Update

app.py

@@ -0,0 +1,28 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# # Bear Classifier
+# 
+# This is a prototype tool to deploy a model which classifies 3 bear categories namely Black, Grizzly and Teddy (Toys)
+# 
+# Upload a picture of a bear and click classify to the results
+
+
+
+from fastai.vision.all import *
+import gradio as gr
+import skimage
+
+
+learn_inf = load_learner('bear_model.pkl')
+labels = learn_inf.dls.vocab
+
+
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn_inf.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), title = "Bear Classifier",
+description = "A Bear Classifier trained with fastai. Created as a demo for Gradio and HuggingFace Spaces.",interpretation='default').launch(share=True)
+

bear_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47166b5e2fb29512210520037d5824b962da00b76430ca2a030de71ed433b6f4
+size 46970465

requirements.txt

@@ -0,0 +1,5 @@
+# Automatically generated by https://github.com/damnever/pigar.
+# reqs/bear_classfier.py: 14
+fastai == 2.5.3
+gradio
+scikit-image