app.py

import gradio as gr
from PIL import Image
import os
import random

# ========== 配置图片路径 ==========
ENHANCE_INPUT_DIR = "sr_input"
ENHANCE_OUTPUT_DIR = "sr_output"
ENHANCE_IMG_NAMES = [f"img_{i}.jpg" for i in range(1, 30)]
ENHANCE_CHOICES = ["请选择样例图片或者上传"] + ENHANCE_IMG_NAMES
ENHANCE_DEFAULT = ENHANCE_IMG_NAMES[0]

SEG_INPUT_DIR = "seg_input"
SEG_OUTPUT_DIR = "seg_output"
SEG_IMG_NAMES = [f"img_{i}.png" for i in range(1, 30)]
SEG_CHOICES = ["请选择样例图片或者上传"] + SEG_IMG_NAMES
SEG_DEFAULT = SEG_IMG_NAMES[0]

DIAG_INPUT_DIR = "diag_input"
DIAG_IMG_NAMES = [f"img_{i}.jpg" for i in range(1, 32)]
DIAG_CHOICES = ["请选择样例图片或者上传"] + DIAG_IMG_NAMES
DIAG_DEFAULT = DIAG_IMG_NAMES[0]

KVASIR_CLASSES = [
    "正常粘膜 (normal-z-line)",
    "食管静脉曲张 (esophagitis)",
    "正常盲肠 (normal-cecum)",
    "息肉 (polyps)",
    "溃疡 (ulcerative-colitis)",
    "糜烂 (dyed-lifted-polyps)",
    "出血 (dyed-resection-margins)",
    "正常幽门 (normal-pylorus)"
]

SUGGESTION_DICT = {
    "正常粘膜 (normal-z-line)": "建议：无需特殊治疗，常规随访。",
    "食管静脉曲张 (esophagitis)": "建议：根据分级考虑内镜下治疗或药物治疗。",
    "正常盲肠 (normal-cecum)": "建议：无需特殊治疗，常规随访。",
    "息肉 (polyps)": "建议：考虑内镜下息肉切除，并随访。",
    "溃疡 (ulcerative-colitis)": "建议：药物治疗，必要时内镜下活检。",
    "糜烂 (dyed-lifted-polyps)": "建议：药物保护胃黏膜，可考虑内镜下进一步处理。",
    "出血 (dyed-resection-margins)": "建议：内镜下止血处理，密切观察。",
    "正常幽门 (normal-pylorus)": "建议：无需特殊治疗，常规随访。"
}

def open_img(img_path):
    if not os.path.exists(img_path):
        img = Image.new("RGB", (300, 300), (200, 200, 200))
    else:
        img = Image.open(img_path)
    w, h = img.size
    if w != 300 or h != 300:
        img = img.resize((300, 300), Image.LANCZOS)
    return img

def show_enhance_input(img_name):
    if img_name in (None, "", "请选择样例图片或者上传"):
        return None
    path = os.path.join(ENHANCE_INPUT_DIR, img_name)
    return open_img(path)

def enhance_demo(img_name):
    if img_name in (None, "", "请选择样例图片或者上传"):
        return None
    path = os.path.join(ENHANCE_OUTPUT_DIR, img_name)
    return open_img(path)

def show_seg_input(img_name):
    if img_name in (None, "", "请选择样例图片或者上传"):
        return None
    path = os.path.join(SEG_INPUT_DIR, img_name)
    return open_img(path)

def segment_demo(img_name):
    if img_name in (None, "", "请选择样例图片或者上传"):
        return None
    path = os.path.join(SEG_OUTPUT_DIR, img_name)
    return open_img(path)

def show_diag_input(img_name):
    if img_name in (None, "", "请选择样例图片或者上传"):
        return None
    path = os.path.join(DIAG_INPUT_DIR, img_name)
    return open_img(path)

