File size: 559 Bytes
a479683 5f23f81 a479683 70a5578 5f23f81 70a5578 5f23f81 e1b46e8 1637603 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
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,
examples=["./b777.jpg","./atr72.jpeg","./c208.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)
|