Update app.py

app.py

@@ -1,7 +1,36 @@
 import gradio as gr
+import cv2
+from geti_sdk.deployment import Deployment
+from geti_sdk.utils import show_image_with_annotation_scene
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Step 1: Load the deployment
+deployment = Deployment.from_folder("deployment")
+deployment.load_inference_models(device="CPU")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def resize_image(image, max_dimension):
+    height, width = image.shape[:2]
+    if max(height, width) <= max_dimension:
+        return image
+    if height > width:
+        new_height = max_dimension
+        new_width = int(width * (max_dimension / height))
+    else:
+        new_width = max_dimension
+        new_height = int(height * (max_dimension / width))
+    resized_image = cv2.resize(image, (new_width, new_height))
+    return resized_image
+
+def infer(image=None):
+    if image is None:
+        return None
+    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+    prediction = deployment.infer(image)
+    output = show_image_with_annotation_scene(cv2.cvtColor(image, cv2.COLOR_BGR2RGB), prediction, show_results=False)
+    output = cv2.cvtColor(output, cv2.COLOR_BGR2RGB)
+    # output = cv2.resize(output, (224, 224))
+    return output
+
+gr.Interface(fn=infer, 
+             inputs='image',
+             outputs='image',
+             examples=["eggsample1.png", "eggsample2.png"]).launch()