Upload app.py

app.py

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+# app.py
+
+__all__ = ['bird', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+# Load categories from label.txt
+with open('labels.txt', 'r') as file:
+    categories = [line.strip() for line in file.readlines()]
+
+# Load the model
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+# Define the classification function
+def classify_image(img):
+    preds, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# Gradio components
+image = gr.components.Image()
+label = gr.components.Label(num_top_classes=3)
+
+# Create and launch the interface
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False, share=True)