def diagnose_demo(img_name):
    if img_name in (None, "", "请选择样例图片或者上传"):
        return [], "", ""
    idx = int(os.path.splitext(img_name)[0].replace("img_", ""))
    idx2cat = [
        (range(1, 5), "糜烂 (dyed-lifted-polyps)"),
        (range(5, 9), "出血 (dyed-resection-margins)"),
        (range(9, 13), "食管静脉曲张 (esophagitis)"),
        (range(13, 17), "正常盲肠 (normal-cecum)"),
        (range(17, 21), "正常幽门 (normal-pylorus)"),
        (range(21, 25), "正常粘膜 (normal-z-line)"),
        (range(25, 29), "息肉 (polyps)"),
        (range(29, 33), "溃疡 (ulcerative-colitis)")
    ]
    main_cat = None
    for r, cat in idx2cat:
        if idx in r:
            main_cat = cat
            break
    if main_cat is None:
        main_cat = random.choice(KVASIR_CLASSES)
    n_cat = len(KVASIR_CLASSES)
    probs = [0.0 for _ in range(n_cat)]
    main_idx = KVASIR_CLASSES.index(main_cat)
    main_prob = random.uniform(0.85, 0.99)
    rest = 1 - main_prob
    other_probs_raw = [random.uniform(0.01, 1) for _ in range(n_cat-1)]
    other_probs_norm = [x / sum(other_probs_raw) * rest for x in other_probs_raw]
    pidx = 0
    for i in range(n_cat):
        if i == main_idx:
            probs[i] = main_prob
        else:
            probs[i] = other_probs_norm[pidx]
            pidx += 1
    result_table = [[KVASIR_CLASSES[i], f"{probs[i]:.4f}"] for i in range(n_cat)]
    result_text = f"诊断类别：{main_cat}（概率最大）"
    suggestion = SUGGESTION_DICT.get(main_cat, "建议：请咨询医生。")
    return result_table, result_text, suggestion

css = """
#main-title {
    text-align: center;
    font-size: 44px;
    font-weight: bold;
    margin-bottom: 18px;
    margin-top: 18px;
    letter-spacing: 2px;
}

.blue-dash-border {
    border: 2.5px dashed #164fa0 !important;
    border-radius: 22px !important;
    padding: 0 !important;
    margin-bottom: 16px !important;
    box-sizing: border-box;
}

.big-group {
    background: #fff !important;
    border: 2px solid #e0e2e5 !important;
    border-radius: 18px !important;
    padding: 28px 18px 24px 18px !important;
    margin: 16px !important;
    box-shadow: 0 3px 12px 2px rgba(60,64,67,.14);
}

.big-title {
    font-size: 28px;
    font-weight: bold;
    margin-bottom: 18px;
    color: #343434;
    letter-spacing: 1px;
    text-align: center;
}

/* ===== 按钮公共属性合并 ===== */
.orange-btn,
.orange-btn-diag {
    background: #A7C0DE !important;
    color: #111 !important;
    font-size: 32px;
    font-weight: bold;
    border: none #5900c2 !important;
    border-radius: 16px !important;
    padding: 12px 20px !important;
    width: auto !important;
}

.gray-btn,
.gray-btn-diag {
    background: #f2f2f2 !important;
    color: #111 !important;
    font-size: 32px;
    font-weight: bold;
    border: 3px dashed #6c91c2 !important;
    border-radius: 16px !important;
    padding: 12px 20px !important;
    width: auto !important;
}

/* ===== 不同之处仅在于左右 margin ===== */
.orange-btn {
    margin-left: 48px !important;
    margin-right: 48px !important;
}

.gray-btn {
    margin-left: 48px !important;
    margin-right: 48px !important;
}

/* ====== 诊断模块按钮独立CSS ====== */
.orange-btn-diag {
    margin-left: 24px !important;
    margin-right: 24px !important;
}

.gray-btn-diag {
    margin-left: 24px !important;
    margin-right: 24px !important;
}

.button-row {
    margin-top: 8px;
}

.image-label-container,
.image-label-container * {
    margin: 0 !important;
    padding: 0 !important;
    line-height: 0 !important;
    font-size: 0 !important;
    border-spacing: 0 !important;
    box-sizing: border-box !important;
}

.image-label-container {
    width: 300px !important;
    margin-left: auto !important;
    margin-right: auto !important;
    display: flex !important;
    flex-direction: column !important;
    align-items: center !important;
    justify-content: center !important;
    position: relative;
    text-align: center !important;
    padding: 0 !important;
    border: none !important;
}

.image-label-container .gr-image,
.image-label-container .gr-image-preview {
    width: 300px !important;
    height: 300px !important;
    min-width: 300px !important;
    min-height: 300px !important;
    max-width: 300px !important;
    max-height: 300px !important;
    display: flex !important;
    align-items: center !important;
    justify-content: center !important;
    background: #fff !important;
    border-radius: 10px 10px 0 0 !important;
    box-shadow: 0 2px 12px 0 rgba(60,64,67,.08);
}

