app.py

from turtle import title
import gradio as gr
from transformers import pipeline
import numpy as np
from PIL import Image


pipe = pipeline("zero-shot-image-classification", model="openai/clip-vit-base-patch32")


def shot(image, labels_text):
    PIL_image = Image.fromarray(np.uint8(image)).convert('RGB')
    labels = labels_text.split(",")
    res = pipe(images=PIL_image, 
           candidate_labels=labels,
           )
    return {dic["label"]: dic["score"] for dic in res}
    
iface = gr.Interface(shot, 
                    ["image", "text"], 
                    "label", 
                    
                    description="Placer une image",
                    title="Powo Class")

iface.launch()