app.py

import spaces
import gradio as gr
import torch
from diffusers import DiffusionPipeline
from optimization import compile_transformer
from hub_utils import _push_compiled_graph_to_hub
from huggingface_hub import whoami
import time
from fa3 import FlashFluxAttnProcessor3_0

# --- Model Loading ---
dtype = torch.bfloat16
device = "cuda" if torch.cuda.is_available() else "cpu"

# Load the model pipeline
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/Flux.1-Dev", torch_dtype=dtype).to(device)
pipe.transformer.set_attn_processor(FlashFluxAttnProcessor3_0())

@spaces.GPU(duration=1200)
def push_to_hub(repo_id, filename, oauth_token: gr.OAuthToken):
    if not filename.endswith(".pt2"):
        raise NotImplementedError("The filename must end with a `.pt2` extension.")

    # this will throw if token is invalid
    try:
        _ = whoami(oauth_token.token)

        # --- Ahead-of-time compilation ---
        start = time.perf_counter()
        compiled_transformer = compile_transformer(pipe, prompt="prompt")
        end = time.perf_counter()
        print(f"Compilation took: {end - start} seconds.")

        token = oauth_token.token
        out = _push_compiled_graph_to_hub(
            compiled_transformer.archive_file, repo_id=repo_id, token=token, path_in_repo=filename
        )
        return out
    except Exception as e:
        raise gr.Error(
            f"""Oops, you forgot to login. Please use the loggin button on the top left to migrate your repo {e}"""
        )


css = """
#col-container {
    margin: 0 auto;
    max-width: 520px;
}
"""
with gr.Blocks(css=css) as demo:
    with gr.Column(elem_id="col-container"):
        gr.Markdown(
            "## Compile [Flux.1-Dev](https://hf.co/black-forest-labs/Flux.1-Dev) graph ahead of time & push to the Hub"
        )
        gr.Markdown(
            "Enter a **repo_id** and **filename**. This repo automatically compiles the Flux.1-Dev model ahead of time. Read more about this in [this post](https://huggingface.co/blog/zerogpu-aoti)."
        )
        gr.Markdown("Depending on the model, it can take some time (2-10 mins) to compile.")

        repo_id = gr.Textbox(label="repo_id", placeholder="e.g. sayakpaul/qwen-aot")
        filename = gr.Textbox(label="filename", placeholder="e.g. compiled.pt2")

        run = gr.Button("Push graph to Hub", variant="primary")

        markdown_out = gr.Markdown(label="Output")

    run.click(push_to_hub, inputs=[repo_id, filename], outputs=[markdown_out])


def swap_visibilty(profile: gr.OAuthProfile | None):
    return gr.update(elem_classes=["main_ui_logged_in"]) if profile else gr.update(elem_classes=["main_ui_logged_out"])


css_login = """
.main_ui_logged_out{opacity: 0.3; pointer-events: none; margin: 0 auto; max-width: 520px}
"""
with gr.Blocks(css=css_login) as demo_login:
    gr.LoginButton()
    with gr.Column(elem_classes="main_ui_logged_out") as main_ui:
        demo.render()
    demo_login.load(fn=swap_visibilty, outputs=main_ui)

demo_login.queue()
demo_login.launch()