app.py

import gradio as gr
import requests
import torch
from PIL import Image
from transformers import AlignProcessor, AlignModel

processor = AlignProcessor.from_pretrained("kakaobrain/align-base")
model = AlignModel.from_pretrained("kakaobrain/align-base")

pipe = pipeline(model="kakaobrain/align-base")

def image_classifier(image):
    outputs = pipe(image)
    results = {}
    for result in outputs:
        results[result['label']] = result['score']
    return results
title = "Is it a dog"
description = """
This app is not finished
"""

demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label", title=title, description=description)
demo.launch(show_api=False)