Merge branch 'main' of https://github.com/open-sciencelab/GraphGen into main

Author: ChenZiHong-Gavin

README.md

@@ -34,6 +34,8 @@ Furthermore, GraphGen incorporates multi-hop neighborhood sampling to capture co
 
 ## 🚀 Quick Start
 
+Experience it on the [OpenXLab Application Center](https://openxlab.org.cn/apps/detail/tpoisonooo/GraphGen) 
+
 ### Gradio Demo
 
    ```bash

webui/app.py

@@ -313,7 +313,7 @@ def run_graphgen(*arguments: list, progress=gr.Progress()):
         with gr.Row(equal_height=True):
             with gr.Column(scale=3):
                 api_key = gr.Textbox(
-                    label="SiliconCloud Token",
+                    label=_("SiliconCloud Token"),
                     type="password",
                     value="",
                     info="https://cloud.siliconflow.cn/account/ak")

webui/translation.json

@@ -7,7 +7,8 @@
     "Synthesizer Model Info": "Model for constructing KGs and generating QAs",
     "Trainee Model Info": "Model for training",
     "Model Config": "Model Configuration",
-    "Generation Config": "Generation Config"
+    "Generation Config": "Generation Config",
+    "SiliconCloud Token": "SiliconCloud API Key"
   },
   "zh": {
     "Title": "✨开箱即用的LLM训练数据生成框架✨",
@@ -17,6 +18,7 @@
     "Synthesizer Model Info": "用于构建知识图谱和生成问答的模型",
     "Trainee Model Info": "用于训练的模型",
     "Model Config": "模型配置",
-    "Generation Config": "生成配置"
+    "Generation Config": "生成配置",
+    "SiliconCloud Token": "硅基流动 API Key"
   }
 }