AIGC与虚拟现实(VR)的结合与应用前景分析

import random
def generate_virtual_environment(theme):
    environments = {
        "森林": ["茂密的树木", "溪水潺潺", "鸟儿鸣叫"],
        "城市": ["高楼大厦", "繁忙的街道", "霓虹灯光"],
        "海滩": ["金色沙滩", "温暖的阳光", "碧蓝的海水"],
        "宇宙": ["星星闪烁", "行星环绕", "浩瀚的星云"]
    }
    return random.choice(environments.get(theme, ["未知环境"]))
theme = "海滩"
environment = generate_virtual_environment(theme)
print(f"生成的虚拟环境: {environment}")

from transformers import GPT2LMHeadModel, GPT2Tokenizer
# 初始化模型和分词器
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 = "在海滩上，角色A问角色B：今天的天气怎么样？"
dialogue = generate_dialogue(prompt_text)
print(f"生成的对话: {dialogue}")

def generate_response(user_input):
    responses = {
        "你好": "你好！欢迎来到这个虚拟世界。",
        "今天天气怎样？": "今天天气晴朗，非常适合出游！",
        "你能帮我吗？": "当然可以！请告诉我你的需求。"
    }
    return responses.get(user_input, "抱歉，我不明白你说的话。")
user_input = "你好"
response = generate_response(user_input)
print(f"角色的响应: {response}")

def create_education_vr_scene(topic):
    scenes = {
        "古埃及": "你现在身处金字塔旁，周围有古埃及的建筑和角色。",
        "中世纪": "你在一个中世纪城堡的庭院中，听到骑士的谈话。",
        "太空": "你在宇宙飞船内，透过窗户看到星空。"
    }
    return scenes.get(topic, "未找到该主题的场景。")
education_topic = "古埃及"
education_scene = create_education_vr_scene(education_topic)
print(f"生成的教育VR场景: {education_scene}")

def generate_game_event():
    events = [
        "怪物出现！",
        "找到一件神秘的宝物！",
        "玩家达成了新的成就！"
    ]
    return random.choice(events)
game_event = generate_game_event()
print(f"生成的游戏事件: {game_event}")

def simulate_therapy_scenario(fear):
    scenarios = {
        "高空": "你站在高楼的阳台上，俯视下面的街道。",
        "公众演讲": "你站在一个大型观众面前，准备进行演讲。",
        "社交场合": "你在一个派对上，周围都是陌生人。"
    }
    return scenarios.get(fear, "未找到适合该恐惧的场景。")
fear = "高空"
therapy_scenario = simulate_therapy_scenario(fear)
print(f"生成的心理治疗场景: {therapy_scenario}")

def generate_virtual_tour(location):
    tours = {
        "巴黎": "游览埃菲尔铁塔，欣赏塞纳河的美景。",
        "纽约": "探索中央公园和时代广场的繁华。",
        "东京": "体验秋叶原的现代与传统文化。"
    }
    return tours.get(location, "未找到该位置的虚拟旅游。")
tour_location = "巴黎"
virtual_tour = generate_virtual_tour(tour_location)
print(f"生成的虚拟旅游场景: {virtual_tour}")

def ar_experience(object):
    ar_objects = {
        "恐龙": "一只巨大的恐龙在你的面前走动。",
        "宇航员": "一个宇航员正在你的客厅中进行太空行走。",
        "飞碟": "一个飞碟在空中盘旋，向你发出信号。"
    }
    return ar_objects.get(object, "未找到该AR对象。")
ar_object = "恐龙"
ar_scene = ar_experience(ar_object)
print(f"增强现实体验: {ar_scene}")

def collect_user_feedback(user_experience):
    feedback = {
        "满意": "谢谢你的反馈，我们会继续改进。",
        "一般": "我们会考虑你的建议，努力做得更好。",
        "不满意": "抱歉让你失望了，我们会认真对待你的意见。"
    }
    return feedback.get(user_experience, "反馈已记录。")
user_experience = "一般"
feedback_response = collect_user_feedback(user_experience)
print(f"用户反馈回应: {feedback_response}")

def collaborate_with_ai(base_content):
    # 假设AI生成的基础内容
    ai_generated_content = f"{base_content}，并添加了更多细节和情节发展。"
    return ai_generated_content
base_content = "故事的开头是一个勇敢的骑士"
final_content = collaborate_with_ai(base_content)
print(f"合作生成的内容: {final_content}")