.image-label-container img {
    display: block !important;
    vertical-align: bottom !important;
    width: 300px !important;
    height: 300px !important;
    margin: 0 auto !important;
    padding: 0 !important;
    border-radius: 10px 10px 0 0 !important;
    background: #fff !important;
    box-shadow: 0 2px 12px 0 rgba(60,64,67,.08);
}

.image-label-container .img-label-bar {
    margin: 0 !important;
    padding-top: 0 !important;
    padding-bottom: 0 !important;
    line-height: normal !important;
    font-size: 22px !important;
    width: 300px !important;
    text-align: center !important;
    background: rgb(17, 26, 110);
    color: #fff;
    border-bottom-left-radius: 10px;
    border-bottom-right-radius: 10px;
    font-weight: normal;
    box-sizing: border-box;
    align-self: center !important;
}

.gradio-container label, 
.gradio-container .gr-input-label, 
.gradio-container .block-label {
    font-size: 36px !important;
    font-weight: 500 !important;
    color: #222 !important;
    letter-spacing: 0.5px;
}

.gradio-container select, 
.gradio-container option,
.gradio-container input[type="text"] {
    font-size: 22px !important;
}

.gradio-container .gr-dataframe,
.gradio-container .gr-dataframe table,
.gradio-container .gr-dataframe table th,
.gradio-container .gr-dataframe table td {
    font-size: 28px !important;
}

.gradio-container .gr-dataframe .block-label,
.gradio-container .gr-dataframe label {
    font-size: 28px !important;
    font-weight: 600 !important;
}

.gradio-container .gr-textbox,
.gradio-container .gr-textbox textarea,
.gradio-container .gr-textbox .block-label,
.gradio-container .gr-textbox label {
    font-size: 28px !important;
}
"""

def reset_enhance():
    return "请选择样例图片或者上传", None, None

def reset_seg():
    return "请选择样例图片或者上传", None, None

def reset_diag():
    return "请选择样例图片或者上传", None, [], "", ""

with gr.Blocks(title="消化道疾病智能分析系统") as demo:
    gr.HTML(f"<style>{css}</style>")
    gr.HTML("<div id='main-title'>消化道疾病智能分析系统</div>")

    # ============ 第一行：增强 & 分割 ============
    with gr.Row():
        # ---------- 图像增强 ----------
        with gr.Column():
            with gr.Group(elem_classes="blue-dash-border"):
                with gr.Group(elem_classes="big-group"):
                    gr.HTML("<div class='big-title'>图像增强模块</div>")
                    enhance_select = gr.Dropdown(
                        choices=ENHANCE_CHOICES,
                        value=ENHANCE_DEFAULT,
                        label="请选择样例图片或者上传",
                        filterable=True
                    )
                    with gr.Row():
                        with gr.Column():
                            with gr.Group(elem_classes="image-label-container"):
                                enhance_input_img = gr.Image(
                                    show_label=False, interactive=False, 
                                    width=300, height=300
                                )
                                gr.HTML("<div class='img-label-bar'>原始图片</div>")
                        with gr.Column():
                            with gr.Group(elem_classes="image-label-container"):
                                enhance_output_img = gr.Image(
                                    show_label=False, interactive=False,
                                    width=300, height=300
                                )
                                gr.HTML("<div class='img-label-bar'>增强结果图片</div>")

                    with gr.Row(elem_classes="button-row"):
                        enhance_reset_btn = gr.Button("清空", elem_classes="gray-btn")
                        enhance_btn = gr.Button("点击执行图片增强", elem_classes="orange-btn")

                    enhance_select.change(
                        fn=show_enhance_input, 
                        inputs=enhance_select, 
                        outputs=enhance_input_img
                    )
                    enhance_btn.click(
                        fn=enhance_demo, 
                        inputs=enhance_select, 
                        outputs=enhance_output_img
                    )
                    enhance_reset_btn.click(
                        fn=reset_enhance, 
                        inputs=None, 
                        outputs=[enhance_select, enhance_input_img, enhance_output_img]
                    )

