feat: refactor and we have no type hint never (#97)

book_maker/__main__.py

@@ -0,0 +1 @@
+from cli import main

book_maker/cli.py

@@ -0,0 +1,127 @@
+import argparse
+import os
+from os import environ as env
+
+from book_maker.loader import BOOK_LOADER_DICT
+from book_maker.translator import MODEL_DICT
+from book_maker.utils import LANGUAGES, TO_LANGUAGE_CODE
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--book_name",
+        dest="book_name",
+        type=str,
+        help="your epub book file path",
+    )
+    parser.add_argument(
+        "--openai_key",
+        dest="openai_key",
+        type=str,
+        default="",
+        help="openai api key,if you have more than one key,you can use comma"
+        " to split them and you can break through the limitation",
+    )
+    parser.add_argument(
+        "--no_limit",
+        dest="no_limit",
+        action="store_true",
+        help="If you are a paying customer you can add it",
+    )
+    parser.add_argument(
+        "--test",
+        dest="test",
+        action="store_true",
+        help="if test we only translat 10 contents you can easily check",
+    )
+    parser.add_argument(
+        "--test_num",
+        dest="test_num",
+        type=int,
+        default=10,
+        help="test num for the test",
+    )
+    parser.add_argument(
+        "-m",
+        "--model",
+        dest="model",
+        type=str,
+        default="chatgptapi",
+        choices=["chatgptapi", "gpt3"],  # support DeepL later
+        metavar="MODEL",
+        help="Which model to use, available: {%(choices)s}",
+    )
+    parser.add_argument(
+        "--language",
+        type=str,
+        choices=sorted(LANGUAGES.keys())
+        + sorted([k.title() for k in TO_LANGUAGE_CODE.keys()]),
+        default="zh-hans",
+        metavar="LANGUAGE",
+        help="language to translate to, available: {%(choices)s}",
+    )
+    parser.add_argument(
+        "--resume",
+        dest="resume",
+        action="store_true",
+        help="if program accidentally stop you can use this to resume",
+    )
+    parser.add_argument(
+        "-p",
+        "--proxy",
+        dest="proxy",
+        type=str,
+        default="",
+        help="use proxy like http://127.0.0.1:7890",
+    )
+    # args to change api_base
+    parser.add_argument(
+        "--api_base",
+        dest="api_base",
+        type=str,
+        help="replace base url from openapi",
+    )
+
+    options = parser.parse_args()
+    PROXY = options.proxy
+    if PROXY != "":
+        os.environ["http_proxy"] = PROXY
+        os.environ["https_proxy"] = PROXY
+
+    OPENAI_API_KEY = options.openai_key or env.get("OPENAI_API_KEY")
+    if not OPENAI_API_KEY:
+        raise Exception("Need openai API key, please google how to")
+
+    book_type = options.book_name.split(".")[-1]
+    support_type_list = list(BOOK_LOADER_DICT.keys())
+    if book_type not in support_type_list:
+        raise Exception(f"now only support {','.join(support_type_list)} files")
+    translate_model = MODEL_DICT.get(options.model)
+    assert translate_model is not None, "Not support model"
+
+    book_loader = BOOK_LOADER_DICT.get(book_type)
+    assert book_loader is not None, "Not support loader"
+    language = options.language
+    if options.language in LANGUAGES:
+        # use the value for prompt
+        language = LANGUAGES.get(language, language)
+
+    # change api_base for issue #42
+    model_api_base = options.api_base
+
+    e = book_loader(
+        options.book_name,
+        translate_model,
+        OPENAI_API_KEY,
+        options.resume,
+        language=language,
+        model_api_base=model_api_base,
+        is_test=options.test,
+        test_num=options.test_num,
+    )
+    e.make_bilingual_book()
+
+
+if __name__ == "__main__":
+    main()

