Create app.py

app.py

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+import gradio as gr
+from transformers import AutoProcessor, VisionEncoderDecoderModel
+from PIL import Image
+import torch
+
+# 加载模型和处理器
+model_id = "starvector/starvector-8b-im2svg"
+processor = AutoProcessor.from_pretrained(model_id)
+model = VisionEncoderDecoderModel.from_pretrained(model_id)
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model.to(device)
+
+# 定义推理函数
+def im2svg(image):
+    inputs = processor(images=image, return_tensors="pt").to(device)
+    outputs = model.generate(**inputs, max_new_tokens=1024)
+    generated_svg = processor.batch_decode(outputs, skip_special_tokens=True)[0]
+    return generated_svg
+
+# 创建 Gradio 界面
+demo = gr.Interface(
+    fn=im2svg,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="StarVector 8B - Image to SVG",
+    description="上传图像，将其转化为 SVG 矢量代码。",
+    allow_flagging="never"
+)
+
+demo.launch()