app.py

# -*- coding: utf-8 -*-
# ZenCtrl Inpainting Playground (Baseten backend)

import os, json, base64, requests
from io import BytesIO
from PIL import Image, ImageDraw
import gradio as gr

# ────────── Secrets & endpoints ──────────
BASETEN_MODEL_URL = "https://app.baseten.co/models/YOUR_MODEL_ID/predict" 
BASETEN_API_KEY = os.getenv("BASETEN_API_KEY")
REPLICATE_TOKEN = os.getenv("REPLICATE_API_TOKEN")

from florence_sam.detect_and_segment import fill_detected_bboxes

# ────────── Globals ──────────
ADAPTER_NAME = "inpaint"
ADAPTER_SIZE = 1024
model_config = dict(union_cond_attn=True, add_cond_attn=False,
                    latent_lora=False, independent_condition=False)
css = "#col-container {margin:0 auto; max-width:960px;}"

#Background prompt via Replicate 
def _gen_bg(prompt: str):
    url = replicate.run(
        "google/imagen-4-fast",
        input={"prompt": prompt or "cinematic background", "aspect_ratio": "1:1"},
    )
    url = url[0] if isinstance(url, list) else url
    return Image.open(BytesIO(requests.get(url, timeout=120).content)).convert("RGB")

# Core generation
def process_image_and_text(subject_image, adapter_dict, prompt, use_detect, detect_prompt, size=ADAPTER_SIZE, rank=10.0):
    seed, guidance_scale, steps = 42, 2.5, 28

    if use_detect:
        base_img = adapter_dict["image"] if isinstance(adapter_dict, dict) else adapter_dict
        if base_img is None:
            raise gr.Error("Upload a background image first.")
        adapter_image, _ = fill_detected_bboxes(
            image=base_img, text=detect_prompt,
            inflate_pct=0.15, fill_color="#00FF00"
        )
    else:
        adapter_image = adapter_dict["image"] if isinstance(adapter_dict, dict) else adapter_dict
        if isinstance(adapter_dict, dict) and adapter_dict.get("mask") is not None:
            m = adapter_dict["mask"].convert("L").point(lambda p: 255 if p else 0)
            if bbox := m.getbbox():
                rect = Image.new("L", m.size, 0)
                ImageDraw.Draw(rect).rectangle(bbox, fill=255)
                m = rect
            green = Image.new("RGB", adapter_image.size, "#00FF00")
            adapter_image = Image.composite(green, adapter_image, m)

    def prep(img: Image.Image):
        w, h = img.size
        m = min(w, h)
        return img.crop(((w-m)//2, (h-m)//2, (w+m)//2, (h+m)//2)).resize((size, size), Image.LANCZOS)

    subj_proc = prep(subject_image)
    adap_proc = prep(adapter_image)

    def b64(img):
        buf = BytesIO(); img.save(buf, format="PNG")
        return base64.b64encode(buf.getvalue()).decode()

    payload = {
        "prompt": prompt,
        "subject_image": b64(subj_proc),
        "adapter_image": b64(adap_proc),
        "height": size, "width": size,
        "steps": steps, "seed": seed,
        "guidance_scale": guidance_scale, "rank": rank,
    }

    headers = {"Content-Type": "application/json"}
    if BASETEN_API_KEY:
        headers["Authorization"] = f"Api-Key {BASETEN_API_KEY}"

    resp = requests.post(BASETEN_MODEL_URL, headers=headers, json=payload, timeout=120)
    resp.raise_for_status()

    if resp.headers.get("content-type", "").startswith("image/"):
        raw_img = Image.open(BytesIO(resp.content))
    else:
        url = resp.json().get("image_url")
        if not url:
            raise gr.Error("Baseten response missing image data.")
        raw_img = Image.open(BytesIO(requests.get(url, timeout=120).content))

    return [[raw_img]], raw_img

# ────────── Header HTML ──────────
header_html = """
<h1>ZenCtrl Inpainting</h1>
<div align="center" style="line-height:1;">
  <a href="https://discord.com/invite/b9RuYQ3F8k" target="_blank" style="margin:10px;">
    <img src="https://img.shields.io/badge/Discord-Join-7289da.svg?logo=discord" alt="Discord">
  </a>
  <a href="https://fotographer.ai/zen-control" target="_blank" style="margin:10px;">
    <img src="https://img.shields.io/badge/Website-Landing_Page-blue" alt="LP">
  </a>
  <a href="https://x.com/FotographerAI" target="_blank" style="margin:10px;">
    <img src="https://img.shields.io/twitter/follow/FotographerAI?style=social" alt="X">
  </a>
</div>
"""

# ────────── Gradio UI ──────────
with gr.Blocks(css=css, title="ZenCtrl Playground") as demo:
    raw_state = gr.State()

    gr.HTML(header_html)
    gr.Markdown("""
**Generate context-aware images of your subject with ZenCtrl’s inpainting playground.**  
Upload a subject + optional mask, write a prompt, and hit **Generate**.  
Open *Advanced Settings* to fetch an AI-generated background.
""")

    with gr.Row():
        with gr.Column(scale=2, elem_id="col-container"):
            subj_img = gr.Image(type="pil", label="Subject image")
            ref_img  = gr.Image(type="pil", label="Background / Mask image", tool="sketch", brush_color="#00FF00", sources=["upload", "clipboard"])
            use_detect_ck = gr.Checkbox(False, label="Detect with Florence-SAM")
            detect_box    = gr.Textbox(label="Detection prompt", value="person, chair", visible=False)
            promptbox     = gr.Textbox(label="Generation prompt", value="furniture", lines=2)
            run_btn       = gr.Button("Generate", variant="primary")

            with gr.Accordion("Advanced Settings", open=False):
                bgprompt = gr.Textbox(label="Background Prompt", value="Scandinavian living room …")
                bg_btn   = gr.Button("Generate BG")

        with gr.Column(scale=2):
            gallery = gr.Gallery(columns=[1], rows=[1], object_fit="contain", height="auto")
            bg_img  = gr.Image(label="Background", visible=False)

    gr.Examples(
        examples=[
            ["examples/subject1.png", "examples/bg1.png", "Make the toy sit on a marble table", "examples/out1.png"],
            ["examples/subject2.png", "examples/bg2.png", "Turn the flowers into sunflowers", "examples/out2.png"],
            ["examples/subject3.png", "examples/bg3.png", "Make this monster ride a skateboard on the beach", "examples/out3.png"],
            ["examples/subject4.png", "examples/bg4.png", "Make this cat happy", "examples/out4.png"],
        ],
        inputs=[subj_img, ref_img, promptbox],
        outputs=[gallery],
        fn=process_image_and_text,
        examples_per_page="all",
        label="Presets (Input · Background · Prompt · Output)",
        cache_examples="lazy"
    )

    run_btn.click(
        process_image_and_text,
        inputs=[subj_img, ref_img, promptbox, use_detect_ck, detect_box],
        outputs=[gallery, raw_state]
    )

    bg_btn.click(_gen_bg, inputs=[bgprompt], outputs=[bg_img])
    use_detect_ck.change(lambda v: gr.update(visible=v), inputs=use_detect_ck, outputs=detect_box)

# ────────── Launch ──────────
demo.launch(show_api=False, share=True)