front end updated

README.md

@@ -4,7 +4,7 @@ emoji: 🏥
 colorFrom: blue
 colorTo: green
 sdk: gradio
-sdk_version: "5.9.0"
+sdk_version: "4.40.0"
 app_file: app.py
 pinned: false
 ---

app.py

@@ -52,27 +52,38 @@ import spaces
 
 # breakpoint()
 MARKDOWN = """
-# <div style="text-align: center; font-size: 2.5em;">ሀ<span style="color: #32CD32;">A</span>ኪ<span style="color: #FFD700;">i</span>ም <sup>AI</sup></div>
+<div align="center">
 
-<div>
-    <a href="https://cyberbrainai.com/">
-        <img src="https://cyberbrainai.com/assets/logo.svg" alt="CyberBrain AI" style="display:inline-block; width:50px; height:50px;">
+# HakimAI
+
+<h1 style="font-size: 2.5em; margin-bottom: 10px;">
+    ሀ<span style="color: #32CD32;">A</span>ኪ<span style="color: #FFD700;">i</span>ም
+    <sup style="font-size: 0.5em;">AI</sup>
+</h1>
+
+<div style="margin: 20px 0;">
+    <a href="https://cyberbrainai.com/" style="margin: 0 5px;">
+        <img src="https://cyberbrainai.com/assets/logo.svg" alt="CyberBrain AI" style="width:50px; height:50px;">
     </a>
-    <a href="https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-segment-images-with-sam-2.ipynb">
-        <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="ድinቅneሽ" style="display:inline-block;">
+    <a href="https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-segment-images-with-sam-2.ipynb" style="margin: 0 5px;">
+        <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="ድinቅneሽ">
     </a>
-    <a href="https://www.youtube.com/watch?v=Dv003fTyO-Y">
-        <img src="https://badges.aleen42.com/src/youtube.svg" alt="YouTube" style="display:inline-block;">
+    <a href="https://www.youtube.com/watch?v=Dv003fTyO-Y" style="margin: 0 5px;">
+        <img src="https://badges.aleen42.com/src/youtube.svg" alt="YouTube">
     </a>
 </div>
 
+<div style="max-width: 800px; margin: 0 auto; text-align: left;">
+
 This demo integrates BiomedParse, a foundation model for joint segmentation, detection, and recognition across 9 biomedical imaging modalities. The model supports:
 
 - Segmentation/Detection/Recognition across multiple modalities (CT, MRI, X-Ray, etc.)
-- Text-prompted object detection
+- Text-prompted object detection  
 - Recognition of anatomical structures and abnormalities
 
+</div>
 
+</div>
 """
 
 IMAGE_PROCESSING_EXAMPLES = [