final

app.py

@@ -1,7 +1,14 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('spiral_model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_img(img):
+    pred,idx,probs = learn.predict(img)
+    return str(pred + ",   probability: " + str(round(torch.max(probs).item(), 4)) )
+
+image = gr.inputs.Image(shape=(400, 400))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label)
+intf.launch(inline=False)

spiral_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e544545d8997943f075024a14dba58bd5abcdb35dac4414bf14663730072fc8
+size 87478028