Rename app (2).py to app.py

app (2).py → app.py

@@ -105,20 +105,15 @@ def cleanup_old_files():
             if current_time - file_path.stat().st_mtime > 3600:  # 1 hour
                 file_path.unlink()
 
-title_html = """
-<h2> <span class="gradient-text" id="text">General OCR Theory</span><span class="plain-text">: Towards OCR-2.0 via a Unified End-to-end Model</span></h2>
-<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> 
-"""
+title_html = """ Bajaj """
 
 with gr.Blocks() as demo:
     gr.HTML(title_html)
     gr.Markdown("""
-    "🔥🔥🔥This is the official online demo of GOT-OCR-2.0 model!!!"
+    "Demo of Bajaj OCR!!!"
     
-    ### Demo Guidelines
-    You need to upload your image below and choose one mode of GOT, then click "Submit" to run GOT model. More characters will result in longer wait times.
+    ### Guidelines
+    You need to upload your image below and choose your mode. More characters will result in longer wait times.
     - **plain texts OCR & format texts OCR**: The two modes are for the image-level OCR.
     - **plain multi-crop OCR & format multi-crop OCR**: For images with more complex content, you can achieve higher-quality results with these modes.
     - **plain fine-grained OCR & format fine-grained OCR**: In these modes, you can specify fine-grained regions on the input image for more flexible OCR. Fine-grained regions can be coordinates of the box, red color, blue color, or green color.
@@ -162,23 +157,6 @@ with gr.Blocks() as demo:
     with gr.Column():
         gr.Markdown("**If you choose the mode with format, the mathpix result will be automatically rendered as follows:**")
         html_result = gr.HTML(label="rendered html", show_label=True)
-    
-    gr.Examples(
-        examples=[
-            ["assets/coco.jpg", "plain texts OCR", "", "", ""],
-            ["assets/en_30.png", "plain texts OCR", "", "", ""],
-            ["assets/table.jpg", "format texts OCR", "", "", ""],
-            ["assets/eq.jpg", "format texts OCR", "", "", ""],
-            ["assets/exam.jpg", "format texts OCR", "", "", ""],
-            ["assets/giga.jpg", "format multi-crop OCR", "", "", ""],
-            ["assets/aff2.png", "plain fine-grained OCR", "box", "", "[409,763,756,891]"],
-            ["assets/color.png", "plain fine-grained OCR", "color", "red", ""],
-        ],
-        inputs=[image_input, task_dropdown, fine_grained_dropdown, color_dropdown, box_input],
-        outputs=[ocr_result, html_result],
-        fn=run_GOT,
-        label="examples",
-    )
 
     task_dropdown.change(
         task_update,