Add first example

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+cat.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,16 @@
+
+learner = load_learner("model.pkl")
+
+classes = learner.dls.vocab
+def classify_image(image):
+    pred, idx, probs = learner.predict(image)
+    return dict(zip(classes,map(float,probs)))
+
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+examples = ['cat.jpg', 'dog.jpg',"dunno.jpg"]
+
+# Cell
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5aff638c8188e999f9bc27f75fec8fb9969fd806090ccf145529d1e37ab2b9e2
+size 87634730

requirements.txt

@@ -0,0 +1 @@
+fastai