some more things

g4f/models.py

@@ -24,12 +24,14 @@ from .Provider   import (
     ChatgptDuo,
 )
 
+
 @dataclass(unsafe_hash=True)
 class Model:
     name: str
     base_provider: str
     best_provider: Union[type[BaseProvider], RetryProvider] = None
 
+
 # Config for HuggingChat, OpenAssistant
 # Works for Liaobots, H2o, OpenaiChat, Yqcloud, You
 default = Model(
@@ -219,9 +221,11 @@ class ModelUtils:
         # gpt-3.5 / gpt-4
         'gpt-3.5-turbo': gpt_35_turbo,
         'gpt-3.5-turbo-16k': gpt_35_turbo_16k,
+        'gpt-3.5-turbo-16k-0613': gpt_35_turbo_16k_0613,
         'gpt-4': gpt_4,
         'gpt-4-0613': gpt_4_0613,
-        'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
+        'gpt-4-32k': gpt_4_32k,
+        'gpt-4-32k-0613': gpt_4_32k_0613,
 
         # Bard
         'palm2': palm,

testing/test_chat_completion.py

@@ -7,19 +7,20 @@ import g4f, asyncio
 
 print("create:", end=" ", flush=True)
 for response in g4f.ChatCompletion.create(
-    model=g4f.models.gpt_4,
-    provider=g4f.Provider.Vercel,
-    messages=[{"role": "user", "content": "hello!"}],
+    model=g4f.models.gpt_4_32k_0613,
+    provider=g4f.Provider.Aivvm,
+    messages=[{"role": "user", "content": "send a bunch of emojis. i want to test something"}],
+    temperature=0.0,
+    stream=True
 ):
     print(response, end="", flush=True)
 print()
 
 async def run_async():
     response = await g4f.ChatCompletion.create_async(
-        model=g4f.models.gpt_4_32k_0613,
+        model=g4f.models.gpt_35_turbo_16k_0613,
         provider=g4f.Provider.Aivvm,
         messages=[{"role": "user", "content": "hello!"}],
-        temperature=0.0
     )
     print("create_async:", response)