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add code to download the model downloading from hf
Browse files- app.py +5 -1
- models/best.pt +0 -3
app.py
CHANGED
@@ -1,9 +1,13 @@
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import gradio as gr
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import PIL.Image as Image
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from ultralytics import YOLO
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def infer(img_path):
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results = model(img_path)
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import gradio as gr
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import PIL.Image as Image
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from ultralytics import YOLO
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from huggingface_hub import hf_hub_download
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REPO_ID = 'vaivTA/yolov8x_doclaynet'
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FILENAME = "weights/best.pt"
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hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
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model = YOLO('./weights/best.pt')
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def infer(img_path):
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results = model(img_path)
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models/best.pt
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@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:1dd302218b154d57bb4971bb9c5908d64484af51703a90bd427377841a481811
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size 6258543
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