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现在只要有额度，大家都可以调用OpenAI的多模态大模型了，例如GPT-4o和GPT-4 Turbo，我一年多前总结过一些OpenAI API的用法，发现现在稍微更新了一下。主要参考了这里：https://platform.openai.com/docs/guides/vision

其实也是比较简单的，就是本地图片需要用base 64先编码，然后再上传。我举个例子，大家应该一看就清楚（图片放在Processed文件夹里面）：

from openai import OpenAI
import os
import base64client = OpenAI(api_key="Your_API_Key"
)# Function to encode the image
def encode_image(image_path):with open(image_path, "rb") as image_file:return base64.b64encode(image_file.read()).decode('utf-8')fig_path='Processed'for filename in os.listdir(fig_path):if filename.endswith('.png'):image_path=os.path.join(fig_path, filename)print(image_path)base64_image = encode_image(image_path)messages=[{"role": "user", "content": [{"type":"text", "text":"What's in this image?"},{"type":"image_url","image_url":{"url":f"data:image/png;base64,{base64_image}"}}]}]completion = client.chat.completions.create(model="gpt-4o",messages=messages)chat_response = completionanswer = chat_response.choices[0].message.contentprint(f'ChatGPT: {answer}')

当然，大家用的时候还是要注意花费，现在感觉还是有点贵的。