initial commit

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

.gitignore

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+hugging_spaces_pat.txt

app.py

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+# Gradio app interface to dog_breed_classifier model fine-tuned on kaggle. 
+# This is the project from lesson 2 of the fastai Deep Learning course.
+# 
+# Reference:
+# Kaggle: https://www.kaggle.com/code/mpfoley73/dog-breed-classification
+# Dog Breed dataset: https://www.kaggle.com/datasets/khushikhushikhushi/dog-breed-image-dataset
+# Tanishq blog: https://www.tanishq.ai/blog/posts/2021-11-16-gradio-huggingface.html
+# Fastai: https://course.fast.ai/Lessons/lesson2.html
+#
+
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('dog_breed_classifier.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 Breed Classifier"
+description = "A dog breed classifier trained on the Dog Breed dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+examples = ['Chester 14.jpg']
+interpretation='default'
+enable_queue=True
+
+# Construct a Gradio Interface object from the function (usually an ML model
+# inference function), Gradio input components (the number should match the
+# number of function parameters), and Gradio output components (the number 
+# should match the number of values returned by the function).
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    interpretation=interpretation,
+    enable_queue=enable_queue
+).launch()

dog_breed_classifier.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:86196aa05c2694a0f3940795f23f94ff3bdd5005e10d4dc2d4b6b461bd45d157
+size 46997568

requirements.txt

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+fastai
+scikit-image