[自然语言处理|NLP]NLP在语言创作与创新的应用：从原理到实践

# 示例代码：NLP模仿文学风格
import openai

openai.api_key = "YOUR_API_KEY"

def generate_literary_style_inspiration(prompt, style_to_emulate):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"写作风格仿照：{style_to_emulate}\n灵感：{prompt}",
        max_tokens=150
    )

    return response.choices[0].text.strip()

# 示例
prompt = "在晨曦中，一切都显得宁静而祥和。"
style_to_emulate = "莎士比亚"
literary_style = generate_literary_style_inspiration(prompt, style_to_emulate)

print("文学风格模仿:", literary_style)

# 示例代码：NLP情感驱动的故事生成
import openai

openai.api_key = "YOUR_API_KEY"

def generate_emotion_driven_story(emotion_prompt, context):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"情感：{emotion_prompt}\n情境描述：{context}",
        max_tokens=150
    )

    return response.choices[0].text.strip()

# 示例
emotion_prompt = "温馨"
context = "在一个小镇的咖啡馆里，一段特别的故事即将展开。"
emotion_driven_story = generate_emotion_driven_story(emotion_prompt, context)

print("情感驱动的故事:", emotion_driven_story)

# 示例代码：NLP个性化广告文案生成
import openai

openai.api_key = "YOUR_API_KEY"

def generate_personalized_ad_copy(user_profile, product_description):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"用户档案：{user_profile}\n产品描述：{product_description}",
        max_tokens=150
    )

   

 return response.choices[0].text.strip()

# 示例
user_profile = "年轻职业女性，喜欢时尚和健康生活。"
product_description = "一款新型健康饮品，融合水果口味和营养成分。"
ad_copy = generate_personalized_ad_copy(user_profile, product_description)

print("个性化广告文案:", ad_copy)

# 示例代码：NLP趋势解读与创意预测
import openai

openai.api_key = "YOUR_API_KEY"

def predict_creative_direction(trend_analysis, current_ads):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"趋势分析：{trend_analysis}\n当前广告：{current_ads}",
        max_tokens=150
    )

    return response.choices[0].text.strip()

# 示例
trend_analysis = "社交媒体上涌现出健康饮食的热潮，用户更注重产品的天然成分。"
current_ads = "各大品牌正在推出的广告主题以时尚、活力为主。"
creative_direction = predict_creative_direction(trend_analysis, current_ads)

print("创意方向预测:", creative_direction)

# 示例代码：NLP歌词创作助手
import openai

openai.api_key = "YOUR_API_KEY"

def generate_lyrics_inspiration(theme_prompt, emotion_prompt):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"主题：{theme_prompt}\n情感：{emotion_prompt}",
        max_tokens=150
    )

    return response.choices[0].text.strip()

# 示例
theme_prompt = "爱情"
emotion_prompt = "激情"
lyrics_inspiration = generate_lyrics_inspiration(theme_prompt, emotion_prompt)

print("歌词创作助手:", lyrics_inspiration)

# 示例代码：NLP情感音乐生成
import openai

openai.api_key = "YOUR_API_KEY"

def generate_emotion_driven_music(emotion_prompt, music_style):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"情感：{emotion_prompt}\n音乐风格：{music_style}",
        max_tokens=150
    )

    return response.choices[0].text.strip()

# 示例
emotion_prompt = "忧郁"
music_style = "钢琴曲"
emotion_driven_music = generate_emotion_driven_music(emotion_prompt, music_style)

print("情感音乐生成:", emotion_driven_music)