app.py

app.py

@@ -1,7 +1,23 @@
+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()
+learn = load_learner("export.pkl" )
+
+def classify_image(img):
+    pred, pred_idx, probs = learn.predict(img)
+    return pred
+
+bear_types = 'grizzly' , 'black' , 'teddy'
+
+image = gr.inputs.Image(shape=(192 , 192))
+
+label = gr.outputs.Label()
+
+examples = ["teddy.jpg" , "black.jpg" , "grizzly.jpg" ]
+
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline = False)
+
+

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2236159e0668246e6a917afdc09c0f909d7e9760f8614a18e17e127827edfe59
+size 46971745