update logo

app.py

@@ -64,26 +64,31 @@ def main():
 
     args = parse_arguments()
 
-    description = "Welcome to the Document Image Enhancement (DIE) model demo on Hugging Face!\n\n" \
-                  "" \
-                  "This interactive application showcases a specialized AI model developed by " \
-                  "the [Artificial Intelligence group](https://ai.renyi.hu) at the [Alfréd Rényi Institute of Mathematics](https://renyi.hu).\n\n" \
-                  "" \
-                  "Our DIE model is designed to enhance and restore archival and aged document images " \
-                  "by removing various types of degradation, thereby making historical documents more legible " \
-                  "and suitable for Optical Character Recognition (OCR) processing.\n\n" \
-                  "" \
-                  "The model effectively tackles 20-30 types of domain-specific noise found in historical records, " \
-                  "such as scribbles, bleed-through text, faded or worn text, blurriness, textured noise, " \
-                  "and unwanted background elements. " \
-                  "By applying deep learning techniques, specifically a U-Net-based architecture, " \
-                  "the model accurately cleans and clarifies text while preserving original details. " \
-                  "This improved clarity dramatically boosts OCR accuracy, making it an ideal " \
-                  "pre-processing tool in digitization workflows.\n\n" \
-                  "" \
-                  "If you’re interested in learning more about the model’s capabilities or potential applications, " \
-                  "please contact us at: [email protected].\n" \
-                  "<img src='https://huggingface.co/spaces/renyi-ai/die_demo/blob/main/logo/qr-code.png' width=200px>\n\n"
+    description = """
+        Welcome to the Document Image Enhancement (DIE) model demo on Hugging Face!\n\n
+        
+        This interactive application showcases a specialized AI model developed by
+        the [Artificial Intelligence group](https://ai.renyi.hu) at the [Alfréd Rényi Institute of Mathematics](https://renyi.hu).\n\n
+        
+        Our DIE model is designed to enhance and restore archival and aged document images 
+        by removing various types of degradation, thereby making historical documents more legible
+        and suitable for Optical Character Recognition (OCR) processing.\n\n
+        
+        The model effectively tackles 20-30 types of domain-specific noise found in historical records, 
+        such as scribbles, bleed-through text, faded or worn text, blurriness, textured noise, 
+        and unwanted background elements. 
+        By applying deep learning techniques, specifically a U-Net-based architecture, 
+        the model accurately cleans and clarifies text while preserving original details. 
+        This improved clarity dramatically boosts OCR accuracy, making it an ideal 
+        pre-processing tool in digitization workflows.\n\n
+        
+        If you’re interested in learning more about the model’s capabilities or potential applications,
+        please contact us at: gabar92@renyi.hu.\n
+        
+        <img src='https://huggingface.co/spaces/renyi-ai/die_demo/blob/main/logo/qr-code.png' width=200px>\n\n
+        <img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px>
+        <img src="https://huggingface.co/spaces/renyi-ai/die_demo/blob/main/logo/qr-code.png" width=200px>
+    """
 
     # TODO: Add a description for the Number of DIE iterations parameter!