model implementation

app.py

@@ -1,7 +1,20 @@
 import gradio as gr
+import fastai
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn_inf = load_learner('export.pkl')
+
+categories=('Realism','Impressionism','Cubism', 'Baroque', 'Abstract Expressionism')
+
+def classify_image(img):
+    pred,idx,probs=learn_inf.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+image=gr.inputs.Image(shape=(192,192))
+label=gr.outputs.Label()
+examples=['ae.png']
+
+intf=gr.Interface(classify_image, image, label, capture_session=True, examples=examples)
+intf.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf4764531dab2d6971882d4318d470497be19ef03e8c057c6561cfde89358665
+size 46972842

requirements.txt

@@ -0,0 +1 @@
+fastai