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-rw-r--r--g4f/Provider/Aivvm.py39
1 files changed, 12 insertions, 27 deletions
diff --git a/g4f/Provider/Aivvm.py b/g4f/Provider/Aivvm.py
index 1ba6d6f1..c4ec677c 100644
--- a/g4f/Provider/Aivvm.py
+++ b/g4f/Provider/Aivvm.py
@@ -1,8 +1,8 @@
from __future__ import annotations
-import requests
-from .base_provider import BaseProvider
-from ..typing import CreateResult
+from ..requests import StreamSession
+from .base_provider import AsyncGeneratorProvider
+from ..typing import AsyncGenerator
# to recreate this easily, send a post request to https://chat.aivvm.com/api/models
models = {
@@ -16,7 +16,7 @@ models = {
'gpt-4-32k-0613': {'id': 'gpt-4-32k-0613', 'name': 'GPT-4-32K-0613'},
}
-class Aivvm(BaseProvider):
+class Aivvm(AsyncGeneratorProvider):
url = 'https://chat.aivvm.com'
supports_stream = True
working = True
@@ -24,31 +24,18 @@ class Aivvm(BaseProvider):
supports_gpt_4 = True
@classmethod
- def create_completion(cls,
+ async def create_async_generator(
+ cls,
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs
- ) -> CreateResult:
+ ) -> AsyncGenerator:
if not model:
model = "gpt-3.5-turbo"
elif model not in models:
raise ValueError(f"Model is not supported: {model}")
- headers = {
- "accept" : "*/*",
- "accept-language" : "hu-HU,hu;q=0.9,en-US;q=0.8,en;q=0.7",
- "content-type" : "application/json",
- "sec-ch-ua" : "\"Kuki\";v=\"116\", \"Not)A;Brand\";v=\"24\", \"Pici Pocoro\";v=\"102\"",
- "sec-ch-ua-mobile" : "?0",
- "sec-ch-ua-platform": "\"Bandóz\"",
- "sec-fetch-dest" : "empty",
- "sec-fetch-mode" : "cors",
- "sec-fetch-site" : "same-origin",
- "Referer" : "https://chat.aivvm.com/",
- "Referrer-Policy" : "same-origin",
- }
-
json_data = {
"model" : models[model],
"messages" : messages,
@@ -56,13 +43,11 @@ class Aivvm(BaseProvider):
"prompt" : kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown."),
"temperature" : kwargs.get("temperature", 0.7)
}
-
- response = requests.post(
- "https://chat.aivvm.com/api/chat", headers=headers, json=json_data, stream=True)
- response.raise_for_status()
-
- for chunk in response.iter_content(chunk_size=None):
- yield chunk.decode('utf-8')
+ async with StreamSession(impersonate="chrome107") as session:
+ async with session.post(f"{cls.url}/api/chat", json=json_data) as response:
+ response.raise_for_status()
+ async for chunk in response.iter_content():
+ yield chunk.decode()
@classmethod
@property