Update app_1.py

app_1.py

@@ -29,7 +29,7 @@ def image_to_base64(image):
     image.save(buffered, format="PNG")
     return base64.b64encode(buffered.getvalue()).decode()
 
-
+# OCR Processing of the image uploaded by the user
 # @spaces.GPU
 def run_GOT(image,language):
     unique_id = str(uuid.uuid4())
@@ -93,7 +93,20 @@ title_html = """
 <p>Scan Master uses General OCR Theory (GOT), a 580M end-to-end OCR 2.0 model for English optical character recognition and EASYOCR for Hindi optical character recognition. It supports plain text ocr.</p>
 """
 
+# acknowledgement_html = """
+# <h3>Acknowledgement</h3>
+# <a href="https://huggingface.co/ucaslcl/GOT-OCR2_0">[😊 Hugging Face]</a> 
+# <a href="https://arxiv.org/abs/2409.01704">[📜 Paper]</a>
+# <a href="https://github.com/Ucas-HaoranWei/GOT-OCR2.0/">[🌟 GitHub]</a> 
+# """
+
+# aboutme_html = """
+# <h3>About Me</h3>
+# <p>Name : Satvik Chandrakar</p>
+# <a href="https://github.com/Satvik-ai">[🌟 GitHub]</a> """
+
 
+# Scan Master web application developed using Gradio
 with gr.Blocks() as scan_master_web_app:
     gr.HTML(title_html)
     gr.Markdown("""
@@ -125,8 +138,8 @@ with gr.Blocks() as scan_master_web_app:
         with gr.Column():
             search_result = gr.HTML(label="Search result")
     
-    gr.HTML(acknowledgement_html)
-    gr.HTML(aboutme_html)
+    # gr.HTML(acknowledgement_html)
+    # gr.HTML(aboutme_html)
 
     submit_button.click(
         run_GOT,
@@ -142,4 +155,4 @@ with gr.Blocks() as scan_master_web_app:
 
 if __name__ == "__main__":
     cleanup_old_files()
-    scan_master_web_app.launch() 
+    scan_master_web_app.launch()