# Install the OpenAI Python library
pip install openai

# Python code example
from openai import OpenAI

client = OpenAI(api_key="your-api-key")

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "Explain what machine learning is in one sentence"}
    ]
)

print(response.choices[0].message.content)

from openai import OpenAI

client = OpenAI(api_key="your-api-key")

# Streaming output, displayed verbatim
stream = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Write a poem about spring"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)

from openai import OpenAI
import json

client = OpenAI(api_key="your-api-key")

#define tools
tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Get the current weather of the specified city",
        "parameters": {
            "type": "object",
            "properties": {
                "city": {"type": "string", "description": "city name"},
                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
            },
            "required": ["city"]
        }
    }
}]

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "How is the weather in Beijing today?"}],
    tools=tools,
    tool_choice="auto"
)

# Check whether the tool needs to be called
if response.choices[0].message.tool_calls:
    tool_call = response.choices[0].message.tool_calls[0]
    args = json.loads(tool_call.function.arguments)
    print(f"GPT to be called: {tool_call.function.name}")
    print(f"Parameters: {args}")

from openai import OpenAI

client = OpenAI(api_key="your-api-key")

response = client.images.generate(
    model="dall-e-3",
    prompt="A serene Japanese garden with cherry blossoms, "
           "traditional stone lantern, koi pond, "
           "soft morning light, photorealistic",
    size="1024x1024",
    quality="standard",
    n=1
)

image_url = response.data[0].url
print(f"Image URL: {image_url}")
# The URL is valid for 1 hour and needs to be downloaded and saved in time.