Butterfly ver 0

app.py

@@ -1,7 +1,16 @@
 import gradio as gr
+from fastai.vision.all import *
+import numpy as np
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('dense_model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+    img = np.array(img)
+    pred, idx, probs = learn.predict(img)
+    return pred
+
+image = gr.inputs.Image(shape=(224,224))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)

dense_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1661017c0d03ac43784748af5cb6b535e9ec21d6a540a83233d526ae0e81c364
+size 83835918