Novo, Alexandre},
+        year      = {2025},
+        month     = {July},
+        booktitle = {2025 13th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)},
+        publisher = {IEEE},
+        pages     = {323--328},
+        isbn      = {979-8-3315-2335-0},
+        issn      = {2687-7899}
+    }
+    ```
+    ## 💾 Dataset Reference
+
+    The full models and the dataset used in the project are published in Zenodo [DOI: 10.5281/zenodo.16638791](https://doi.org/10.5281/zenodo.16638791).
+
+    ## 💰 Funding Acknowledgement
+
+    This research and development were made possible through the OVERSIGHT project (PID2022-138526OB-I00) funded by MICIU/AEI/10.13039/501100011033/FEDER, UE.
+    Grant PREP2022-000030 for the training of predoctoral researchers funded by MICIU/
+    AEI/10.13039/501100011033 and by FSE+. 
+    M. Solla acknowledges the Grant RYC2019–026604–I funded by MICIU/
+    AEI/10.13039/501100011033 and by “ESF Investing in
+    your future”.
+"""
+    with gr.Accordion("Show Publication Info, Dataset & Funding Details", open=True):
+        gr.Markdown(attribution_info)
+
 if __name__ == "__main__":
     demo.launch()