Update app.py

app.py

@@ -1,3 +1,33 @@
 import gradio as gr
+from transformers import DetrImageProcessor, DetrForObjectDetection
+import torch
 
-gr.Interface.load("models/Guy2/AirportSec-100epoch").launch()
+
+def anylize(img):
+#     input_image_path = os.path.join(os.getcwd(), img.get_data()[0].name)
+#     return input_image_path
+    image = img
+
+    processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
+    model = DetrForObjectDetection.from_pretrained("taroii/finetuned-detr-50")
+
+    inputs = processor(images=image, return_tensors="pt")
+    outputs = model(**inputs)
+
+    #target_sizes = torch.tensor([image.size])
+    #target_sizes = torch.tensor([image.size[::-1]])
+    target_sizes = torch.tensor([image.shape[:2]])
+    results = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
+
+    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
+        box = [round(i, 2) for i in box.tolist()]
+        return(
+                f"Detected {model.config.id2label[label.item()]} with confidence "
+                f"{round(score.item(), 3)} at location {box}"
+        )
+
+    # return "Hello " + img + "!"
+
+app = gr.Interface(fn=anylize, inputs="image", outputs="text")
+
+app.launch()