Update app.py

app.py

@@ -108,19 +108,14 @@ semantic_segment_checkbox = gr.inputs.Checkbox(label="Semantic Segment", default
 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\n'
-
-
-
-logo_base64 = add_logo()
-# Create the title with the logo
-title_with_logo = \
-    f'Understanding Image with Text'+'\n\n'+'<img src="data:image/jpeg;base64,{logo_base64}" width="400" style="vertical-align: middle;">'
-
 examples = [
     ["examples/test_4.jpg"],
 ]
 
+logo_base64 = add_logo()
+
+extra_title = f'<img src="data:image/jpeg;base64,{logo_base64}" width="400" style="vertical-align: middle;">'+'\n\n'
+
 # Create Gradio interface
 interface = gr.Interface(
     fn=lambda image, api_key, options: process_image(image, api_key, options, processor),
@@ -132,7 +127,7 @@ interface = gr.Interface(
             ),
             ],
     outputs=gr.outputs.HTML(),
-    title=title_with_logo,
+    title='Understanding Image with Text',
     examples=examples,
     description=extra_title +"""
     Image.txt. This code support image to text transformation. Then the generated text can do retrieval, question answering et al to conduct zero-shot.