add cat-dog classifyer model

.gitignore

@@ -0,0 +1 @@
+gradenv/*

app.py

@@ -1,9 +1,24 @@
+from fastai.vision.all import *
 import gradio as gr
+from networkx import center
 
+def is_cat(x): return x[0].isupper()
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
+categories = ('Dog', 'Cat')
 
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+
+
+demo = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(height=224, width=224, label="Upload Image"),
+    outputs=gr.Label(),
+    examples=['dog.jpeg', 'cat.jpeg', 'images.jpeg']
+)
+
+# lanuch the interface
+demo.launch(share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2a53685764edf0c265be2c3e02073e7e1aed8d37dffcb87a08b372026dcb116
+size 47059947

requirements.txt

@@ -0,0 +1 @@
+fastbook