import gradio as gr
import re
from pathlib import Path
from api import load_annoy_index, analyze_image

annoy_index, mappings = load_annoy_index()

def get_article_text():
    article = Path("README.md").read_text()
    # Remove the HuggingFace Space app information from the README
    article = re.sub(r"^---.+---\s+", "", article, flags=re.MULTILINE + re.DOTALL)
    return article

STYLE = """
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" integrity="sha256-YvdLHPgkqJ8DVUxjjnGVlMMJtNimJ6dYkowFFvp4kKs=" crossorigin="anonymous">
"""

def find_matching_images(input_img, n_matches: int = 10):
    
    results = analyze_image(input_img, annoy_index, n_matches=n_matches)
    

    indexes = results[0]
    scores = results[1]

    images = []

    HTML = ""

    for i in range(len(indexes)):
        index = str(indexes[i])

        mapping = mappings[index]

        url = mapping["url"]
        if url != "":
          images.append(url)

          score = round((1 - scores[i]) * 100, 1)

          HTML += f"""<div class="card mb-3">
                <div class="row g-0">
                    <div class="col-md-4 text-center">
                        <img style="max-height: 150px" src="{url}" alt="{mapping["name"]}">
                    </div>
                    <div class="col-md-8">
                        <div class="card-body">
                            <h5 class="card-title">{mapping["name"]}</h5>
                            <p class="card-text">Rank: {i+1}, Similarity: {score} %</p>
                            <p class="card-text">
                                <a target="_blank" href="https://kunshujo2022.dl.itc.u-tokyo.ac.jp/item/{mapping["nconst"]}">View at 「電子展示『捃拾帖』（拡張版）」</a>
                            </p>
                        </div>
                    </div>
                </div>
            </div>"""

    return f"""{STYLE} <div style="height: 600px; overflow-y: auto;">{HTML}</div>"""

iface = gr.Interface(
    find_matching_images,
    title="類似貼り込み資料検索",
    description="""類似する貼り込み資料を検索します。 Upload a picture and find out!
    Give it a shot or try one of the sample images below.
    
    Built with great open-source libraries such as PyTorch and Annoy.""",
    article=get_article_text(),
    inputs=[
        gr.inputs.Image(shape=None, label="Your image"),
        gr.inputs.Slider(minimum=1, maximum=30, step=1, default=10, label="Number of matches"),
    ],
    # outputs=gr.Gallery(label="類似する貼り込み資料").style(height="100px"),
    outputs=gr.HTML(label="類似する貼り込み資料"),
    examples=[
        ["images/025_0085.jpg", 10],
        ["images/046_0051.jpg", 10],
    ],
)

iface.launch()