initial check in

README.md

@@ -1,12 +1,2 @@
----
-title: Demobias
-emoji: 🐠
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 4.1.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# fast_cassifiers
+Demoing a classifier to predict an uploaded image is a car or a fish or a dog or a cat or even a tree, just in case when dementia hits me, if I forget to identify them. Help yourself if you would like.

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('bias_demo.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 = "Demo Bias"
+description = "An app to demonstrate incorporating bias into AI. 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 = ['cat.jpg']
+interpretation='default'
+enable_queue=True
+
+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(share=True)
+

bias_demo.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fb27009816fee8264815625c585c72fd47b3a681a0ad41694b931b675d6b175f
+size 46986381

requirements.txt

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+voila
+fastai>=2
+pillow<7
+packaging
+ipywidgets==7.5.1