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import os | |
import gradio as gr | |
from openai import OpenAI | |
# 读取 API 密钥和端点 | |
client = OpenAI( | |
api_key=os.getenv("stepfun_key"), | |
base_url="https://platform.stepfun.com/v1" | |
) | |
def chat_with_step3(image, question): | |
"""上传图片和文本,通过 API 请求 step3 推理。""" | |
messages = [ | |
{ | |
"role": "user", | |
"content": [ | |
{"type": "image_url", "image_url": {"url": image}}, | |
{"type": "text", "text": question}, | |
], | |
} | |
] | |
completion = client.chat.completions.create( | |
model="step3", messages=messages, max_tokens=4096 | |
) | |
return completion.choices[0].message.content | |
iface = gr.Interface( | |
fn=chat_with_step3, | |
inputs=[gr.Image(type="pil", label="Upload image"), gr.Textbox(label="Question")], | |
outputs="text", | |
title="Step3 FP8 (API) Demo", | |
description="使用 StepFun 提供的 OpenAI 兼容 API 调用 step3‑fp8 模型。" | |
) | |
if __name__ == "__main__": | |
iface.launch() | |