book_maker/loader/__init__.py

@@ -0,0 +1,6 @@
+from book_maker.loader.epub_loader import EPUBBookLoader
+
+BOOK_LOADER_DICT = {
+    "epub": EPUBBookLoader
+    # TODO add more here
+}

book_maker/loader/base_loader.py

@@ -0,0 +1,40 @@
+from abc import abstractmethod
+
+
+class BaseBookLoader:
+    def __init__(
+        self,
+        epub_name,
+        model,
+        key,
+        resume,
+        language,
+        model_api_base=None,
+        is_test=False,
+        test_num=5,
+    ):
+        pass
+
+    @staticmethod
+    def _is_special_text(text):
+        return text.isdigit() or text.isspace()
+
+    @abstractmethod
+    def _make_new_book(self, book):
+        pass
+
+    @abstractmethod
+    def make_bilingual_book(self):
+        pass
+
+    @abstractmethod
+    def load_state(self):
+        pass
+
+    @abstractmethod
+    def _save_temp_book(self):
+        pass
+
+    @abstractmethod
+    def _save_progress(self):
+        pass

book_maker/loader/epub_loader.py

@@ -0,0 +1,168 @@
+import argparse
+import os
+import pickle
+import sys
+from copy import copy
+from pathlib import Path
+
+from bs4 import BeautifulSoup as bs
+from ebooklib import ITEM_DOCUMENT, epub
+from rich import print
+from tqdm import tqdm
+
+from .base_loader import BaseBookLoader
+
+
+class EPUBBookLoader(BaseBookLoader):
+    def __init__(
+        self,
+        epub_name,
+        model,
+        key,
+        resume,
+        language,
+        model_api_base=None,
+        is_test=False,
+        test_num=5,
+    ):
+        self.epub_name = epub_name
+        self.new_epub = epub.EpubBook()
+        self.translate_model = model(key, language, model_api_base)
+        self.is_test = is_test
+        self.test_num = test_num
+
+        try:
+            self.origin_book = epub.read_epub(self.epub_name)
+        except:
+            # tricky for #71 if you don't know why please check the issue and ignore this
+            # when upstream change will TODO fix this
+            def _load_spine(self):
+                spine = self.container.find(
+                    "{%s}%s" % (epub.NAMESPACES["OPF"], "spine")
+                )
+
+                self.book.spine = [
+                    (t.get("idref"), t.get("linear", "yes")) for t in spine
+                ]
+                self.book.set_direction(spine.get("page-progression-direction", None))
+
+            epub.EpubReader._load_spine = _load_spine
+            self.origin_book = epub.read_epub(self.epub_name)
+
+        self.p_to_save = []
+        self.resume = resume
+        self.bin_path = f"{Path(epub_name).parent}/.{Path(epub_name).stem}.temp.bin"
+        if self.resume:
+            self.load_state()
+
+    @staticmethod
+    def _is_special_text(text):
+        return text.isdigit() or text.isspace()
+
+    def _make_new_book(self, book):
+        new_book = epub.EpubBook()
+        new_book.metadata = book.metadata
+        new_book.spine = book.spine
+        new_book.toc = book.toc
+        return new_book
+
+    def make_bilingual_book(self):
+        new_book = self._make_new_book(self.origin_book)
+        all_items = list(self.origin_book.get_items())
+        all_p_length = sum(
+            0
+            if i.get_type() != ITEM_DOCUMENT
+            else len(bs(i.content, "html.parser").findAll("p"))
+            for i in all_items
+        )
+        pbar = tqdm(total=self.test_num) if self.is_test else tqdm(total=all_p_length)
+        index = 0
+        p_to_save_len = len(self.p_to_save)
+        try:
+            for item in self.origin_book.get_items():
+                if item.get_type() == ITEM_DOCUMENT:
+                    soup = bs(item.content, "html.parser")
+                    p_list = soup.findAll("p")
+                    is_test_done = self.is_test and index > self.test_num
+                    for p in p_list:
+                        if is_test_done or not p.text or self._is_special_text(p.text):
+                            continue
+                        new_p = copy(p)
+                        # TODO banch of p to translate then combine
+                        # PR welcome here
