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Runtime error
Runtime error
Update app.py
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app.py
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import os
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import io
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import base64
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import gradio as gr
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from PIL import Image
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from openai import OpenAI
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buf = io.BytesIO()
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img.save(buf, format=fmt)
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b64 = base64.b64encode(buf.getvalue()).decode("utf-8")
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mime = "image/png" if fmt.upper() == "PNG" else "image/jpeg"
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return f"data:{mime};base64,{b64}"
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def chat_with_step3(image: Image.Image, question: str):
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if image is None:
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@@ -23,7 +43,8 @@ def chat_with_step3(image: Image.Image, question: str):
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if not question:
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question = "请描述这张图片。"
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messages = [
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{
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@@ -34,22 +55,30 @@ def chat_with_step3(image: Image.Image, question: str):
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],
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}
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]
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resp = client.chat.completions.create(
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model="step3-fp8", # 更稳妥的模型名
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messages=messages,
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max_tokens=1024,
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)
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return resp.choices[0].message.content
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iface = gr.Interface(
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fn=chat_with_step3,
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inputs=[
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title="Step3 FP8 (API) Demo",
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description="使用 StepFun 的 OpenAI 兼容 API
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)
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if __name__ == "__main__":
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# HF Spaces
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iface.launch()
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import io
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import os
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import base64
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import gradio as gr
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from PIL import Image
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from openai import OpenAI
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# ------- 配置区 -------
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# 推荐在 HF Space 的 Settings → Variables and secrets 里设置:
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# Name: OPENAI_API_KEY Value: 你的 StepFun API Key
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# 如需自定义变量名(比如 STEPFUN_KEY),下面会做兼容处理。
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STEPFUN_ENDPOINT = "https://platform.stepfun.com/v1"
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MODEL_NAME = "step3-fp8"
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MAX_TOKENS = 1024
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# ---------------------
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def _get_api_key():
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# 优先用 OPENAI_API_KEY(OpenAI SDK 的默认约定),否则回退 STEPFUN_KEY
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return os.getenv("OPENAI_API_KEY") or os.getenv("STEPFUN_KEY")
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def _pil_to_data_url(img: Image.Image, fmt: str = "PNG") -> str:
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buf = io.BytesIO()
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img.save(buf, format=fmt)
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b64 = base64.b64encode(buf.getvalue()).decode("utf-8")
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mime = "image/png" if fmt.upper() == "PNG" else "image/jpeg"
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return f"data:{mime};base64,{b64}"
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def _make_client() -> OpenAI:
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key = _get_api_key()
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if not key:
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# 给出更友好的报错,避免默认的 OpenAIError 让人摸不着头脑
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raise RuntimeError(
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"API Key 未设置。请到 Space 的 Settings → Variables and secrets 添加:\n"
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"Name=OPENAI_API_KEY,Value=你的 StepFun API Key(或用 STEPFUN_KEY 也可)。"
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)
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return OpenAI(api_key=key, base_url=STEPFUN_ENDPOINT)
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client = _make_client()
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def chat_with_step3(image: Image.Image, question: str):
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if image is None:
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if not question:
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question = "请描述这张图片。"
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# 将 PIL 图转成 data URL,传到 OpenAI 兼容接口
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data_url = _pil_to_data_url(image, fmt="PNG")
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messages = [
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{
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],
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}
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]
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try:
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resp = client.chat.completions.create(
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model=MODEL_NAME,
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messages=messages,
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max_tokens=MAX_TOKENS,
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)
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return resp.choices[0].message.content
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except Exception as e:
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# 返回更清晰的错误信息到前端,方便你在 Space 控制台外定位问题
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return f"调用失败:{e}"
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# 用 Interface 足够简单,也可改 Blocks
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iface = gr.Interface(
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fn=chat_with_step3,
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inputs=[
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gr.Image(type="pil", label="Upload image"),
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gr.Textbox(label="Question", placeholder="问点什么…"),
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],
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outputs=gr.Textbox(label="Answer"),
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title="Step3 FP8 (API) Demo",
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description="使用 StepFun 的 OpenAI 兼容 API(/v1)来调用 step3-fp8 模型。",
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)
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if __name__ == "__main__":
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# 在 HF Spaces 里不需要 share=True
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iface.launch()
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