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import gradio as gr
from PIL import Image
from transformers import pipeline
pipeline = pipeline(
"image-classification",
model="fauzanardh/anime-time-beit_classifier",
)
def classify_image(input_img: Image.Image) -> dict:
data = pipeline(input_img, top_k=4)
out = {}
for d in data:
out[d["label"]] = d["score"]
return out
demo = gr.Interface(
fn=classify_image,
inputs=gr.Image(type="pil"),
outputs=gr.Label(label="Prediction"),
)
demo.queue()
demo.launch()
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