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from ultralytics import YOLO
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from PIL import Image
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import gradio as gr
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from huggingface_hub import snapshot_download
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import os
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model_path = "C:\Aung\AI_Project"
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def load_model(repo_id):
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download_dir = snapshot_download(repo_id)
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print(download_dir)
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path = os.path.join(download_dir, "best_int8_openvino_model")
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print(path)
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detection_model = YOLO(path, task='detect')
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return detection_model
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def predict(pilimg):
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source = pilimg
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result = detection_model.predict(source, conf=0.6, iou=0.5)
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img_bgr = result[0].plot()
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out_pilimg = Image.fromarray(img_bgr[..., ::-1])
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return out_pilimg
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REPO_ID = "ITI107-2023S2/SnakeAndLizardDetection"
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detection_model = load_model(REPO_ID)
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gr.Interface(fn=predict,
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inputs=gr.Image(type="pil"),
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outputs=gr.Image(type="pil")
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).launch(share=True)
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