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import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="pranavanbupathy/test-fgvc")
def predict(image):
predictions = pipeline(image)
return {p["label"]: p["score"] for p in predictions}
gr.Interface(
predict,
examples=["./Bombardier-CRJ-700.jpg","./atr72.jpeg","./c208.jpg","./fokker70.jpg","b737.jpg"],
inputs=gr.inputs.Image(label="Upload only commercial aircraft image here", type="filepath"),
outputs=gr.outputs.Label(num_top_classes=5),
title="Find which Aircraft it is ✈️",
).launch(inline=False)
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