Duplicate from khan994/draft

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README.md

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+---
+title: Draft
+emoji: 😻
+colorFrom: purple
+colorTo: purple
+sdk: gradio
+sdk_version: 3.17.0
+app_file: app.py
+pinned: false
+duplicated_from: khan994/draft
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from fastai.vision.all import *
+import gradio as gr
+import glob
+
+class Hook():
+  def hook_func(self, m, i, o): self.stored = o.detach().clone()
+
+learn = load_learner("resnet152_fit_one_cycle_freeze_91acc.pkl", cpu=True)
+
+categories = ('arbanasi', 'filibe', 'gjirokoster', 'iskodra', 'kula', 'kuzguncuk', 'larissa_ampelakia', 'mardin', 'ohrid', 'pristina', 'safranbolu', 'selanik', 'sozopol_suzebolu', 'tiran', 'varna')
+def classify_img(img):
+  pred,idx,probs=learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+image=gr.inputs.Image(shape=(128,128))
+label=gr.outputs.Label()
+examples_=[]
+for i in glob.glob("valid/**/*.jpg", recursive=True):
+    examples_.append(i)
+
+examples=["filibe-1-1.jpg",
+          "ohrid-3-1.jpg",
+          "varna-1-1.jpg"]
+
+
+demo = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+
+demo.launch(inline=False)

requirements.txt

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+fastai

resnet152_fit_one_cycle_freeze_91acc.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eef5a380a77c684a3178e96cbaa5e81ca4e0f4b8fb9bb6cea39290281a7a3881
+size 242310334