+                        if self.resume and index < p_to_save_len:
+                            new_p.string = self.p_to_save[index]
+                        else:
+                            new_p.string = self.translate_model.translate(p.text)
+                            self.p_to_save.append(new_p.text)
+                        p.insert_after(new_p)
+                        index += 1
+                        if index % 20 == 0:
+                            self._save_progress()
+                        # pbar.update(delta) not pbar.update(index)?
+                        pbar.update(1)
+                        if self.is_test and index >= self.test_num:
+                            break
+                    item.content = soup.prettify().encode()
+                new_book.add_item(item)
+            name, _ = os.path.splitext(self.epub_name)
+            epub.write_epub(f"{name}_bilingual.epub", new_book, {})
+            pbar.close()
+        except (KeyboardInterrupt, Exception) as e:
+            print(e)
+            print("you can resume it next time")
+            self._save_progress()
+            self._save_temp_book()
+            sys.exit(0)
+
+    def load_state(self):
+        try:
+            with open(self.bin_path, "rb") as f:
+                self.p_to_save = pickle.load(f)
+        except:
+            raise Exception("can not load resume file")
+
+    def _save_temp_book(self):
+        origin_book_temp = epub.read_epub(
+            self.epub_name
+        )  # we need a new instance for temp save
+        new_temp_book = self._make_new_book(origin_book_temp)
+        p_to_save_len = len(self.p_to_save)
+        index = 0
+        try:
+            for item in self.origin_book.get_items():
+                if item.get_type() == ITEM_DOCUMENT:
+                    soup = (
+                        bs(item.content, "xml")
+                        if item.file_name.endswith(".xhtml")
+                        else bs(item.content, "html.parser")
+                    )
+                    p_list = soup.findAll("p")
+                    for p in p_list:
+                        if not p.text or self._is_special_text(p.text):
+                            continue
+                        # TODO banch of p to translate then combine
+                        # PR welcome here
+                        if index < p_to_save_len:
+                            new_p = copy(p)
+                            new_p.string = self.p_to_save[index]
+                            print(new_p.string)
+                            p.insert_after(new_p)
+                            index += 1
+                        else:
+                            break
+                    # for save temp book
+                    item.content = soup.prettify().encode()
+                new_temp_book.add_item(item)
+            name, _ = os.path.splitext(self.epub_name)
+            epub.write_epub(f"{name}_bilingual_temp.epub", new_temp_book, {})
+        except Exception as e:
+            # TODO handle it
+            print(e)
+
+    def _save_progress(self):
+        try:
+            with open(self.bin_path, "wb") as f:
+                pickle.dump(self.p_to_save, f)
+        except:
+            raise Exception("can not save resume file")

book_maker/loader/srt_loader.py

@@ -0,0 +1 @@
+"""TODO"""

book_maker/loader/txt_loader.py

@@ -0,0 +1 @@
+"""TODO"""

book_maker/translator/__init__.py

@@ -0,0 +1,8 @@
+from book_maker.translator.chatgptapi_translator import ChatGPTAPI
+from book_maker.translator.gpt3_translator import GPT3
+
+MODEL_DICT = {
+    "chatgptapi": ChatGPTAPI,
+    "gpt3": GPT3,
+    # add more here
+}

book_maker/translator/base_translator.py

@@ -0,0 +1,18 @@
+from abc import abstractmethod
+
+
+class Base:
+    def __init__(self, key, language, api_base=None):
+        self.key = key
+        self.language = language
+        self.current_key_index = 0
+
+    def get_key(self, key_str):
+        keys = key_str.split(",")
+        key = keys[self.current_key_index]
+        self.current_key_index = (self.current_key_index + 1) % len(keys)
+        return key
+
+    @abstractmethod
+    def translate(self, text):
+        pass

