feat: support model gpt4o-mini (#419)

book_maker/cli.py

@@ -312,7 +312,7 @@ So you are close to reaching the limit. You have to choose your own value, there
     translate_model = MODEL_DICT.get(options.model)
     assert translate_model is not None, "unsupported model"
     API_KEY = ""
-    if options.model in ["openai", "chatgptapi", "gpt4"]:
+    if options.model in ["openai", "chatgptapi", "gpt4", "gpt4omini"]:
         if OPENAI_API_KEY := (
             options.openai_key
             or env.get(
@@ -429,6 +429,7 @@ So you are close to reaching the limit. You have to choose your own value, there
         assert options.model in [
             "chatgptapi",
             "gpt4",
+            "gpt4omini",
         ], "only support chatgptapi for deployment_id"
         if not options.api_base:
             raise ValueError("`api_base` must be provided when using `deployment_id`")
@@ -439,7 +440,7 @@ So you are close to reaching the limit. You have to choose your own value, there
             e.translate_model.set_model_list(options.model_list.split(","))
         else:
             raise ValueError(
-                "When using `openai` model, you must also provide `--model_list`. For default model sets use `--model chatgptapi` or `--model gpt4`",
+                "When using `openai` model, you must also provide `--model_list`. For default model sets use `--model chatgptapi` or `--model gpt4` or `--model gpt4omini`",
             )
     # TODO refactor, quick fix for gpt4 model
     if options.model == "chatgptapi":
@@ -449,6 +450,8 @@ So you are close to reaching the limit. You have to choose your own value, there
             e.translate_model.set_gpt35_models()
     if options.model == "gpt4":
         e.translate_model.set_gpt4_models()
+    if options.model == "gpt4omini":
+        e.translate_model.set_gpt4omini_models()
     if options.block_size > 0:
         e.block_size = options.block_size
 

book_maker/translator/__init__.py

@@ -13,6 +13,7 @@ MODEL_DICT = {
     "openai": ChatGPTAPI,
     "chatgptapi": ChatGPTAPI,
     "gpt4": ChatGPTAPI,
+    "gpt4omini": ChatGPTAPI,
     "google": Google,
     "caiyun": Caiyun,
     "deepl": DeepL,

book_maker/translator/chatgptapi_translator.py

@@ -32,6 +32,11 @@ GPT4_MODEL_LIST = [
     "gpt-4-32k-0613",
 ]
 
+GPT4oMINI_MODEL_LIST = [
+    "gpt-4o-mini",
+    "gpt-4o-mini-2024-07-18",
+]
+
 
 class ChatGPTAPI(Base):
     DEFAULT_PROMPT = "Please help me to translate,`{text}` to {language}, please return only translated content not include the origin text"
@@ -335,6 +340,18 @@ class ChatGPTAPI(Base):
             print(f"Using model list {model_list}")
             self.model_list = cycle(model_list)
 
+    def set_gpt4omini_models(self):
+        # for issue #375 azure can not use model list
+        if self.deployment_id:
+            self.model_list = cycle(["gpt-4o-mini"])
+        else:
+            my_model_list = [
+                i["id"] for i in self.openai_client.models.list().model_dump()["data"]
+            ]
+            model_list = list(set(my_model_list) & set(GPT4oMINI_MODEL_LIST))
+            print(f"Using model list {model_list}")
+            self.model_list = cycle(model_list)
+
     def set_model_list(self, model_list):
         model_list = list(set(model_list))
         print(f"Using model list {model_list}")

docs/model_lang.md

@@ -2,7 +2,7 @@
 ## Models
 `-m, --model <Model>` <br>
 
-Currently `bbook_maker` supports these models: `chatgptapi` , `gpt3` , `google` , `caiyun` , `deepl` , `deeplfree` , `gpt4` , `claude` , `customapi`.
+Currently `bbook_maker` supports these models: `chatgptapi` , `gpt3` , `google` , `caiyun` , `deepl` , `deeplfree` , `gpt4` , `gpt4omini` , `claude` , `customapi`.
 Default model is `chatgptapi` . 
 
 ### OPENAI models