3 files changed, 16 insertions, 34 deletions

diff --git a/g4f/Provider/FreeChatgpt.py b/g4f/Provider/FreeChatgpt.py
index 0f993690..8981ef79 100644
--- a/g4f/Provider/FreeChatgpt.py
+++ b/g4f/Provider/FreeChatgpt.py
@@ -4,24 +4,13 @@ import json, random
 from aiohttp import ClientSession
 
 from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 
-models = {
-    "claude-v2": "claude-2.0",
-    "claude-v2.1":"claude-2.1",
-    "gemini-pro": "google-gemini-pro"
-}
-urls = [
-    "https://free.chatgpt.org.uk",
-    "https://ai.chatgpt.org.uk"
-]
-
-class FreeChatgpt(AsyncGeneratorProvider):
+class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://free.chatgpt.org.uk"
     working = True
-    supports_gpt_35_turbo = True
-    supports_gpt_4 = True
     supports_message_history = True
+    default_model = "google-gemini-pro"
 
     @classmethod
     async def create_async_generator(
@@ -31,11 +20,6 @@ class FreeChatgpt(AsyncGeneratorProvider):
         proxy: str = None,
         **kwargs
     ) -> AsyncResult:
-        if model in models:
-            model = models[model]
-        elif not model:
-            model = "gpt-3.5-turbo"
-        url = random.choice(urls)
         headers = {
             "Accept": "application/json, text/event-stream",
             "Content-Type":"application/json",
@@ -51,16 +35,15 @@ class FreeChatgpt(AsyncGeneratorProvider):
         }
         async with ClientSession(headers=headers) as session:
             data = {
-                "messages":messages,
-                "stream":True,
-                "model":model,
-                "temperature":0.5,
-                "presence_penalty":0,
-                "frequency_penalty":0,
-                "top_p":1,
-                **kwargs
+                "messages": messages,
+                "stream": True,
+                "model": cls.get_model(""),
+                "temperature": kwargs.get("temperature", 0.5),
+                "presence_penalty": kwargs.get("presence_penalty", 0),
+                "frequency_penalty": kwargs.get("frequency_penalty", 0),
+                "top_p": kwargs.get("top_p", 1)
             }
-            async with session.post(f'{url}/api/openai/v1/chat/completions', json=data, proxy=proxy) as response:
+            async with session.post(f'{cls.url}/api/openai/v1/chat/completions', json=data, proxy=proxy) as response:
                 response.raise_for_status()
                 started = False
                 async for line in response.content:
diff --git a/g4f/Provider/GeminiProChat.py b/g4f/Provider/GeminiProChat.py
index 488f5f0e..8b8fc5dc 100644
--- a/g4f/Provider/GeminiProChat.py
+++ b/g4f/Provider/GeminiProChat.py
@@ -11,7 +11,6 @@ from .base_provider import AsyncGeneratorProvider
 class GeminiProChat(AsyncGeneratorProvider):
     url = "https://gemini-chatbot-sigma.vercel.app"
     working = True
-    supports_gpt_35_turbo = True
 
     @classmethod
     async def create_async_generator(
diff --git a/g4f/models.py b/g4f/models.py
index f5951a29..bf58ff25 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -99,31 +99,31 @@ gpt_4_turbo = Model(
 
 llama2_7b = Model(
     name          = "meta-llama/Llama-2-7b-chat-hf",
-    base_provider = 'huggingface',
+    base_provider = 'meta',
     best_provider = RetryProvider([Llama2, DeepInfra])
 )
 
 llama2_13b = Model(
     name          = "meta-llama/Llama-2-13b-chat-hf",
-    base_provider = 'huggingface',
+    base_provider = 'meta',
     best_provider = RetryProvider([Llama2, DeepInfra])
 )
 
 llama2_70b = Model(
     name          = "meta-llama/Llama-2-70b-chat-hf",
-    base_provider = "huggingface",
+    base_provider = "meta",
     best_provider = RetryProvider([Llama2, DeepInfra, HuggingChat, PerplexityLabs])
 )
 
 codellama_34b_instruct = Model(
     name          = "codellama/CodeLlama-34b-Instruct-hf",
-    base_provider = "huggingface",
+    base_provider = "meta",
     best_provider = RetryProvider([HuggingChat, PerplexityLabs, DeepInfra])
 )
 
 codellama_70b_instruct = Model(
     name          = "codellama/CodeLlama-70b-Instruct-hf",
-    base_provider = "huggingface",
+    base_provider = "meta",
     best_provider = DeepInfra
 )