book_maker/translator/chatgptapi_translator.py

@@ -0,0 +1,61 @@
+import time
+
+import openai
+
+from .base_translator import Base
+
+
+class ChatGPTAPI(Base):
+    def __init__(self, key, language, api_base=None):
+        super().__init__(key, language, api_base=api_base)
+        self.key = key
+        self.language = language
+        if api_base:
+            openai.api_base = api_base
+
+    def translate(self, text):
+        print(text)
+        openai.api_key = self.get_key(self.key)
+        try:
+            completion = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=[
+                    {
+                        "role": "user",
+                        # english prompt here to save tokens
+                        "content": f"Please help me to translate,`{text}` to {self.language}, please return only translated content not include the origin text",
+                    }
+                ],
+            )
+            t_text = (
+                completion["choices"][0]
+                .get("message")
+                .get("content")
+                .encode("utf8")
+                .decode()
+            )
+        except Exception as e:
+            # TIME LIMIT for open api please pay
+            key_len = self.key.count(",") + 1
+            sleep_time = int(60 / key_len)
+            time.sleep(sleep_time)
+            print(e, f"will sleep  {sleep_time} seconds")
+            openai.api_key = self.get_key(self.key)
+            completion = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=[
+                    {
+                        "role": "user",
+                        "content": f"Please help me to translate,`{text}` to {self.language}, please return only translated content not include the origin text",
+                    }
+                ],
+            )
+            t_text = (
+                completion["choices"][0]
+                .get("message")
+                .get("content")
+                .encode("utf8")
+                .decode()
+            )
+        print(t_text)
+        return t_text

book_maker/translator/deepl_translator.py

@@ -0,0 +1,9 @@
+from .base_translator import Base
+
+
+class DeepL(Base):
+    def __init__(self, session, key, api_base=None):
+        super().__init__(session, key, api_base=api_base)
+
+    def translate(self, text):
+        return super().translate(text)

book_maker/translator/gpt3_translator.py

@@ -0,0 +1,39 @@
+import requests
+from rich import print
+
+from .base_translator import Base
+
+
+class GPT3(Base):
+    def __init__(self, key, language, api_base=None):
+        super().__init__(key, language)
+        self.api_key = key
+        self.api_url = (
+            f"{api_base}v1/completions"
+            if api_base
+            else "https://api.openai.com/v1/completions"
+        )
+        self.headers = {
+            "Content-Type": "application/json",
+        }
+        # TODO support more models here
+        self.data = {
+            "prompt": "",
+            "model": "text-davinci-003",
+            "max_tokens": 1024,
+            "temperature": 1,
+            "top_p": 1,
+        }
+        self.session = requests.session()
+        self.language = language
+
+    def translate(self, text):
+        print(text)
+        self.headers["Authorization"] = f"Bearer {self.get_key(self.api_key)}"
+        self.data["prompt"] = f"Please help me to translate，`{text}` to {self.language}"
+        r = self.session.post(self.api_url, headers=self.headers, json=self.data)
+        if not r.ok:
+            return text
+        t_text = r.json().get("choices")[0].get("text", "").strip()
+        print(t_text)
+        return t_text

