python调用实例

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 创建一个请求来获取gpt-3.5-turbo模型的响应
completion = client.chat.completions.create(
    model="gpt-3.5-turbo",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ]
)

# 打印响应内容
print(completion.choices[0].message)

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 创建一个请求来获取claude-3模型的响应
completion = client.chat.completions.create(
    model="claude-3-7-sonnet-20250219",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ]
)

# 打印响应内容
print(completion.choices[0].message)

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 创建一个请求来获取gpt-4o模型的响应
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What’s in this image?"},
                {
                    "type": "image_url",
                    "image_url":
                        {
                            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
                        },
                },
            ],
        }
    ],
    max_tokens=300,
)

# 打印响应内容
print(response.choices[0])

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 创建一个请求来获取dall-e-3模型的响应
response = client.images.generate(
    model="dall-e-3",
    prompt="a white siamese cat",
    size="1024x1024",
    quality="standard",
    n=1,
)

# 打印图片地址
print(response.data[0].url)

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI
import base64
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

prompt = """
请画一张极其平凡无奇的iPhone自拍照，没有明确的主体或构图感--就像是随手一拍的快照。照片略带运动模糊，阳光或店内灯光不均导致轻微曝光过度。角度尴尬、构图混乱，整体呈现出一种刻意的平庸感-就像是从口袋里拿手机时不小心拍到的一张自拍。 主角是特朗普，晚上，旁边是上海东方明珠，在上海的黄浦江旁边……
"""

result = client.images.generate(
    model="gpt-image-1",
    prompt=prompt
)

image_base64 = result.data[0].b64_json
image_bytes = base64.b64decode(image_base64)

# Save the image to a file
with open("otter.png", "wb") as f:
    f.write(image_bytes)

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI
from pathlib import Path

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 设置保存音频的路径文件
speech_file_path = Path(__file__).parent / "speech.mp3"

# 创建一个请求来获取tts-1模型的响应
response = client.audio.speech.create(
    model="tts-1",
    voice="alloy",
    input="Today is a wonderful day to build something people love!"
)

# 保存音频
with open(speech_file_path, "wb") as f:
    f.write(response.content)

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI
from pathlib import Path

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 加载音频地址
audio_file= open(Path(__file__).parent / "speech.mp3", "rb")

# 创建一个请求来获取whisper-1模型的响应
transcript = client.audio.transcriptions.create(
    model="whisper-1",
    file=audio_file
)

# 打印文字
print(transcript.text)

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 创建一个请求来获取text-embedding-3-small模型的响应
completion = client.embeddings.create(
    input="Your text string goes here",
    model="text-embedding-3-small"
)

# 打印响应内容
print(completion.data[0].embedding)

# 调用openai模块要大于等于v1.70.0
from openai import OpenAI

# 设置您的API密钥或者令牌 以及你的自定义API地址
client = OpenAI(
    api_key="sk-xxxxxx",
    base_url="https://api.chatgptsb.com/v1"
)

# 创建一个请求
response = client.responses.create(
  model="gpt-4.1",
  input="Tell me a three sentence bedtime story about a unicorn."
)

print(response)