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+chess-model.pkl filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+title: Chess Classifier
+emoji: ♟️
+colorFrom: white
+colorTo: bllack
+sdk: gradio
+sdk_version: 3.16.1
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: chess-deployment.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% chess-deployment.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% chess-deployment.ipynb 3
+learn = load_learner("chess-model.pkl")
+
+# %% chess-deployment.ipynb 5
+categories = ("Bishop", "King", "Knight", "Pawn", "Queen", "Rook")
+
+def classify_image(img):
+    pred,pred_idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% chess-deployment.ipynb 7
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ["bishop.png", "king.jpg", "knight.png", "rook.jpg", "pawn.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title="Chess Piece Classifier", description="Classify chess pieces into King, Queen, Bishop, Knight, Rook, or Pawn")
+intf.launch(inline=False)

chess-model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3ba4ef127ec7e6f1506f1b19f709d44097fe582c23b900936b216598beadbdbe
+size 46971819

requirements.txt

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+torch <1.12
+fastai>2.6.1
+timm