        # ---------- 图像分割 ----------
        with gr.Column():
            with gr.Group(elem_classes="blue-dash-border"):
                with gr.Group(elem_classes="big-group"):
                    gr.HTML("<div class='big-title'>图像分割模块</div>")
                    seg_select = gr.Dropdown(
                        choices=SEG_CHOICES, 
                        value=SEG_DEFAULT, 
                        label="请选择样例图片或者上传", 
                        filterable=True
                    )
                    with gr.Row():
                        with gr.Column():
                            with gr.Group(elem_classes="image-label-container"):
                                seg_input_img = gr.Image(
                                    show_label=False, interactive=False, 
                                    width=300, height=300
                                )
                                gr.HTML("<div class='img-label-bar'>输入图片</div>")
                        with gr.Column():
                            with gr.Group(elem_classes="image-label-container"):
                                seg_output_img = gr.Image(
                                    show_label=False, interactive=False,
                                    width=300, height=300
                                )
                                gr.HTML("<div class='img-label-bar'>分割结果图片</div>")

                    with gr.Row(elem_classes="button-row"):
                        seg_reset_btn = gr.Button("清空", elem_classes="gray-btn")
                        seg_btn = gr.Button("点击执行分割", elem_classes="orange-btn")

                    seg_select.change(fn=show_seg_input, inputs=seg_select, outputs=seg_input_img)
                    seg_btn.click(fn=segment_demo, inputs=seg_select, outputs=seg_output_img)
                    seg_reset_btn.click(fn=reset_seg, inputs=None, outputs=[seg_select, seg_input_img, seg_output_img])

    # ============ 第二行：疾病诊断 ============
    with gr.Row():
        with gr.Group(elem_classes="blue-dash-border"):
            with gr.Group(elem_classes="big-group"):
                gr.HTML("<div class='big-title'>疾病分类模块</div>")
                with gr.Row():
                    # ---------- 左列：输入图片 + 按钮 ----------
                    with gr.Column():
                        diag_select = gr.Dropdown(
                            choices=DIAG_CHOICES, 
                            value=DIAG_DEFAULT, 
                            label="请选择样例图片或者上传", 
                            filterable=True
                        )
                        with gr.Column():
                            with gr.Group(elem_classes="image-label-container"):
                                diag_input_img = gr.Image(
                                    show_label=False, interactive=False, 
                                    width=300, height=300
                                )
                                gr.HTML("<div class='img-label-bar'>输入图片</div>")
                        with gr.Row(elem_classes="button-row"):
                            # === 这里用新class名 ===
                            diag_reset_btn = gr.Button("清空", elem_classes="gray-btn-diag")
                            diag_btn = gr.Button("点击执行诊断", elem_classes="orange-btn-diag")

                        diag_select.change(fn=show_diag_input, inputs=diag_select, outputs=diag_input_img)

                    # ---------- 中列：结果表格（新增label） ----------
                    with gr.Column():
                        diag_table = gr.Dataframe(
                            headers=["诊断类别", "模型预测概率"]
                        )

                    # ---------- 右列：诊断结果 & 建议 ----------
                    with gr.Column():
                        diag_result = gr.Textbox(label="诊断结果")
                        diag_suggestion = gr.Textbox(label="建议的治疗方案")

                diag_btn.click(
                    fn=diagnose_demo, 
                    inputs=diag_select, 
                    outputs=[diag_table, diag_result, diag_suggestion]
                )
                diag_reset_btn.click(
                    fn=reset_diag, 
                    inputs=None, 
                    outputs=[diag_select, diag_input_img, diag_table, diag_result, diag_suggestion]
                )

    # ====== 页面加载时自动显示默认结果 ======
    demo.load(fn=show_enhance_input, inputs=gr.State(ENHANCE_DEFAULT), outputs=enhance_input_img)
    demo.load(fn=enhance_demo, inputs=gr.State(ENHANCE_DEFAULT), outputs=enhance_output_img)
    demo.load(fn=show_seg_input, inputs=gr.State(SEG_DEFAULT), outputs=seg_input_img)
    demo.load(fn=segment_demo, inputs=gr.State(SEG_DEFAULT), outputs=seg_output_img)
    demo.load(fn=show_diag_input, inputs=gr.State(DIAG_DEFAULT), outputs=diag_input_img)
    demo.load(fn=diagnose_demo, inputs=gr.State(DIAG_DEFAULT), outputs=[diag_table, diag_result, diag_suggestion])

demo.launch()