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app.py

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+import gradio as gr
+import torch
+
+from PIL import Image
+
+model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True)
+
+def detect(image):
+    results = model(image)  
+    results.render() 
+    return Image.fromarray(results.imgs[0])
+
+
+inputs = gr.inputs.Image(type='pil', label="Original Image")
+outputs = gr.outputs.Image(type="pil", label="Output Image")
+
+title = "Object detection from Infrared image using YOLOv5n"
+
+
+gr.Interface(detect, inputs, outputs, title=title, theme="huggingface").launch(debug=True)
+