app.py

"""This space is taken and modified from https://huggingface.co/spaces/merve/compare_clip_siglip"""
from transformers import pipeline
import gradio as gr

################################################################################
# Load the models
################################################################################
sg1_ckpt = "google/siglip-so400m-patch14-384"
sg1_pipe = pipeline(task="zero-shot-image-classification", model=sg1_ckpt, device="cpu")

sg2_ckpt = "google/siglip2-so400m-patch14-384"
sg2_pipe = pipeline(task="zero-shot-image-classification", model=sg2_ckpt, device="cpu")

################################################################################
# Run inference
################################################################################
def infer(image, candidate_labels):
    candidate_labels = [label.lstrip(" ") for label in candidate_labels.split(",")]

    sg1_socres = sg1_pipe(image, candidate_labels=candidate_labels)
    sg2_socres = sg2_pipe(image, candidate_labels=candidate_labels)
    
    sg1_outputs = {element["label"]:element["score"] for element in sg1_socres}
    sg2_outputs = {element["label"]:element["score"] for element in sg2_socres}

    return sg1_outputs, sg2_outputs

################################################################################
# Gradio App
################################################################################
with gr.Blocks() as demo:
    gr.Markdown("# Compare SigLIP 1 and SigLIP 2")
    gr.Markdown(
        "Compare the performance of SigLIP 1 and SigLIP 2 on zero-shot classification in this Space 👇"
    )
    with gr.Row():
        with gr.Column():
            image_input = gr.Image(type="pil")
            text_input = gr.Textbox(label="Input a list of labels (comma seperated)")
            run_button = gr.Button("Run", visible=True)

        with gr.Column():
            siglip1_output = gr.Label(label="SigLIP 1 Output", num_top_classes=3)
            siglip2_output = gr.Label(label="SigLIP 2 Output", num_top_classes=3)

    examples = [
        ["./baklava.jpg", "dessert on a plate, a serving of baklava, a plate and spoon"],
        ["./cat.jpg", "a cat, two cats, three cats"],
        ["./cat.jpg", "two sleeping cats, two cats playing, three cats laying down"],
        ]
    gr.Examples(
        examples=examples,
        inputs=[image_input, text_input],
        outputs=[siglip1_output, siglip2_output],
        fn=infer,
    )
    run_button.click(
        fn=infer, inputs=[image_input, text_input], outputs=[siglip1_output, siglip2_output]
    )

demo.launch()