Update app.py

app.py

@@ -32,7 +32,7 @@ def draw_detections(image, detections):
         # Draw rectangles and text with a larger font
         cv2.rectangle(np_image, (x_min, y_min), (x_max, y_max), (0, 255, 0), 2)
         label_text = f'{label} {score:.2f}'
-        cv2.putText(np_image, label_text, (x_min, y_min - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 3)
+        cv2.putText(np_image, label_text, (x_min, y_min - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2)
     
     # Convert BGR to RGB for displaying
     final_image = cv2.cvtColor(np_image, cv2.COLOR_BGR2RGB)
@@ -50,16 +50,15 @@ def get_pipeline_prediction(pil_image):
 
 # Define the Gradio blocks interface
 with gr.Blocks() as demo:
-    gr.Markdown("## Object Detection")
     with gr.Row():
-        inp_image = gr.Image(label="Input image", type="pil")
-        btn_run = gr.Button('Run Detection')
-    
-    with gr.Tab("Annotated Image"):
-        out_image = gr.Image()
-    
-    with gr.Tab("Detection Results"):
-        out_json = gr.JSON()
+        with gr.Column():
+            inp_image = gr.Image(label="Input image", tool=None)
+            btn_run = gr.Button('Run Detection')
+        with gr.Column():
+            with gr.Tab("Annotated Image"):
+                out_image = gr.Image()
+            with gr.Tab("Detection Results"):
+                out_json = gr.JSON()
 
     btn_run.click(get_pipeline_prediction, inputs=inp_image, outputs=[out_image, out_json])