ok

app.py

@@ -1,7 +1,27 @@
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def is_cat(x): return x[0].isupper()
+
+# #posix path error handler from stack overflow
+# import pathlib
+# temp = pathlib.PosixPath
+# pathlib.PosixPath = pathlib.WindowsPath
+
+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)))
+
+image = gr.components.Image(shape = (192,192))
+# image = gr.components
+label = gr.components.Label()
+examples = ['dog.jpg']
+
+intf = gr.Interface(fn = classify_image , inputs = image, outputs=label, examples=examples)
+intf.launch(inline = False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bf13722aef34ef7438843ae08d7d0dfe631d461732c796c5943aea4e9fc83ea
+size 47058513