modified codes

app.py

@@ -1,7 +1,27 @@
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_pitbull(x): return 'american_pit_bull' in x.lower()
+
+learn = load_learner('model.pkl')
+pathlib.PosixPath = temp
+
+categories = ('not a Pitbull','a Pitbull')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+
+examples = ['images\pitbull.jpg','images\cat.jpg','images\dog.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5282f116070110c9c90be6c7b9bd98e13a2ee046afb6e48c8d1a24487e4ec442
+size 47063121

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+gradio==3.50