Upload 2 files

force provider work, more providers.

models_for_langchain/model.py

@@ -14,8 +14,17 @@ from g4f.Provider import (
     H2o,
     ChatgptLogin,
     DeepAi,
-    GetGpt
+    GetGpt,
+    AItianhu,
+    EasyChat,
+    Acytoo,
+    DfeHub,
+    AiService,
+    BingHuan,
+    Wewordle,
+    ChatgptAi,
 )
+from g4f import Provider
 import g4f
 from langchain.callbacks.manager import CallbackManagerForLLMRun
 from langchain.llms.base import LLM
@@ -34,9 +43,21 @@ provider_dict = {
     'H2o': H2o,
     'ChatgptLogin': ChatgptLogin,
     'DeepAi': DeepAi,
-    'GetGpt': GetGpt
+    'GetGpt': GetGpt,
+    'AItianhu': AItianhu,
+    'EasyChat': EasyChat,
+    'Acytoo': Acytoo,
+    'DfeHub': DfeHub,
+    'AiService': AiService,
+    'BingHuan': BingHuan,
+    'Wewordle': Wewordle,
+    'ChatgptAi': ChatgptAi,
+}
+provider_auth_settings = {
+    'Bard':{
+        'cookie':""
+    }
 }
-
 class CustomLLM(LLM):
     model_name: str="gpt-3.5-turbo"
     provider_name: str="GetGpt"
@@ -52,13 +73,15 @@ class CustomLLM(LLM):
         model_name = 'gpt-3.5-turbo',
         provider = GetGpt
     ) -> str:
-        if stop is not None:
-            raise ValueError("stop kwargs are not permitted.")
+        # if stop is not None:
+        #     raise ValueError("stop kwargs are not permitted.")
+        provider_llm = getattr(Provider, self.provider_name)
+        provider_llm.working = True
         bot_msg = g4f.ChatCompletion.create(model=self.model_name, 
                                             provider=provider_dict[self.provider_name], 
                                             messages=[{"role": "user", 
                                                         "content": prompt}],
-                                            stream=False)
+                                            stream=False,auth=provider_auth_settings['provider'] if provider_llm.needs_auth else None)
         return bot_msg
 
     @property