detection model added

app.py

@@ -1,7 +1,47 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+# demo.launch()
+
 import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+
+#Load model
+model = YOLO('yolov8n.pt')
+
+def image_display(input_image):
+    # Return the input image as the output
+    model = YOLO('yolov8n.pt')
+    results = model(input_image)
+    for r in results:
+        im_array = r.plot()  # plot a BGR numpy array of predictions
+        im = Image.fromarray(im_array[..., ::-1])  # RGB PIL image
+
+    return im_array
+
+input_component = gr.inputs.Image()
+output_component = gr.outputs.Image()
+
+# Create the Gradio interface
+gr.Interface(
+    fn=image_display,
+    inputs=input_component,
+    outputs=output_component,
+    title="Image Display App",
+    description="Upload an image and see it displayed.",
+    theme="compact"
+).launch(share=True)
+
+
 
-def greet(name):
-    return "Hello " + name + "!!"
+# demo = gr.Interface(
+#     fn=greet,
+#     inputs='textbox',
+#     outputs='textbox',
+# )
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# demo.launch()