Delete app.py

app.py

@@ -1,37 +0,0 @@
-from ultralytics import YOLO
-import gradio as gr
-from PIL import Image
-from collections import Counter
-
-model = YOLO("yolov8s.pt")
-
-def detect_classify(image):
-    results = model(image)[0]
-    boxes = results.boxes
-
-    if boxes is not None and len(boxes.cls) > 0:
-        class_ids = boxes.cls.tolist()
-        names = results.names
-        labels = [names[int(cls_id)] for cls_id in class_ids]
-        label_counts = Counter(labels)
-        count_str = ", ".join([f"{v} {k}" for k, v in label_counts.items()])
-        total = sum(label_counts.values())
-        final_count = f"Total Detected: {total}\nBreakdown: {count_str}"
-    else:
-        final_count = "No objects detected."
-
-    annotated_img = Image.fromarray(results.plot())
-    return annotated_img, final_count
-
-demo = gr.Interface(
-    fn=detect_classify,
-    inputs=gr.Image(type="pil", label="Upload an Image"),
-    outputs=[
-        gr.Image(label="Detected Image"),
-        gr.Label(label="Detection Summary")
-    ],
-    title="Object Detector",
-    description="Upload an image to detect objects using YOLOv8."
-)
-
-demo.launch(server_name="0.0.0.0", server_port=7860)