make_book.py

@@ -1,396 +1,4 @@
-import argparse
+from book_maker.cli import main
-import os
-import pickle
-import sys
-import time
-from abc import abstractmethod
-from copy import copy
-from os import environ as env
-from pathlib import Path
-
-import openai
-import requests
-from bs4 import BeautifulSoup as bs
-from ebooklib import epub, ITEM_DOCUMENT
-from rich import print
-from tqdm import tqdm
-
-from utils import LANGUAGES, TO_LANGUAGE_CODE
-
-NO_LIMIT = False
-IS_TEST = False
-RESUME = False
-
-
-class Base:
-    def __init__(self, key, language, api_base=None):
-        self.key = key
-        self.language = language
-        self.current_key_index = 0
-
-    def get_key(self, key_str):
-        keys = key_str.split(",")
-        key = keys[self.current_key_index]
-        self.current_key_index = (self.current_key_index + 1) % len(keys)
-        return key
-
-    @abstractmethod
-    def translate(self, text):
-        pass
-
-
-class GPT3(Base):
-    def __init__(self, key, language, api_base=None):
-        super().__init__(key, language)
-        self.api_key = key
-        self.api_url = (
-            f"{api_base}v1/completions"
-            if api_base
-            else "https://api.openai.com/v1/completions"
-        )
-        self.headers = {
-            "Content-Type": "application/json",
-        }
-        # TODO support more models here
-        self.data = {
-            "prompt": "",
-            "model": "text-davinci-003",
-            "max_tokens": 1024,
-            "temperature": 1,
-            "top_p": 1,
-        }
-        self.session = requests.session()
-        self.language = language
-
-    def translate(self, text):
-        print(text)
-        self.headers["Authorization"] = f"Bearer {self.get_key(self.api_key)}"
-        self.data["prompt"] = f"Please help me to translate，`{text}` to {self.language}"
-        r = self.session.post(self.api_url, headers=self.headers, json=self.data)
-        if not r.ok:
-            return text
-        t_text = r.json().get("choices")[0].get("text", "").strip()
-        print(t_text)
-        return t_text
-
-
-class DeepL(Base):
-    def __init__(self, session, key, api_base=None):
-        super().__init__(session, key, api_base=api_base)
-
-    def translate(self, text):
-        return super().translate(text)
-
-
-class ChatGPT(Base):
-    def __init__(self, key, language, api_base=None):
-        super().__init__(key, language, api_base=api_base)
-        self.key = key
-        self.language = language
-        if api_base:
-            openai.api_base = api_base
-
-    def translate(self, text):
-        print(text)
-        openai.api_key = self.get_key(self.key)
-        try:
-            completion = openai.ChatCompletion.create(
-                model="gpt-3.5-turbo",
-                messages=[
-                    {
-                        "role": "user",
-                        # english prompt here to save tokens
-                        "content": f"Please help me to translate,`{text}` to {self.language}, please return only translated content not include the origin text",
-                    }
-                ],
-            )
-            t_text = (
-                completion["choices"][0]
-                .get("message")
-                .get("content")
-                .encode("utf8")
-                .decode()
-            )
-            if not NO_LIMIT:
-                # for time limit
-                time.sleep(3)
-        except Exception as e:
-            # TIME LIMIT for open api please pay
-            key_len = self.key.count(",") + 1
-            sleep_time = int(60 / key_len)
-            time.sleep(sleep_time)
-            print(e, f"will sleep  {sleep_time} seconds")
-            openai.api_key = self.get_key(self.key)
-            completion = openai.ChatCompletion.create(
-                model="gpt-3.5-turbo",
-                messages=[
-                    {
-                        "role": "user",
-                        "content": f"Please help me to translate,`{text}` to {self.language}, please return only translated content not include the origin text",
-                    }
-                ],
-            )
-            t_text = (
-                completion["choices"][0]
-                .get("message")
-                .get("content")
-                .encode("utf8")
-                .decode()
-            )
-        print(t_text)
-        return t_text
-
-
-class BEPUB:
-    def __init__(self, epub_name, model, key, resume, language, model_api_base=None):
-        self.epub_name = epub_name
-        self.new_epub = epub.EpubBook()
-        self.translate_model = model(key, language, model_api_base)
-
-        try:
-            self.origin_book = epub.read_epub(self.epub_name)
-        except:
-            # tricky for #71 if you don't know why please check the issue and ignore this
-            # when upstream change will TODO fix this
-            def _load_spine(self):
-                spine = self.container.find(
-                    "{%s}%s" % (epub.NAMESPACES["OPF"], "spine")
-                )
-
-                self.book.spine = [
