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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 numpy as np
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# Load YOLOv8 model (Nano version for speed)
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model = YOLO("yolov8n.pt")
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# Object detection function
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def detect_objects(image):
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if image is None:
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return None
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if isinstance(image, np.ndarray):
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image = Image.fromarray(image)
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results = model.predict(image)
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result_image = results[0].plot()
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return Image.fromarray(result_image)
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# Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("## 🎯 Real-Time Object Detection (YOLOv8)")
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image_input = gr.Image(label="📷 Upload or Capture Image", tool="editor", type="numpy")
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result_output = gr.Image(label="🧠 Detected Output", type="pil")
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detect_button = gr.Button("🚀 Detect Objects")
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detect_button.click(fn=detect_objects, inputs=image_input, outputs=result_output)
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demo.launch()
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