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Update app.py
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app.py
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import gradio as gr
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from ultralytics import YOLO
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from PIL import Image
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import os
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# Load YOLO model
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model = YOLO("Suspicious_Activities_nano.pt")
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results_img = results[0].plot()
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return Image.fromarray(results_img)
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#
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import gradio as gr
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from ultralytics import YOLO
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from PIL import Image
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# Load YOLO model
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model = YOLO("Suspicious_Activities_nano.pt")
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results_img = results[0].plot()
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return Image.fromarray(results_img)
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# Custom CSS for beauty ✨
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custom_css = """
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#main-card {
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background: rgba(255, 255, 255, 0.08);
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backdrop-filter: blur(12px);
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border-radius: 20px;
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box-shadow: 0 8px 25px rgba(0,0,0,0.2);
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padding: 30px;
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}
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h1 {
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font-size: 2.5rem !important;
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background: linear-gradient(90deg, #ff4b1f, #1fddff);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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text-align: center;
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margin-bottom: 10px;
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}
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.description {
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text-align: center;
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font-size: 1.1rem;
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margin-bottom: 25px;
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color: #ddd;
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}
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.gr-button {
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border-radius: 12px !important;
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padding: 10px 20px !important;
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font-weight: bold !important;
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transition: all 0.3s ease-in-out;
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}
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.gr-button:hover {
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transform: scale(1.05);
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box-shadow: 0 4px 15px rgba(0,0,0,0.3);
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}
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"""
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# Build modern UI
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with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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with gr.Column(elem_id="main-card"):
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gr.Markdown("<h1>🚨 Suspicious Activity Detection</h1>")
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gr.Markdown("<p class='description'>Upload an image and let YOLO detect suspicious activities instantly ⚡</p>")
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with gr.Row():
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input_image = gr.Image(type="pil", label="Upload Image", height=350)
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output_image = gr.Image(type="pil", label="Detection Result", height=350)
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with gr.Row():
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detect_btn = gr.Button("🔍 Detect", variant="primary")
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clear_btn = gr.Button("🗑️ Clear", variant="secondary")
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detect_btn.click(fn=predict_suspicious_activity, inputs=input_image, outputs=output_image)
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clear_btn.click(fn=lambda: (None, None), inputs=None, outputs=[input_image, output_image])
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# Launch
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demo.launch(share=True)
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