Update app.py

app.py

@@ -26,12 +26,11 @@ def run_GOT(image_array, got_mode, fine_grained_mode="", ocr_color="", ocr_box="
     elif got_mode == "format fine-grained OCR":
         res = model.chat(tokenizer, image, ocr_type='format', ocr_box=ocr_box, ocr_color=ocr_color, render=True, save_render_file=html_file)
 
-    print("res:\n", res)
+    # print("res:\n", res)
     if "format" in got_mode:
         with open(html_file, 'r') as f:
             demo_html = f.read()
-        demo_html = demo_html.replace("https://cdn.jsdelivr.net/npm/[email protected]/es5/bundle.js", "assets/bundle.js")
-        print("demo_html: \n", demo_html)
+        # print("demo_html: \n", demo_html)
         print(os.path.abspath(html_file))
         return res, demo_html
     return res, None
@@ -76,6 +75,14 @@ with gr.Blocks() as demo:
     "🔥🔥🔥This is the official online demo of GOT-OCR-2.0 model!!!"
     
     ### 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.
+    - **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.
     """)
     
     with gr.Row():
@@ -113,8 +120,7 @@ with gr.Blocks() as demo:
         with gr.Column():
             ocr_result = gr.Textbox(label="GOT output")
 
-    with gr.Column():
-        html_show = gr.HTML(f'<a href="/home/user/app/demo.html" target="_blank">Open Demo HTML</a>')
+
     with gr.Column():
         html_result = gr.HTML(
                 label="rendered html", show_label=True)