app.py

import gradio as gr
import os
import shutil
import tempfile

from openai import OpenAI

from storage_service import GoogleCloudStorage
from google.oauth2.service_account import Credentials
import vertexai
from vertexai.generative_models import GenerativeModel, Part

def mock_question_answer(question, history):
    # 假資料模擬回答
    answers = {
        "文件的核心觀點是什麼？": "這份文件的核心觀點是關於人工智慧如何提升工作效率。",
        "有哪些關鍵詞或數據？": "關鍵詞包括：人工智慧、工作效率、數據分析。",
        "文件的摘要是什麼？": "這份文件討論了如何利用人工智慧工具，提升企業的運營效率和決策速度。"
    }
    response = answers.get(question, "抱歉，我無法回答這個問題。請嘗試其他問題！")
    history.append({"role": "user", "content": question})
    history.append({"role": "assistant", "content": response})
    return history, ""

def mock_summary():
    # 假資料模擬摘要
    return "這份文件主要討論人工智慧在工作效率提升方面的應用，並提供了實際案例來說明其價值。"

def add_to_file_list(file, file_list):
    if file:
        temp_dir = tempfile.gettempdir()
        temp_path = os.path.join(temp_dir, os.path.basename(file.name))
        shutil.copy(file.name, temp_path)  # 將文件存儲到臨時目錄
        file_list.append(temp_path)
    display_list = [os.path.basename(path) for path in file_list]
    return gr.update(choices=display_list), None  # 清空文件選擇框

def process_selected_files(selected_files, file_list):
    selected_paths = [path for path in file_list if os.path.basename(path) in selected_files]
    # 假資料模擬處理 RAG
    return f"已處理的文件: {', '.join(selected_paths)}"

def toggle_visibility(toggle_value):
    return gr.update(visible=toggle_value)

def get_youtube_playlist():
    # 假資料模擬 YouTube 播放清單
    return [
        {"id": "yPmgHBRUdns", "title": "【觀念】比與比值"},
        {"id": "CgLdZpnr_h8", "title": "【觀念】相等的比"},
        {"id": "-7HVxER-rb0", "title": "【觀念】比例式的運算性質"},
    ]

def format_youtube_choices(youtube_data):
    return [f"{item['id']} - {item['title']}" for item in youtube_data]

def process_selected_videos(selected_videos):
    # 假資料模擬處理選擇的影片
    return f"已選擇的影片: {', '.join(selected_videos)}"

def add_youtube_to_list(youtube_link, file_list):
  if youtube_link:
    file_list.append(youtube_link)
    display_list = [os.path.basename(path) if os.path.basename(path) else path for path in file_list]
  return gr.update(choices=display_list), ""

def process_all_files(file_list):
  return f"已處理的文件: {', '.join(file_list)}"

with gr.Blocks() as demo:
    gr.Markdown("# AI Notes Assistant")

    with gr.Row():
        source_toggle = gr.Checkbox(label="顯示來源選單", value=True)
        chat_toggle = gr.Checkbox(label="顯示對話區域", value=True)
        feature_toggle = gr.Checkbox(label="顯示功能卡片", value=True)

    with gr.Row():
        with gr.Column(visible=True) as source_column:
            gr.Markdown("### 來源選單")
            
            file_list = gr.State([])
            
            with gr.Tab("上傳檔案"):
                upload_file = gr.File(label="從電腦添加文件", file_types=[".txt", ".pdf", ".docx"])
                add_file_button = gr.Button("添加到來源列表")
                add_file_button.click(add_to_file_list, inputs=[upload_file, file_list], outputs=[file_list, upload_file])
        
            with gr.Tab("YouTube 連結"):
                youtube_link = gr.Textbox(label="輸入 YouTube 連結")
                add_youtube_button = gr.Button("添加到來源列表")
                add_youtube_button.click(add_youtube_to_list, inputs=[youtube_link, file_list], outputs=[file_list, youtube_link])

            file_display = gr.CheckboxGroup(label="已上傳的文件", interactive=True)

            process_files_button = gr.Button("處理檔案")
            rag_result = gr.Textbox(label="處理結果", interactive=False)

            process_files_button.click(process_all_files, inputs=[file_list], outputs=[rag_result])
            file_list.change(lambda x: gr.update(choices = [os.path.basename(path) if os.path.basename(path) else path for path in x]), inputs=file_list, outputs=file_display)

        with gr.Column(visible=True) as chat_column:
            gr.Markdown("### 對話區域")
            chatbot = gr.Chatbot(label="聊天記錄", type="messages")
            question = gr.Textbox(label="輸入問題，例如：文件的核心觀點是什麼？")
            ask_button = gr.Button("提問")

        with gr.Column(visible=True) as feature_column:
            gr.Markdown("### 功能卡片")
            with gr.Tab("摘要生成"):
                summary_button = gr.Button("生成摘要")
                summary = gr.Textbox(label="摘要", interactive=False)
            with gr.Tab("其他功能"):
                gr.Markdown("此處可以添加更多功能卡片")

    source_toggle.change(toggle_visibility, inputs=source_toggle, outputs=source_column)
    chat_toggle.change(toggle_visibility, inputs=chat_toggle, outputs=chat_column)
    feature_toggle.change(toggle_visibility, inputs=feature_toggle, outputs=feature_column)

    history = gr.State([])
    ask_button.click(mock_question_answer, inputs=[question, history], outputs=[chatbot, chatbot])
    summary_button.click(mock_summary, inputs=[], outputs=[summary])

demo.launch()