cafeai
waifu demo
98dbf51
import gradio as gr
from transformers import pipeline
pipe_aesthetic = pipeline("image-classification", "cafeai/cafe_aesthetic")
def aesthetic(input_img):
data = pipe_aesthetic(input_img, top_k=2)
final = {}
for d in data:
final[d["label"]] = d["score"]
return final
demo_aesthetic = gr.Interface(fn=aesthetic, inputs=gr.Image(type="pil"), outputs=gr.Label(label="aesthetic"))
pipe_style = pipeline("image-classification", "cafeai/cafe_style")
def style(input_img):
data = pipe_style(input_img, top_k=5)
final = {}
for d in data:
final[d["label"]] = d["score"]
return final
demo_style = gr.Interface(fn=style, inputs=gr.Image(type="pil"), outputs=gr.Label(label="style"))
pipe_waifu = pipeline("image-classification", "cafeai/cafe_waifu")
def waifu(input_img):
data = pipe_waifu(input_img, top_k=5)
final = {}
for d in data:
final[d["label"]] = d["score"]
return final
demo_waifu = gr.Interface(fn=waifu, inputs=gr.Image(type="pil"), outputs=gr.Label(label="waifu"))
gr.Parallel(demo_aesthetic, demo_style, demo_waifu).launch()