[Doc]Add English version of documents in examples/ (#1042)

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examples/runtime/python/README_CN.md

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+简体中文 ｜ [English](README.md)
+# Python推理
+
+在运行demo前，需确认以下两个步骤
+
+- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../docs/cn/build_and_install/download_prebuilt_libraries.md)  
+- 2. FastDeploy Python whl包安装，参考[FastDeploy Python安装](../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
+
+本文档以 PaddleClas 分类模型 MobileNetV2 为例展示 CPU 上的推理示例
+
+## 1. 获取模型
+
+``` python
+import fastdeploy as fd
+
+model_url = "https://bj.bcebos.com/fastdeploy/models/mobilenetv2.tgz"
+fd.download_and_decompress(model_url, path=".")
+```
+
+## 2. 配置后端
+
+``` python
+option = fd.RuntimeOption()
+
+option.set_model_path("mobilenetv2/inference.pdmodel",
+                      "mobilenetv2/inference.pdiparams")
+
+# **** CPU 配置 ****
+option.use_cpu()
+option.use_ort_backend()
+option.set_cpu_thread_num(12)
+
+# 初始化构造runtime
+runtime = fd.Runtime(option)
+
+# 获取模型输入名
+input_name = runtime.get_input_info(0).name
+
+# 构造随机数据进行推理
+results = runtime.infer({
+    input_name: np.random.rand(1, 3, 224, 224).astype("float32")
+})
+
+print(results[0].shape)
+```
+加载完成，会输出提示如下，说明初始化的后端，以及运行的硬件设备
+```
+[INFO] fastdeploy/fastdeploy_runtime.cc(283)::Init	Runtime initialized with Backend::OrtBackend in device Device::CPU.
+```
+
+## 其它文档
+
+- [Runtime C++ 示例](../cpp)
+- [切换模型推理的硬件和后端](../../../docs/cn/faq/how_to_change_backend.md)