import gradio as gr
import random
from vocab import get_sources, get_words_from_source
from sentences import generate_sentences
from ai_sentence import MODEL_LIST

def process_sentence(mode, word, source, num, use_ai, model_name):
    try:
        if mode == '查詢單字':
            if not word:
                return "<p style='color:red;'>❌ 請輸入單字</p>", "未輸入單字"
            words = [word.strip()]
        elif mode == '隨機抽單字':
            num = int(num)
            if num <= 0:
                return "<p style='color:red;'>❌ 抽取數量須大於0</p>", "數量錯誤"
            words_data = get_words_from_source(source)
            words = [w['word'] for w in words_data]
            words = random.sample(words, num)
        else:
            return "<p style='color:red;'>❌ 模式錯誤</p>", "模式選擇異常"

        result_display, status_log = generate_sentences(words, source, use_ai, model_name)

        return result_display, status_log

    except Exception as e:
        return f"<p style='color:red;'>❌ 發生錯誤：{str(e)}</p>", f"錯誤：{str(e)}"

def project_description():
    return """
    # 📖 VocabLine 單字例句工具
    支援單字例句查詢，AI 自動生成句子。適合作為 LINE 單字推播、英文學習輔助工具。

    ## 🔍 核心功能
    - 查詢單字 → 獲取例句
    - 抽取單字 → 批量獲取例句
    - 可選 AI 生成句子（模型：GPT2 / Pythia）

    ## 🧑‍💻 技術架構
    - Gradio Blocks + Transformers (Hugging Face)
    - SQLite 句庫管理
    - 支援多單字庫擴展

    ## 📚 資料來源
    - 常用 3000 單字表
    - 英文例句資料庫 (Tatoeba)

    ## 👨‍💻 開發資訊
    - 開發者：余彦志 (大宇 ian)
    - 信箱：dayuian@hotmail.com
    - GitHub：[https://github.com/dayuian](https://github.com/dayuian)
    """

with gr.Blocks(css="""
    #card-group { padding: 15px; border-radius: 12px; background-color: rgba(255, 255, 255, 0.05); box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); margin-bottom: 15px; }
    .gradio-container { max-width: 800px; margin: auto; }
""") as demo:
    gr.Markdown(project_description())

    with gr.Group():
        with gr.Row():
            mode_radio = gr.Radio(
                ["查詢單字", "隨機抽單字"],
                label="選擇模式",
                choices=["查詢單字", "隨機抽單字"],
                value="查詢單字",
                interactive=True
            )

        with gr.Group(elem_id="card-group"):
            word_input = gr.Textbox(label="輸入單字", visible=True)
            num_input = gr.Number(label="抽取單字數量", value=5, visible=False)
            source_dropdown = gr.Dropdown(
                choices=get_sources(),
                value="common3000",
                label="選擇單字庫"
            )

    with gr.Group(elem_id="card-group"):
        use_ai_checkbox = gr.Checkbox(label="使用 AI 生成句子（較慢，約 30 秒）", elem_id="use-ai-checkbox")

        with gr.Row():
            model_dropdown = gr.Dropdown(
            choices=MODEL_LIST,
            value="gpt2",
            label="選擇 AI 模型",
            visible=False
            )
        gr.Markdown("🔷 **建議使用 GPT2（表現較佳），Pythia-410m 很爛慎選！**", visible=False)

    ai_warning = gr.Textbox(
        value="⚠️ 若使用 AI 生成句子，生成過程可能需要 30 秒以上，請耐心等待。",
        visible=False,
        interactive=False,
        label=""
        )

    generate_button = gr.Button("✨ 生成句子", elem_id="generate-button")

    result_output = gr.HTML(label="結果")
    status_output = gr.Textbox(label="處理狀態", interactive=False)

    def switch_mode(mode):
        if mode == '查詢單字':
            return gr.update(visible=True), gr.update(visible=False)
        else:
            return gr.update(visible=False), gr.update(visible=True)

    mode_radio.change(
        switch_mode,
        inputs=[mode_radio],
        outputs=[word_input, num_input]
    )

    def toggle_ai_button(use_ai):
        model_visibility = gr.update(visible=use_ai)
        warning_visibility = gr.update(visible=use_ai)
        return model_visibility, warning_visibility

    use_ai_checkbox.change(
        toggle_ai_button,
        inputs=[use_ai_checkbox],
        outputs=[model_dropdown, ai_warning]
    )

    generate_button.click(
        process_sentence,
        inputs=[mode_radio, word_input, source_dropdown, num_input, use_ai_checkbox, model_dropdown],
        outputs=[result_output, status_output]
    )

demo.launch()