app.py

import gradio as gr
import requests

prefix = "https://smartfeed-custom-tools.hf.space/gradio_api/file="

extract_model_tag_list = [
    "o3",
    "o3(poe)",
    "gpt-5",
    "o4-mini(openrouter)",
    "o4-mini-high(openrouter)",
]

extract_model_map = {
    "o3": "o3-2025-04-16",
    "o3(poe)": "o3(poe)",
    "gpt-5": "gpt-5-2025-08-07",
    "o4-mini(openrouter)": "openai/o4-mini",
    "o4-mini-high(openrouter)": "openai/o4-mini-high",
}


def change_image_style(
    image_url,
    style_image_url,
    edit_prompt,
    extract_model_tag,
    extract_prompt,
    prompt_prefix
):
    extract_model = extract_model_map.get(extract_model_tag, "o3")

    data = {
        "image_url": image_url,
        "style_image_url": style_image_url,
        "extract_model": extract_model,
        "extract_prompt": extract_prompt,
        "prompt_prefix": prompt_prefix
    }

    response = requests.post(
        "https://api.hkhappymobile.com/tools/change-image-style",
        json=data,
        headers={"content-type": "application/json"}
    )

    if response.status_code == 200:
        data = response.json().get("data")
        resultImageUrl = data.get("image_url")
        edit_prompt = data.get("edit_prompt")
        # replace \n to <br>
        edit_prompt = edit_prompt.replace("\n", "<br>")
        return resultImageUrl, edit_prompt, ""
    else:
        error_msg = f"Error: {response.status_code} - {response.text}"
        return "", "", error_msg

def generate_image(
    input_image,
    style_images,
    prompt_count: int,
    image_count: int,
    extract_model,
    extract_prompt,
    prompt_prefix
):

    if not input_image:
        raise gr.Error(f"Please upload an input image! Refer to step 1️⃣")

    if style_images is None:
        raise gr.Error(f"Cannot find any style image! Please refer to step 1️⃣")
    
    style_size = len(style_images)
    if style_size < 1:
        raise gr.Error(f"Please upload at least one style image! Refer to step 1️⃣")
    
    total_count = style_size * prompt_count * image_count
    completed_count = 0
    success_count = 0
    error_count = 0

    inputImageUrl = prefix + input_image

    result_image_list = []
    error_list = []
    markdownStr = ""

    for style_index in range(style_size):
        style_image = style_images[style_index]
        if not style_image:
            error_list.append(f"Style image {style_index + 1} is empty.")
            continue

        for prompt_index in range(prompt_count):
            edit_prompt = ""
            for image_index in range(image_count):
                completed_count += 1
                styleImageUrl = prefix + style_image[0]
                result_image, edit_prompt, error_msg = change_image_style(
                    inputImageUrl, styleImageUrl, edit_prompt, extract_model, extract_prompt, prompt_prefix
                )

                if result_image:
                    success_count += 1
                    result_image_list.append(result_image)
                    markdownStr += f"{edit_prompt} <img src='{result_image}' style='zoom: 33%;' />\n"
                else:
                    error_count += 1
                    error_list.append(f"Error processing style image {style_index + 1}, prompt {prompt_index + 1}, image {image_index + 1}: {error_msg}")

                status = "processing" if completed_count < total_count else "completed"
                status_message = f"Status: {status} ({completed_count}/{total_count}) success: {success_count}, error: {error_count}"
                yield status_message, error_list, result_image_list, markdownStr


def swap_to_gallery(images):
    return gr.update(value=images, visible=True), gr.update(visible=True), gr.update(visible=False)

def remove_back_to_files():
    return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)

with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():

            files = gr.File(
                        label="Drag (Select) 1 or more style images",
                        file_types=["image"],
                        file_count="multiple"
                    )
            uploaded_files = gr.Gallery(label="Your images", visible=False, columns=5, rows=1, height=200)
            with gr.Column(visible=False) as clear_button:
                remove_and_reupload = gr.ClearButton(value="Remove and upload new ones", components=files, size="sm")
            input_image = gr.Image(label="Input Image", type="filepath", interactive=True)
            with gr.Row():
                with gr.Column():
                    prompt_count = gr.Number(label="Prompt Count", value=4, precision=0)
                with gr.Column():
                    image_count = gr.Number(label="Image Count", value=3, precision=0)
            extract_model = gr.Dropdown(choices=extract_model_tag_list, label="Extract Model", value="o3")
            extract_prompt = gr.Textbox(lines=2, label="Extracted Prompt", value="Accurately extract everything from this photo into a prompt especially the hairstyle excluding the backgrounds. I want to replicate it perfectly. need to be a complete paragraph")
            prompt_prefix = gr.Textbox(lines=1, label="Prompt Prefix", value="change the backgrounds to match this:")

            submit = gr.Button("Submit")

        with gr.Column():
            status_text = gr.Textbox(label="Status", show_label=False, interactive=False)
            error_text = gr.Textbox(label="Error List", show_label=False, interactive=False)
            gallery = gr.Gallery(label="Generated Images")
            markdown = gr.Markdown(label="Generated Images")

        files.upload(fn=swap_to_gallery, inputs=files, outputs=[uploaded_files, clear_button, files])
        remove_and_reupload.click(fn=remove_back_to_files, outputs=[uploaded_files, clear_button, files])

        submit.click(
            fn=generate_image,
            inputs=[input_image, uploaded_files, prompt_count, image_count, extract_model, extract_prompt, prompt_prefix],
            outputs=[status_text, error_text, gallery, markdown]
        )

    
demo.launch()