-                    (t.get("idref"), t.get("linear", "yes")) for t in spine
-                ]
-                self.book.set_direction(spine.get("page-progression-direction", None))
-
-            epub.EpubReader._load_spine = _load_spine
-            self.origin_book = epub.read_epub(self.epub_name)
-
-        self.p_to_save = []
-        self.resume = resume
-        self.bin_path = f"{Path(epub_name).parent}/.{Path(epub_name).stem}.temp.bin"
-        if self.resume:
-            self.load_state()
-
-    @staticmethod
-    def _is_special_text(text):
-        return text.isdigit() or text.isspace()
-
-    def _make_new_book(self, book):
-        new_book = epub.EpubBook()
-        new_book.metadata = book.metadata
-        new_book.spine = book.spine
-        new_book.toc = book.toc
-        return new_book
-
-    def make_bilingual_book(self):
-        new_book = self._make_new_book(self.origin_book)
-        all_items = list(self.origin_book.get_items())
-        all_p_length = sum(
-            0
-            if i.get_type() != ITEM_DOCUMENT
-            else len(bs(i.content, "html.parser").findAll("p"))
-            for i in all_items
-        )
-        pbar = tqdm(total=TEST_NUM) if IS_TEST else tqdm(total=all_p_length)
-        index = 0
-        p_to_save_len = len(self.p_to_save)
-        try:
-            for item in self.origin_book.get_items():
-                if item.get_type() == ITEM_DOCUMENT:
-                    soup = bs(item.content, "html.parser")
-                    p_list = soup.findAll("p")
-                    is_test_done = IS_TEST and index > TEST_NUM
-                    for p in p_list:
-                        if is_test_done or not p.text or self._is_special_text(p.text):
-                            continue
-                        new_p = copy(p)
-                        # TODO banch of p to translate then combine
-                        # PR welcome here
-                        if self.resume and index < p_to_save_len:
-                            new_p.string = self.p_to_save[index]
-                        else:
-                            new_p.string = self.translate_model.translate(p.text)
-                            self.p_to_save.append(new_p.text)
-                        p.insert_after(new_p)
-                        index += 1
-                        if index % 50 == 0:
-                            self._save_progress()
-                        # pbar.update(delta) not pbar.update(index)?
-                        pbar.update(1)
-                        if IS_TEST and index >= TEST_NUM:
-                            break
-                    item.content = soup.prettify().encode()
-                new_book.add_item(item)
-            name, _ = os.path.splitext(self.epub_name)
-            epub.write_epub(f"{name}_bilingual.epub", new_book, {})
-            pbar.close()
-        except (KeyboardInterrupt, Exception) as e:
-            print(e)
-            print("you can resume it next time")
-            self._save_progress()
-            self._save_temp_book()
-            sys.exit(0)
-
-    def load_state(self):
-        try:
-            with open(self.bin_path, "rb") as f:
-                self.p_to_save = pickle.load(f)
-        except:
-            raise Exception("can not load resume file")
-
-    def _save_temp_book(self):
-        origin_book_temp = epub.read_epub(
-            self.epub_name
-        )  # we need a new instance for temp save
-        new_temp_book = self._make_new_book(origin_book_temp)
-        p_to_save_len = len(self.p_to_save)
-        index = 0
-        # items clear
-        try:
-            for item in self.origin_book.get_items():
-                if item.get_type() == ITEM_DOCUMENT:
-                    soup = (
-                        bs(item.content, "xml")
-                        if item.file_name.endswith(".xhtml")
-                        else bs(item.content, "html.parser")
-                    )
-                    p_list = soup.findAll("p")
-                    for p in p_list:
-                        if not p.text or self._is_special_text(p.text):
-                            continue
-                        # TODO banch of p to translate then combine
-                        # PR welcome here
-                        if index < p_to_save_len:
-                            new_p = copy(p)
-                            new_p.string = self.p_to_save[index]
-                            print(new_p.string)
-                            p.insert_after(new_p)
-                            index += 1
-                        else:
-                            break
-                    # for save temp book
-                    item.content = soup.prettify().encode()
-                new_temp_book.add_item(item)
-            name, _ = os.path.splitext(self.epub_name)
-            epub.write_epub(f"{name}_bilingual_temp.epub", new_temp_book, {})
-        except Exception as e:
-            # TODO handle it
-            print(e)
-
-    def _save_progress(self):
-        try:
-            with open(self.bin_path, "wb") as f:
-                pickle.dump(self.p_to_save, f)
-        except:
-            raise Exception("can not save resume file")
-
 
