Replacing test app.py file w/ bearsprediction

app-test.py

@@ -0,0 +1,7 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch().share=True

app.py

@@ -1,7 +1,22 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch().share=True
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+image = gr.Image(height=192, width=192)
+label = gr.Label()
+
+intf = gr.Interface(fn=predict, inputs=image, outputs=label)
+intf.launch(inline=False)
+
+
+#def greet(name):
+#    return "Hello " + name + "!!"
+
+#demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+#demo.launch()

bearmodel.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:947d5303ccaa49964b3f08f99970618b6ee2e1a38545e34efb64a36786aa53d1
+size 46974526