1

app.py

@@ -1,7 +1,20 @@
 import gradio as gr
+from fastai.vision.all import *
+# def greet(name):
+#     return "Hello " + name + "!!"
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('mig_or_su.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+labels = learn.dls.vocab
+
+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))}
+
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
+    .launch()
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()

mig_or_su.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc2070cdfc6a962a20171fc7c02d4cf4b8c1348f4c51be824546ce8cd53d5e62
+size 87472517