Update app.py

app.py

@@ -21,6 +21,24 @@ def predict_image(img, conf_threshold, iou_threshold, model_name):
         im = Image.fromarray(im_array[..., ::-1])
     return im
 
+# Custom CSS for font styling
+css = """
+body, .gradio-container {
+    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif !important;
+}
+.gr-button {
+    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif !important;
+    font-weight: 500 !important;
+}
+.gr-box h1 {
+    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif !important;
+    font-weight: 600 !important;
+}
+.gr-box p {
+    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif !important;
+}
+"""
+
 iface = gr.Interface(
     fn=predict_image,
     inputs=[
@@ -30,7 +48,7 @@ iface = gr.Interface(
         gr.Radio(choices=["yolov8m_defence.pt"], label="Model Name", value="yolov8m_defence.pt"),
     ],
     outputs=gr.Image(type="pil", label="Detection Results"),
-    title="🛡️ YOLOv8m Defence Object Detection - DSTA Brainhack 2025",
+    title="YOLOv8m Defence Object Detection",
     description="""
     Upload images to detect military and civilian vehicles, aircraft, and ships using our fine-tuned YOLOv8m model.
     
@@ -38,7 +56,7 @@ iface = gr.Interface(
     Vehicles (car, truck, tank, bus, van), Ships (cargo, yacht, cruise, warship, sailboat), 
     and specialized items (drone, missile).
     
-    *Developed for DSTA Brainhack 2025 - TIL-AI Category | [email protected]:0.95: 0.598*
+    *Developed for DSTA Brainhack 2025 - TIL-AI Category (Semi-Finalist)
     """,
     examples=[
         ["examples/test1.jpg", 0.25, 0.45, "yolov8m_defence.pt"],
@@ -52,6 +70,7 @@ iface = gr.Interface(
         ["examples/test9.jpg", 0.25, 0.45, "yolov8m_defence.pt"],
         ["examples/test10.jpg", 0.25, 0.45, "yolov8m_defence.pt"],
     ],
+    css=css
 )
 
 iface.launch(share=True)