Add pypi package link and instruction in README (#43)

README.md

@@ -2,6 +2,7 @@
 
 [![CMake](https://github.com/li-plus/chatglm.cpp/actions/workflows/cmake.yml/badge.svg)](https://github.com/li-plus/chatglm.cpp/actions/workflows/cmake.yml)
 [![Python package](https://github.com/li-plus/chatglm.cpp/actions/workflows/python-package.yml/badge.svg)](https://github.com/li-plus/chatglm.cpp/actions/workflows/python-package.yml)
+[![PyPI](https://img.shields.io/pypi/v/chatglm-cpp)](https://pypi.org/project/chatglm-cpp/)
 [![License: MIT](https://img.shields.io/badge/license-MIT-blue)](LICENSE)
 
 C++ implementation of [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) and [ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B) for real-time chatting on your MacBook.
@@ -52,13 +53,6 @@ For LoRA model, add `-l <lora_model_name_or_path>` flag to merge your LoRA weigh
 
 **Build & Run**
 
-- Docker
-```bash
-docker run -it --rm -v [model path]:/opt/ chulinx/chatglm /chatglm -m /opt/chatglm2-ggml.bin -p "你好啊"
-你好👋！我是人工智能助手 ChatGLM2-6B，很高兴见到你，欢迎问我任何问题。
-```
-- Compile 
-
 Compile the project using CMake:
 ```sh
 cmake -B build
@@ -109,11 +103,18 @@ Note that the current GGML CUDA implementation is really slow. The community is
 
 ## Python Binding
 
-To install the Python binding from source, run:
+The Python binding provides high-level `chat` and `stream_chat` interface similar to the original Hugging Face ChatGLM(2)-6B.
+
+Install from PyPI (recommended): will trigger compilation on your platform.
+```sh
+pip install -U chatglm-cpp
+```
+
+You may also install from source:
 ```sh
 # install from the latest source hosted on GitHub
 pip install git+https://github.com/li-plus/chatglm.cpp.git@main
-# or install from your local source
+# or install from your local source after git cloning the repo
 pip install .
 ```
 
@@ -131,6 +132,13 @@ For ChatGLM2, change the model path to `../chatglm2-ggml.bin` and everything wor
 
 ![web_demo](docs/web_demo.jpg)
 
+## Using Docker
+
+```sh
+docker run -it --rm -v [model path]:/opt/ chulinx/chatglm /chatglm -m /opt/chatglm2-ggml.bin -p "你好啊"
+你好👋！我是人工智能助手 ChatGLM2-6B，很高兴见到你，欢迎问我任何问题。
+```
+
 ## Performance
 
 Measured on a Linux server with Intel(R) Xeon(R) Platinum 8260 CPU @ 2.40GHz using 16 threads.

chatglm_cpp/__init__.py

@@ -4,7 +4,7 @@
 
 import chatglm_cpp._C as _C
 
-__version__ = "0.2.0"
+__version__ = "0.2.1"
 
 
 class Pipeline(_C.Pipeline):