Create app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('characters.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Video Game Character Classifier"
+examples = ['ellie.jpg', 'arthur.jpg', 'kratos.jpg', 'ellielou.jpg']
+
+# Updated Gradio Interface with new syntax
+with gr.Blocks() as demo:
+    gr.Markdown("# " + title)
+    # Use width and height instead of shape
+    image_input = gr.Image(width=128, height=128)
+    label_output = gr.Label()
+    
+    # Create submit button
+    submit_btn = gr.Button("Classify")
+    submit_btn.click(fn=predict, inputs=image_input, outputs=label_output)
+
+    # Adding examples
+    gr.Examples(examples, inputs=image_input, outputs=label_output, fn=predict)
+
+demo.launch()