update requirements

app.py

@@ -1,7 +1,8 @@
 import gradio as gr
-import supervision as sv
 import numpy as np
-from gradio.components import Image, Textbox, Radio
+import supervision as sv
+from gradio.components import Image, Radio, Textbox
+
 
 def plot_bounding_boxes(image, boxes, box_type):
     x0, y0, x1, y1 = [int(i.strip()) for i in boxes.split(",")]
@@ -16,20 +17,22 @@ def plot_bounding_boxes(image, boxes, box_type):
 
     bounding_box_annotator = sv.BoundingBoxAnnotator()
     annotated_image = bounding_box_annotator.annotate(
-        scene=image, detections=detections)
-    
+        scene=image, detections=detections
+    )
+
     return annotated_image
 
+
 iface = gr.Interface(
     fn=plot_bounding_boxes,
     inputs=[
         Image(type="pil", label="Image"),
-        Textbox(label="Bounding Boxes", lines=3, default="100,100,200,200"),
+        Textbox(label="Bounding Boxes", lines=3),
         Radio(["xyxy", "xywh"], label="Bounding Box Type"),
     ],
     outputs=Image(type="pil"),
     title="Plot Bounding Boxes",
-    description="Plot bounding boxes on an image. Useful for testing object detection models without writing bounding box code. Powered by [supervision](https://github.com/roboflow/supervision)."
+    description="Plot bounding boxes on an image. Useful for testing object detection models without writing bounding box code. Powered by [supervision](https://github.com/roboflow/supervision).",
 )
 
-iface.launch()
+iface.launch()

requirements.txt

@@ -1 +1,2 @@
-supervision
+supervision
+gradio