 if __name__ == "__main__":
-    MODEL_DICT = {"gpt3": GPT3, "chatgpt": ChatGPT}
+    main()
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--book_name",
-        dest="book_name",
-        type=str,
-        help="your epub book file path",
-    )
-    parser.add_argument(
-        "--openai_key",
-        dest="openai_key",
-        type=str,
-        default="",
-        help="openai api key,if you have more than one key,you can use comma"
-        " to split them and you can break through the limitation",
-    )
-    parser.add_argument(
-        "--no_limit",
-        dest="no_limit",
-        action="store_true",
-        help="If you are a paying customer you can add it",
-    )
-    parser.add_argument(
-        "--test",
-        dest="test",
-        action="store_true",
-        help="if test we only translat 10 contents you can easily check",
-    )
-    parser.add_argument(
-        "--test_num",
-        dest="test_num",
-        type=int,
-        default=10,
-        help="test num for the test",
-    )
-    parser.add_argument(
-        "-m",
-        "--model",
-        dest="model",
-        type=str,
-        default="chatgpt",
-        choices=["chatgpt", "gpt3"],  # support DeepL later
-        metavar="MODEL",
-        help="Which model to use, available: {%(choices)s}",
-    )
-    parser.add_argument(
-        "--language",
-        type=str,
-        choices=sorted(LANGUAGES.keys())
-        + sorted([k.title() for k in TO_LANGUAGE_CODE.keys()]),
-        default="zh-hans",
-        metavar="LANGUAGE",
-        help="language to translate to, available: {%(choices)s}",
-    )
-    parser.add_argument(
-        "--resume",
-        dest="resume",
-        action="store_true",
-        help="if program accidentally stop you can use this to resume",
-    )
-    parser.add_argument(
-        "-p",
-        "--proxy",
-        dest="proxy",
-        type=str,
-        default="",
-        help="use proxy like http://127.0.0.1:7890",
-    )
-    # args to change api_base
-    parser.add_argument(
-        "--api_base",
-        dest="api_base",
-        type=str,
-        help="replace base url from openapi",
-    )
-
-    options = parser.parse_args()
-    NO_LIMIT = options.no_limit
-    IS_TEST = options.test
-    TEST_NUM = options.test_num
-    PROXY = options.proxy
-    if PROXY != "":
-        os.environ["http_proxy"] = PROXY
-        os.environ["https_proxy"] = PROXY
-
-    OPENAI_API_KEY = options.openai_key or env.get("OPENAI_API_KEY")
-    RESUME = options.resume
-    if not OPENAI_API_KEY:
-        raise Exception("Need openai API key, please google how to")
-    if not options.book_name.lower().endswith(".epub"):
-        raise Exception("please use epub file")
-    model = MODEL_DICT.get(options.model, "chatgpt")
-    language = options.language
-    if options.language in LANGUAGES:
-        # use the value for prompt
-        language = LANGUAGES.get(language, language)
-
-    # change api_base for issue #42
-    model_api_base = options.api_base
-    e = BEPUB(
-        options.book_name,
-        model,
-        OPENAI_API_KEY,
-        RESUME,
-        language=language,
-        model_api_base=model_api_base,
-    )
-    e.make_bilingual_book()