Updated .gitattributes so git lfs will track .pkl files

.vscode/settings.json

@@ -0,0 +1,6 @@
+{
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter"
+    },
+    "python.formatting.provider": "none"
+}

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
+from fastai.vision.all import *
+import skimage
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('export.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+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 vs Cat Classifier"
+description = "A Dog vs Cat classifier trained on the Oxford Pets dataset with fastai."
+article="<p style='text-align: center'><a href='https://sirgil.org' target='_blank'>Sirgil Home</a></p>"
+examples = ['puppy.jpeg']
+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()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2e44ac43fb51e91529cd05fa3ca782fdf14edc05d98a5ef583dc4c946f00624
+size 47061329

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image