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import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="pranavbup/aircraft-classification")
def predict(image):
predictions = pipeline(image)
return {p["label"]: p["score"] for p in predictions}
gr.Interface(
predict,
inputs=gr.inputs.Image(label="Upload only commercial aircraft image here", type="filepath"),
outputs=gr.outputs.Label(num_top_classes=5),
title="Which Aircraft type is it?",
).launch(inline=False)
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