Create app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+# Load the model
+learn = load_learner('model(1).pkl')
+
+# Define prediction function
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return {str(learn.dls.vocab[i]): float(probs[i]) for i in range(len(probs))}
+
+# Launch Gradio app
+gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=2),
+    title="Cat vs Dog Classifier",
+    description="Upload an image of a pet and the model will predict if it's a cat or a dog."
+).launch()