feat: pypi (#154)

* feat: pypi

README-CN.md

@@ -15,7 +15,7 @@ bilingual_book_maker 是一个 AI 翻译工具，使用 ChatGPT 帮助用户制
 
 ## 使用
 
-1. `pip install -r requirements.txt`
+1. `pip install -r requirements.txt` 或 `pip install -U bbook_maker`
 2. 使用 `--openai_key` 指定 OpenAI API key，如果有多个可以用英文逗号分隔(xxx,xxx,xxx)，可以减少接口调用次数限制带来的错误。  
    或者，指定环境变量 `BMM_OPENAI_API_KEY` 来略过这个选项。
 3. 本地放了一个 `test_books/animal_farm.epub` 给大家测试
@@ -45,6 +45,8 @@ bilingual_book_maker 是一个 AI 翻译工具，使用 ChatGPT 帮助用户制
 
 ### 示范用例
 
+**如果使用 `pip install bbook_maker` 以下命令都可以改成 `bbook args`**
+
 ```shell
 # 如果你想快速测一下
 python3 make_book.py --book_name test_books/animal_farm.epub --openai_key ${openai_key} --test

README.md

@@ -1,7 +1,3 @@
-This forked added Google Translate support, only supported translate to `zh-CN`.
-Usage: make sure to add `--model google` in the command.
-
-
 **[中文](./README-CN.md) | English**
 
 # bilingual_book_maker
@@ -19,7 +15,7 @@ The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist u
 
 ## Use
 
-1. `pip install -r requirements.txt`
+1. `pip install -r requirements.txt` or `pip install -U bbook_maker`(you can use)
 2. Use `--openai_key` option to specify OpenAI API key. If you have multiple keys, separate them by commas (xxx,xxx,xxx) to reduce errors caused by API call limits.  
    Or, just set environment variable `BMM_OPENAI_API_KEY` instead.
 3. A sample book, `test_books/animal_farm.epub`, is provided for testing purposes.
@@ -48,6 +44,8 @@ The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist u
 
 ### Examples
 
+**Note if use `pip install bbook_maker` all commands can change to `bbook args`**
+
 ```shell
 # Test quickly
 python3 make_book.py --book_name test_books/animal_farm.epub --openai_key ${openai_key}  --test --language zh-hans

book_maker/cli.py

@@ -1,12 +1,12 @@
 import argparse
+import json
 import os
 from os import environ as env
-import json
 
+import book_maker.obok as obok
 from book_maker.loader import BOOK_LOADER_DICT
 from book_maker.translator import MODEL_DICT
 from book_maker.utils import LANGUAGES, TO_LANGUAGE_CODE
-import book_maker.obok as obok
 
 
 def parse_prompt_arg(prompt_arg):

book_maker/loader/__init__.py

@@ -1,5 +1,4 @@
 from book_maker.loader.epub_loader import EPUBBookLoader
-
 from book_maker.loader.txt_loader import TXTBookLoader
 
 BOOK_LOADER_DICT = {

book_maker/loader/epub_loader.py

@@ -9,9 +9,10 @@ from ebooklib import ITEM_DOCUMENT, epub
 from rich import print
 from tqdm import tqdm
 
-from .base_loader import BaseBookLoader
 from book_maker.utils import prompt_config_to_kwargs
 
+from .base_loader import BaseBookLoader
+
 
 class EPUBBookLoader(BaseBookLoader):
     def __init__(

book_maker/loader/txt_loader.py

@@ -1,9 +1,10 @@
 import sys
 from pathlib import Path
 
-from .base_loader import BaseBookLoader
 from book_maker.utils import prompt_config_to_kwargs
 
+from .base_loader import BaseBookLoader
+
 
 class TXTBookLoader(BaseBookLoader):
     def __init__(

book_maker/obok.py

@@ -164,19 +164,19 @@ from __future__ import print_function
 __version__ = "4.0.0"
 __about__ = "Obok v{0}\nCopyright © 2012-2020 Physisticated et al.".format(__version__)
 
-import sys
-import os
-import subprocess
-import sqlite3
 import base64
 import binascii
-import re
-import zipfile
 import hashlib
-import xml.etree.ElementTree as ET
+import os
-import string
+import re
 import shutil
+import sqlite3
+import string
+import subprocess
+import sys
 import tempfile
+import xml.etree.ElementTree as ET
+import zipfile
 
 can_parse_xml = True
 try:
@@ -199,14 +199,14 @@ def _load_crypto_libcrypto():
     from ctypes import (
         CDLL,
         POINTER,
-        c_void_p,
+        Structure,
         c_char_p,
         c_int,
         c_long,
-        Structure,
         c_ulong,
-        create_string_buffer,
+        c_void_p,
         cast,
+        create_string_buffer,
     )
     from ctypes.util import find_library
 

book_maker/translator/chatgptapi_translator.py

@@ -1,10 +1,9 @@
 import time
-
-import openai
 from os import environ
 
-from .base_translator import Base
+import openai
 
+from .base_translator import Base
 
 PROMPT_ENV_MAP = {
     "user": "BBM_CHATGPTAPI_USER_MSG_TEMPLATE",

setup.py

@@ -0,0 +1,23 @@
+#!/usr/bin/env python3
+from setuptools import find_packages, setup
+
+setup(
+    name="bbook_maker",
+    description="The bilingual_book_maker is an AI translation tool that uses ChatGPT to assist users in creating multi-language versions of epub/txt files and books.",
+    version="0.1.0",
+    license="MIT",
+    author="yihong0618",
+    author_email="zouzou0208@gmail.com",
+    packages=find_packages(),
+    url="https://github.com/yihong0618/bilingual_book_maker",
+    python_requires=">=3.7",
+    install_requires=["bs4", "openai", "requests", "ebooklib", "rich", "tqdm"],
+    classifiers=[
+        "Programming Language :: Python :: 3",
+        "License :: OSI Approved :: MIT License",
+        "Operating System :: OS Independent",
+    ],
+    entry_points={
+        "console_scripts": ["bbook_maker = book_maker.cli:main"],
+    },
+)