test

app.py

@@ -1,9 +1,22 @@
 import gradio as gr
+from fastai.vision.all import *
 
 
 def greet(name):
     return "Hello " + name + "!!"
 
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_img(img):
+    categories = ["Suisei", "Toko"]
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+learn = load_learner("first_model.pkl")
+
+image = gr.inputs.Image(shape=(100, 100))
+label = gr.outputs.Label()
+examples = ["suiseicz.png", "tokocz.jpg"]
+
+iface = gr.Interface(fn=classify_img, inputs=image, outputs=label)
+iface.launch(inline=False)

first_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b3c2a33ce2e22d93d83ab6db4fb821ec9dc5f968d85953b32bfa4738714617a
+size 46964193