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 from quiz import generate_fill_in_blank_exam, check_exam def process_sentence(mode, word, source, num, use_ai, model_name): try: if mode == '查詢單字': if not word: return "

❌ 請輸入單字

", "未輸入單字" words = [word.strip()] elif mode == '隨機抽單字': num = int(num) if num <= 0: return "

❌ 抽取數量須大於0

", "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 "

❌ 模式錯誤

", "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"

❌ 發生錯誤:{str(e)}

", 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", 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.Slider(minimum=1, maximum=10, value=5, step=1, label="抽取單字數量") 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="⚠️ 使用 AI 生成句子為功能測試,每一個單字的生成過程可能需要 30 秒以上,請耐心等待。", visible=False, interactive=False, label="" ) result_output = gr.HTML(label="結果") status_output = gr.Textbox(label="處理狀態", interactive=False) with gr.Row(): generate_button = gr.Button("✨ 生成句子", elem_id="generate-button") gr.HTML("") def switch_mode(mode): return gr.update(visible=(mode == '查詢單字')), gr.update(visible=(mode == '隨機抽單字')) def toggle_ai_button(use_ai): return gr.update(visible=use_ai), gr.update(visible=use_ai) mode_radio.change(switch_mode, inputs=[mode_radio], outputs=[word_input, num_input]) 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()