import gradio as gr
import asyncio
from huggingface_hub import AsyncInferenceClient
client = AsyncInferenceClient()

def image_classifier(inp):
    class_names = ["0", "1"]
    inp.save("why.png")
    sunflower_path = "why.png"
    r = asyncio.run(client.zero_shot_image_classification("why.png", labels=["mouth", "other"]))
    c = {}
    c[r[0]["label"]] = r[0]["score"]
    c[r[1]["label"]] = 1 - r[0]["score"]
    return c


demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label")
demo.launch(debug=True)