Update app.py

app.py

@@ -1,3 +1,31 @@
 import gradio as gr
+from transformers import DetrImageProcessor, DetrForObjectDetection
+import torch
+import supervision as sv
+import json
 
-gr.Interface.load("models/Guy2/AirportSec-150epoch").launch()
+image_processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
+model = DetrForObjectDetection.from_pretrained("Guy2/AirportSec-100epoch")
+id2label = {0: 'dangerous-items', 1: 'Gun', 2: 'Knife', 3: 'Pliers', 4: 'Scissors', 5: 'Wrench'}
+def anylize(img):
+    image = img
+
+    with torch.no_grad():
+
+        inputs = image_processor(images=image, return_tensors='pt')
+        outputs = model(**inputs)
+    
+        target_sizes = torch.tensor([image.shape[:2]])
+        results = image_processor.post_process_object_detection(
+            outputs=outputs, 
+            threshold=0.8, 
+            target_sizes=target_sizes
+        )[0]
+
+    # annotate
+    detections = sv.Detections.from_transformers(transformers_results=results).with_nms(threshold=0.5)
+    labels = [str([list(xyxy), confidence, id2label[class_id]]) for xyxy, _, confidence, class_id, _ in detections]
+    json_list = json.dumps(labels)
+    return json_list
+
+gr.Interface(fn = anylize, inputs="image", outputs=gr.JSON()).launch()