Create app.py

app.py

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+import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+import torch
+
+# Load your model
+model = YOLO('HockeyAI_model_weight.pt')
+
+def predict(image):
+    # Convert gradio image to PIL
+    if isinstance(image, str):
+        image = Image.open(image)
+    
+    # Run inference
+    results = model.predict(image)
+    
+    # Get the plotted image with predictions
+    return results[0].plot()
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(),
+    outputs=gr.Image(),
+    title="YOLOv8 Object Detection",
+    description="Upload an image to detect objects using YOLOv8"
+)
+
+demo.launch()