citation text added

app.py

@@ -65,6 +65,28 @@ import cv2
 from PIL import ImageFont, ImageDraw, Image
 font = ImageFont.truetype("kalpurush.ttf", 60)
 
+citation_text = """<div>
+                    <br><p>This is a demo space for the paper: <i>Improving Character Recognition in Bangla Handwritten Words: A Two-Stage Single Shot Detector Approach</i>.</p>
+                    <p>Direct Link to the Paper: 
+                    <a href='https://ieeexplore.ieee.org/document/10499463' style='text-decoration: none; color: blue;'>https://ieeexplore.ieee.org/document/10499463</a></p>
+                    <p>ResearchGate Link to the Paper: 
+                    <a href='https://www.researchgate.net/publication/380009779_Improving_Character_Recognition_in_Bangla_Handwritten_Words_A_Two-Stage_Single_Shot_Detector_Approach' style='text-decoration: none; color: blue;'>https://bit.ly/ResearchGatePaperLink</a></p>
+                    <p>Please cite this paper with BibTeX as follows:</p>
+                    </div>
+                    <div style='background-color: #f0f0f0; padding: 10px; border-radius: 5px;'>
+        @INPROCEEDINGS{10499463,<br>
+        &nbsp;&nbsp;author={Pal, Avi and Hasan, Md. Sajid and Masudul Ahsan, Sk. Md.},<br>
+        &nbsp;&nbsp;booktitle={2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)}, <br>
+        &nbsp;&nbsp;title={Improving Character Recognition in Bangla Handwritten Words: A Two-Stage Single Shot Detector Approach}, <br>
+        &nbsp;&nbsp;year={2024},<br>
+        &nbsp;&nbsp;volume={},<br>
+        &nbsp;&nbsp;number={},<br>
+        &nbsp;&nbsp;pages={1-6},<br>
+        &nbsp;&nbsp;keywords={YOLO;Deep learning;Image segmentation;Handwriting recognition;Image recognition;Optical character recognition;Transfer learning;Machine learning;Image Processing and Computer Vision;Optical character recognition;Tensorflow;MobileNetV2;Convolutional Neural Network;Single Shot Detector},<br>
+        &nbsp;&nbsp;doi={10.1109/iCACCESS61735.2024.10499463}}<br>
+    </div>
+                    """
+
 #import more
 import tensorflow as tf
 from object_detection.utils import config_util
@@ -573,6 +595,6 @@ import gradio as gr
 HF_TOKEN = os.getenv("SECRET_TOKEN")
 hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "word-flag-data")
 
-demo = gr.Interface(fn=model_predict, inputs= "paint", outputs=["text","image"],
-	description="Reduce pen ink size from Pen Icon(🖋️) for better results!",allow_flagging="auto",flagging_callback=hf_writer)
+demo = gr.Interface(fn=model_predict, inputs= "paint", outputs=["text","image"],title= "Bangla Word OCR",
+	description="Reduce pen ink size from Pen Icon(🖋️) for better results!",article=citation_text,allow_flagging="auto",flagging_callback=hf_writer)
 demo.launch()