import random
def generate_virtual_environment(theme):
    environments = {
        "森林": ["茂密的樹木", "溪水潺潺", "鳥兒鳴叫"],
        "城市": ["高樓大廈", "繁忙的街道", "霓虹燈光"],
        "海灘": ["金色沙灘", "溫暖的陽光", "碧藍的海水"],
        "宇宙": ["星星閃爍", "行星環(huán)繞", "浩瀚的星云"]
    }
    return random.choice(environments.get(theme, ["未知環(huán)境"]))
theme = "海灘"
environment = generate_virtual_environment(theme)
print(f"生成的虛擬環(huán)境: {environment}")

from transformers import GPT2LMHeadModel, GPT2Tokenizer
# 初始化模型和分詞器
tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
model = GPT2LMHeadModel.from_pretrained('gpt2')
def generate_dialogue(prompt):
    input_ids = tokenizer.encode(prompt, return_tensors='pt')
    output = model.generate(input_ids, max_length=100)
    return tokenizer.decode(output[0], skip_special_tokens=True)
prompt_text = "在海灘上，角色A問角色B：今天的天氣怎么樣？"
dialogue = generate_dialogue(prompt_text)
print(f"生成的對話: {dialogue}")

def generate_response(user_input):
    responses = {
        "你好": "你好！歡迎來到這個虛擬世界。",
        "今天天氣怎樣？": "今天天氣晴朗，非常適合出游！",
        "你能幫我嗎？": "當然可以！請告訴我你的需求。"
    }
    return responses.get(user_input, "抱歉，我不明白你說的話。")
user_input = "你好"
response = generate_response(user_input)
print(f"角色的響應(yīng): {response}")

def create_education_vr_scene(topic):
    scenes = {
        "古埃及": "你現(xiàn)在身處金字塔旁，周圍有古埃及的建筑和角色。",
        "中世紀": "你在一個中世紀城堡的庭院中，聽到騎士的談話。",
        "太空": "你在宇宙飛船內(nèi)，透過窗戶看到星空。"
    }
    return scenes.get(topic, "未找到該主題的場景。")
education_topic = "古埃及"
education_scene = create_education_vr_scene(education_topic)
print(f"生成的教育VR場景: {education_scene}")

def generate_game_event():
    events = [
        "怪物出現(xiàn)！",
        "找到一件神秘的寶物！",
        "玩家達成了新的成就！"
    ]
    return random.choice(events)
game_event = generate_game_event()
print(f"生成的游戲事件: {game_event}")

def simulate_therapy_scenario(fear):
    scenarios = {
        "高空": "你站在高樓的陽臺上，俯視下面的街道。",
        "公眾演講": "你站在一個大型觀眾面前，準備進行演講。",
        "社交場合": "你在一個派對上，周圍都是陌生人。"
    }
    return scenarios.get(fear, "未找到適合該恐懼的場景。")
fear = "高空"
therapy_scenario = simulate_therapy_scenario(fear)
print(f"生成的心理治療場景: {therapy_scenario}")

def generate_virtual_tour(location):
    tours = {
        "巴黎": "游覽埃菲爾鐵塔，欣賞塞納河的美景。",
        "紐約": "探索中央公園和時代廣場的繁華。",
        "東京": "體驗秋葉原的現(xiàn)代與傳統(tǒng)文化。"
    }
    return tours.get(location, "未找到該位置的虛擬旅游。")
tour_location = "巴黎"
virtual_tour = generate_virtual_tour(tour_location)
print(f"生成的虛擬旅游場景: {virtual_tour}")

def ar_experience(object):
    ar_objects = {
        "恐龍": "一只巨大的恐龍在你的面前走動。",
        "宇航員": "一個宇航員正在你的客廳中進行太空行走。",
        "飛碟": "一個飛碟在空中盤旋，向你發(fā)出信號。"
    }
    return ar_objects.get(object, "未找到該AR對象。")
ar_object = "恐龍"
ar_scene = ar_experience(ar_object)
print(f"增強現(xiàn)實體驗: {ar_scene}")

def collect_user_feedback(user_experience):
    feedback = {
        "滿意": "謝謝你的反饋，我們會繼續(xù)改進。",
        "一般": "我們會考慮你的建議，努力做得更好。",
        "不滿意": "抱歉讓你失望了，我們會認真對待你的意見。"
    }
    return feedback.get(user_experience, "反饋已記錄。")
user_experience = "一般"
feedback_response = collect_user_feedback(user_experience)
print(f"用戶反饋回應(yīng): {feedback_response}")

def collaborate_with_ai(base_content):
    # 假設(shè)AI生成的基礎(chǔ)內(nèi)容
    ai_generated_content = f"{base_content}，并添加了更多細節(jié)和情節(jié)發(fā)展。"
    return ai_generated_content
base_content = "故事的開頭是一個勇敢的騎士"
final_content = collaborate_with_ai(base_content)
print(f"合作生成的內(nèi)容: {final_content}")