import gradio as gr
import openai
import os
from openai import OpenAI
#client = OpenAI(api_key="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")
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
# 设置OpenAI的API密钥

# 将用户的输入数据以正确的格式提交给模型
def get_response(text, image1, image2, image3, image4):
    response = client.chat.completions.create(
        model="gpt-4-vision-preview",
        messages=[{
      "role": "user",
      "content": [
        {"type": "text","text": f'{text}'},
        {"type": "image_url","image_url": {"url": f'{image1}'},},
        {"type": "image_url","image_url": {"url": f'{image2}'},},
        {"type": "image_url","image_url": {"url": f'{image3}'},},
        {"type": "image_url","image_url": {"url": f'{image4}'},},
      ],}],
        temperature=0,  # 设置temperature为0以获得稳定结果
        max_tokens=600
    )
    return response.choices[0].message.content

# gradio UI
iface = gr.Interface(
    fn=get_response,
    inputs=["text", "text", "text", "text", "text"],
    outputs="text"
)

iface.launch(share=True,debug=True)
#share=True,debug=True