前言在这个充满智慧的时代，ChatGPT已经成为编程领域不可或缺的一部分。通过这十三个章节和50个实例，我们将揭示它如何让开发更为高效、精准。无论你是初学者还是经验丰富的程序员，ChatGPT都能提供帮助，从简化工作流到改进代码质量，每一步都值得一试。

但请记住，ChatGPT仅是工具，它不能替代你的知识与技能。你需要使用它，同时保持学习的态度，不断提升自己的能力。让我们一起探索ChatGPT带来的革命性改变吧！

二、智能助手

1.2 提示词:

Create a chatbot that answers [user's question] using [database].

举例:

Create a chatbot that answers user queries about the weather in their location using OpenWeatherMap API.

生成结果以下是一个使用OpenWeatherMap API创建的聊天机器人，该聊天机器人可以回答关于用户所在地天气的问题：

import requests

def get_weather(location):

api_key = "YOUR_OPENWEATHERMAP_API_KEY"

base_url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={api_key}"

response = requests.get(base_url)

data = response.json()

if data["cod"] == 200:

main_data = data["main"]

weather_desc = data["weather"][0]["description"]

return {

"temperature": main_data["temp"],

"humidity": main_data["humidity"],

"weather_desc": weather_desc,

}

chatbot_response_template = """

当前温度：{temperature}°C

湿度：{humidity}%

天气描述：{weather_desc}

"""

def respond_to_question(user_query, user_location):

query_parts = user_query.split(" ")

if len(query_parts) > 1 and query_parts[1].lower() == "what":

# 获取用户查询中的地点信息

location_info_idx_start, location_info_idx_end \

= next((i for i, x in enumerate(query_parts) if 'location' in x.lower()), None)

if location_info_idx_start is not None and location_info_idx_end is not None:

requested_location \

= ' '.join([query_parts[i] for i in range(location_info_idx_start + 1, location_info_idx_end)])

weather_data_dict \

= get_weather(requested_location)

# 构建响应消息

chatbot_response_message \

//= """当前温度：{}

// {}°C""".format(weather_data_dict['temperature'], requested_location)

// """湿度：{}

// {}%""".format(weather_data_dict['humidity'], requested_location)

// """天气描述：

// {}

// """.format(weather_data_dict['weather_desc'])

if __name__ == "__main__":

# 使用测试数据进行测试

user_queries_and_locations_test_cases=[

('What is the current temperature in New York?', 'New York'),

('What is the humidity like right now? I am currently located at San Francisco.', 'San Francisco'),

]

for query, loc in user_queries_and_locations_test_cases:

response=respond_to_question(query,loc)

print(response)

该聊天机器人的功能包括根据用户输入的地理位置查询并返回当地的温度、湿度以及详细的天气描述。