visualization optimize

app.py

@@ -117,14 +117,33 @@ def process_and_display(flair_file, t1ce_file, seg_file, slice_index):
     return subplot_img
 
 
+title = "<center><strong><font size='8'>Open-Vocabulary SAM<font></strong></center>"
+css = "h1 { text-align: center } .about { text-align: justify; padding-left: 10%; padding-right: 10%; }"
+
 # Gradio Interface
-with gr.Blocks() as demo:
+with gr.Blocks(css=css, title="Tumor Segmentation") as demo:
+    gr.Markdown(
+        """
+                
+<p style="text-align: center; font-size: 24px;">MRI Brain Tumor Segmentation</p>
+
+<p style="text-align: center;">made by Ahmet Duzduran</p>
+
+
+### <p style="text-align: left;">Faculty: Faculty of Computer Science</p>
+
+### <p style="text-align: left;">Specialization: Intelligent Systems and Data Science</p>
+
+### <p style="text-align: left;">Supervisor: Wojciech Oronowicz, PhD, Prof. Of PJATK</p>
+
+        """
+    )
     with gr.Row():
         flair_input = gr.File(label="Upload Flair NIfTI File")
         t1ce_input = gr.File(label="Upload T1ce NIfTI File")
         seg_input = gr.File(label="Upload Seg NIfTI File")
         slice_input = gr.Slider(minimum=0, maximum=VOLUME_SLICES - 1, label="Slice Index")
-        #eval_class_input = gr.Dropdown(choices=list(range(len(SEGMENT_CLASSES))), label="Select Class")
+        # eval_class_input = gr.Dropdown(choices=list(range(len(SEGMENT_CLASSES))), label="Select Class")
         submit_button = gr.Button("Submit")
 
     with gr.Row():