added model and images, replaced default gradio code

app.py

@@ -1,15 +1,15 @@
-from fastai.vision.all import *
+from fastai.vision.all import load_learner
 import gradio as gr
 
-def is_maths(x): return x[0].isupper()
+# def is_maths(x): return x[0].isupper()
 
-#learn = load_learner("model.pkl")
+learn = load_learner("model.pkl")
 
 categories = ('Make Noise Maths', 'Make Noise Mimeophon')
 
-# def classify_image(img):
-#     pred,idx,probs = learn.predict(img)
-#     return dict(zip(categories, map(float, probs)))
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
 
 image = gr.Image(type="pil")
 label = gr.Label()
@@ -18,11 +18,5 @@ examples = [
     "images/make-noise-mimeophon.jpg"
     ]
 
-
-#default gradio shizzle below
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cf6a4f14c2c69d5aaf61ceeaa58673d96be21464a53d3be6d9995db1eff8948
+size 46955025