update huggingface grant

app.py

@@ -99,9 +99,16 @@ image_input = gr.inputs.Image(type='filepath', label="Input Image")
 # semantic_segment_checkbox = gr.inputs.Checkbox(label="Semantic Segment", default=False)
 image_generation_checkbox = gr.inputs.Checkbox(label="Image Generation", default=False)
 
+
+extra_title = r'![vistors](https://visitor-badge.glitch.me/badge?page_id=fingerrec.Image2Paragraph)' + '\n' + \
+              r'[![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-md-dark.svg)](https://huggingface.co/spaces/Awiny/Image2Paragraph?duplicate=true)' + '\n\n'
+
+
+
 logo_base64 = add_logo()
 # Create the title with the logo
-title_with_logo = f'<img src="data:image/jpeg;base64,{logo_base64}" width="400" style="vertical-align: middle;"> Understanding Image with Text'
+title_with_logo = \
+    f'<img src="data:image/jpeg;base64,{logo_base64}" width="400" style="vertical-align: middle;"> Understanding Image with Text'
 
 examples = [
     ["examples/test_4.jpg"],
@@ -119,7 +126,7 @@ interface = gr.Interface(
     outputs=gr.outputs.HTML(),
     title=title_with_logo,
     examples=examples,
-    description="""
+    description=extra_title +"""
     This code support image to text transformation. Then the generated text can do retrieval, question answering et al to conduct zero-shot.
     \n Github: https://github.com/showlab/Image2Paragraph
     \n Twitter: https://twitter.com/awinyimgprocess/status/1646225454599372800?s=46&t=HvOe9T2n35iFuCHP5aIHpQ