Create app.py
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app.py
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import torch
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import cv2
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import numpy as np
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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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from huggingface_hub import hf_hub_download
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# Hugging Face'ten YOLO modelini indir
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model_path = hf_hub_download("keremberke/yolov8n-pcb-defect-segmentation", "best.pt")
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# Modeli yükle
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model = YOLO(model_path)
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def detect_defects(image):
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results = model.predict(image, save=False)
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annotated_image = results[0].plot() # Tahmin sonuçlarını çiz
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return annotated_image
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iface = gr.Interface(
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fn=detect_defects,
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inputs=gr.Image(type="pil"),
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outputs=gr.Image(type="pil"),
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title="PCB Defect Segmentation"
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)
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iface.launch()
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