Update README.md

README.md

@@ -1,2 +1,48 @@
+# 百分之一百成功率的多线程复合翻译器
+多线程复合翻译
+* 何为多线程 使用多线程发起html翻译请求
+* 何为复合 使用多种网页翻译器，避免了同一时间内发起过多请求被反爬虫拦截
+* 何为100%成功率 在降低同服务器请求频率下 将句子编码成小于5000一组，提高效率；对于所有服务器不可用的情况。有huggingFace的强大翻译模型提供支持
+
+支持en ==> zh
+
+# 安装
+见import模块
+
+# 使用
+```
+c = CompositeTranslate().run(['red','blue','yellow'])
+for i in c:
+    print(i)
+```
+
+------------------
 # MultiThreaded_Composite_Translate_100perCentSuccessRate
-as so as title
+* What is multi-threading Use multiple threads to initiate html translation requests
+* What is composite Using multiple web translators to avoid anti-crawlers intercepting too many requests launched at the same time
+* What is a 100% success rate Encoding sentences into groups of less than 5000 with reduced frequency of requests from the same server increases efficiency; for cases where all servers are unavailable. Supported by huggingFace's powerful translation model
+
+Support for en ==> zh
+
+# install
+See import module
+
+# use
+```
+See section above
+```
+
+-------------------------------------
+# See also/Borrowing
+* all translate https://github.com/UlionTse/translators
+* youdao google https://github.com/Chinese-boy/Many-Translaters
+* baidu https://github.com/zachitect/B_Translate/blob/master/BD_Trans_Tool_v1.00.py
+* huggingface https://huggingface.co/Helsinki-NLP/opus-mt-en-zh
+
+# Please come and see my other projects
+* Format-conversion-of-in-memory-audio
+>A simple tool class to compensate for the extremely slow loading of librosa, the inability to convert soundfiles to raw, and the difficulty of using wave
+>https://github.com/JyzjYzjyZ/Format-conversion-of-in-memory-audio
+* AutoViedoSubtitleGenerator
+>Using all the above techniques | as so as title
+>https://github.com/JyzjYzjyZ/AutoViedoSubtitleGenerator