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README.md

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+---
+title: Bird Classification
+emoji: ⚡
+colorFrom: yellow
+colorTo: gray
+sdk: gradio
+sdk_version: 3.14.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('model.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return pred
+
+title = "Bird Species Classifier"
+description = "A bird species classifier trained on Kaggle dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces(Only identifies bird species)."
+examples = ['3.jpg','5.jpg','images.jpeg']
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(224, 224)),outputs=gr.outputs.Label(num_top_classes=1),title=title,description=description,examples=examples,enable_queue=enable_queue).launch()

gitattributes.txt

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model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2e88c92cf530ed84fac066b30b12d7c33f33be7682d4133773c76e5beb36da05
+size 89512473

requirements.txt

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+fastai
+scikit-image