model.py

.ipynb_checkpoints/app-checkpoint.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from fastai.vision.all import *
+
+leaner = load_learner('model.pkl')
+categories = ['black', 'grizzly', 'teddy']
+
+def predict(img):
+    preds,idx,probs = leaner.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+
+demo = gr.Interface(fn=predict, 
+                    inputs=gr.inputs.Image(shape=(224, 224)),
+                    outputs= gr.outputs.Label()
+                   )
+demo.launch(inline=false)

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+leaner = load_learner('model.pkl')
+categories = ['black', 'grizzly', 'teddy']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def predict(img):
+    preds,idx,probs = leaner.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+
+demo = gr.Interface(fn=predict, 
+                    inputs=gr.inputs.Image(shape=(224, 224)),
+                    outputs= gr.outputs.Label()
+                   )
+demo.launch(inline=false)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2b4e4ff272d5b27e405baf5fe6e07b3e00a49e9d29c3c5106f1988fdada1f63
+size 46968929