Second commit, previous did not respond

app.py

@@ -1,7 +1,33 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+# demo.launch()
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# We need to re-define the functions used in the models as the learner in the .pkl file uses these external functions and sousnt have the source code to the function
+def is_cat(x): return x[0].isupper()
+
+# we are loading the learner in the .pkl file to now do our project
+learn = load_learner('/Users/izd/Library/Mobile Documents/com~apple~CloudDocs/Documents/fastai_course/minimal/model.pkl')
+
+#N/b gradio does not handle pytorch tensors hence the need to convert to float
+categories = ('Dog,','Cat')
+
+def classify_image(img):
+    pred,id,probs = learn.predict(img)
+    # Read more on dict(zip())
+    return dict(zip(categories, map(float,probs)))
+
+dog = '/Users/izd/Library/Mobile Documents/com~apple~CloudDocs/Documents/fastai_course/minimal/doggy.jpg'
+cat = '/Users/izd/Library/Mobile Documents/com~apple~CloudDocs/Documents/fastai_course/minimal/gato.jpg'
+
+image = gr.Image(height=192, width=192)
+label = gr.Label()
+examples = [dog,cat]
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)