Upload app.py

app.py

@@ -1,7 +1,46 @@
+# -*- coding: utf-8 -*-
+"""Copy of app.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1PkLAIGVP2xaP1XiU1KH9Bn4hO34hXe98
+"""
+
+#/default_exp app
+
+
+
+#/export
+#from fastai.vision.all import *
+!pip install gradio
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+#/export
+def is_monet(x): return x[0].issupper
+
+#/export
+from fastai.vision.all import *
+
+#/export
+learn = load_learner('model.pkl')
+
+#/export
+categories = ('Manet', 'Monet')
+def classify_image(img):
+  pred, idx, probs = learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+# export
+image = gr.Image()  # Image input without shape argument
+label = gr.Label()  # Label output
+
+# Define some example images (make sure these paths are correct)
+examples = ['monet2.jpg', 'manet2.jpg', 'manet1.jpeg']
+
+# Create the Gradio interface
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+
+# Launch the interface with Inline=False to open in a separate window
+intf.launch(share=True)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()