Update app.py

app.py

@@ -1,9 +1,33 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
+
+__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+# Cell
+from fastai.vision.all import *
 import gradio as gr
- 
-def greet(name):
-    return "Hello " + name + "!!"
- 
- 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
- 
+
+# Function to check if an image is of a cat or dog based on filename capitalization
+def is_cat(x): 
+    return x[0].isupper()
+
+# Load the trained model
+learn = load_learner('model.pkl')
+
+# Define categories for classification
+categories = ('Dog', 'Cat')
+
+# Image classification function
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# Gradio UI components
+image = gr.Image(type="pil")  # Use "pil" to ensure image is passed correctly
+label = gr.Label()  # Updated from `gr.outputs.Label()`
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']  # Ensure these files exist
+
+# Define the Gradio interface
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+
+# Launch the Gradio app
+intf.launch(inline=False)