Upload 3 files

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('Dog_Type_Classified/itlarni_zoti_klassifikatsiyasi.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = 'Dog type Classifier'
+description = 'A dog type classifier trained on random images from internet with fastai. Created as a demo for Gradio and HuggingFace Spaces.'
+#examples = ['GrizzlyBearJeanBeaufort.jpg']
+
+gr.Interface(fn = predict,
+inputs = 'image',
+outputs = 'label',
+title = title,
+description = description
+#examples = examples
+).launch()

itlarni_zoti_klassifikatsiyasi.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:246e0042604a0d488eb4523e9191d69ba8a1f21fe4c789a3021f77280c3373bb
+size 103096829

requirements.txt

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+fastai
+scikit-image