fix: model url fixed (#178)

Author: yanbasic

.github/workflows/generate-model-config.yml

@@ -1,21 +1,23 @@
 name: Generate Model Configuration
 
 on:
+  workflow_run:
+    workflows: ["GitHub Pages"]  # Name of the gh-pages.yml workflow
+    types:
+      - completed
+    branches: [main]
   push:
     branches: [ main ]
     paths:
       - 'src/emd/models/**'
-      - 'tests/generate_model_config.py'
-  pull_request:
-    branches: [ main ]
-    paths:
-      - 'src/emd/models/**'
-      - 'tests/generate_model_config.py'
+      - docs/**
   workflow_dispatch:  # Allow manual trigger
 
 jobs:
   generate-config:
     runs-on: ubuntu-latest
+    # Only run if the triggering workflow succeeded (when triggered by workflow_run)
+    if: ${{ github.event.workflow_run.conclusion == 'success' || github.event_name != 'workflow_run' }}
 
     steps:
     - name: Checkout repository

README.md

@@ -24,7 +24,7 @@
 
 ## Introduction
 
-Easy Model Deployer is a lightweight tool designed for simplify deploy **Open-Source LLMs** ([Supported Models](https://aws-samples.github.io/easy-model-deployer/en/supported_models.html)) and Custom Models on AWS. It provides **OpenAI's Completions API** and [**LangChain Interface**](https://github.com/langchain-ai/langchain). Built for developers who need reliable and scalable model serving without complex environment setup.
+Easy Model Deployer is a lightweight tool designed for simplify deploy **Open-Source LLMs** ([Supported Models](https://aws-samples.github.io/easy-model-deployer/en/supported_models)) and Custom Models on AWS. It provides **OpenAI's Completions API** and [**LangChain Interface**](https://github.com/langchain-ai/langchain). Built for developers who need reliable and scalable model serving without complex environment setup.
 
 ![deploy](docs/images/demo-deploy.avif)
 
@@ -47,7 +47,7 @@ Easy Model Deployer supports a wide range of models including:
 - **ASR Models**: Whisper variants
 - **Custom Models**: Support for custom Docker images
 
-For the complete list of supported models and deployment configurations, see [Supported Models](https://aws-samples.github.io/easy-model-deployer/en/supported_models.html).
+For the complete list of supported models and deployment configurations, see [Supported Models](https://aws-samples.github.io/easy-model-deployer/en/supported_models).
 
 ## 🔧 Get Started
 
@@ -116,7 +116,7 @@ emd invoke <ModelId>
 
 ### List Supported Models
 
-Quickly see what models are supported, this command will output all information related to deployment. (Please browse [Supported Models](https://aws-samples.github.io/easy-model-deployer/en/supported_models.html) for more information.)
+Quickly see what models are supported, this command will output all information related to deployment. (Please browse [Supported Models](https://aws-samples.github.io/easy-model-deployer/en/supported_models) for more information.)
 
 ```bash
 emd list-supported-models

README_zh.md

@@ -23,7 +23,7 @@
 
 ## 简介
 
-还在为大模型部署而头疼吗？Easy Model Deployer 让你告别复杂的环境配置，轻松将**开源大模型**（[支持的模型](https://aws-samples.github.io/easy-model-deployer/en/supported_models.html)）部署到 AWS 云端。
+还在为大模型部署而头疼吗？Easy Model Deployer 让你告别复杂的环境配置，轻松将**开源大模型**（[支持的模型](https://aws-samples.github.io/easy-model-deployer/en/supported_models)）部署到 AWS 云端。
 
 无论是大语言模型、视觉模型还是自定义模型，一条命令即可搞定部署。更棒的是，部署完成后直接获得 **OpenAI 兼容 API** 和 [**LangChain 接口**](https://github.com/langchain-ai/langchain)，让你的 AI 应用开发如虎添翼。
 
@@ -50,7 +50,7 @@ Easy Model Deployer 支持广泛的模型类型，包括：
 - **语音识别模型**: Whisper 变体
 - **自定义模型**: 支持自定义 Docker 镜像
 
-完整的支持模型列表和部署配置，请参见[支持的模型](https://aws-samples.github.io/easy-model-deployer/en/supported_models.html)。
+完整的支持模型列表和部署配置，请参见[支持的模型](https://aws-samples.github.io/easy-model-deployer/en/supported_models)。
 
 ## 🔧 快速开始
 
@@ -119,7 +119,7 @@ emd invoke <ModelId>
 
 ### 列出支持的模型
 
-快速查看支持哪些模型，此命令将输出与部署相关的所有信息。（更多信息请浏览[支持的模型](https://aws-samples.github.io/easy-model-deployer/en/supported_models.html)。）
+快速查看支持哪些模型，此命令将输出与部署相关的所有信息。（更多信息请浏览[支持的模型](https://aws-samples.github.io/easy-model-deployer/en/supported_models)。）
 
 ```bash
 emd list-supported-models