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)