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authorkqlio67 <kqlio67@users.noreply.github.com>2024-09-06 22:19:18 +0200
committerkqlio67 <kqlio67@users.noreply.github.com>2024-09-06 22:19:18 +0200
commitb3950ae6638ce483e985a02afbd7e442136e2baa (patch)
tree9a226fa2f0f841beac4b26481b6af8d150955537 /g4f
parentAdding a new provider Binjie (diff)
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Diffstat (limited to 'g4f')
-rw-r--r--g4f/Provider/Free2GPT.py77
-rw-r--r--g4f/Provider/__init__.py3
-rw-r--r--g4f/models.py4
3 files changed, 82 insertions, 2 deletions
diff --git a/g4f/Provider/Free2GPT.py b/g4f/Provider/Free2GPT.py
new file mode 100644
index 00000000..a79bd1da
--- /dev/null
+++ b/g4f/Provider/Free2GPT.py
@@ -0,0 +1,77 @@
+from __future__ import annotations
+
+import time
+from hashlib import sha256
+
+from aiohttp import BaseConnector, ClientSession
+
+from ..errors import RateLimitError
+from ..requests import raise_for_status
+from ..requests.aiohttp import get_connector
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+
+
+class Free2GPT(AsyncGeneratorProvider, ProviderModelMixin):
+ url = "https://chat10.free2gpt.xyz"
+ working = True
+ supports_message_history = True
+ default_model = 'llama-3.1-70b'
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ connector: BaseConnector = None,
+ **kwargs,
+ ) -> AsyncResult:
+ headers = {
+ "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
+ "Accept": "*/*",
+ "Accept-Language": "en-US,en;q=0.9",
+ "Accept-Encoding": "gzip, deflate, br",
+ "Content-Type": "text/plain;charset=UTF-8",
+ "Referer": f"{cls.url}/",
+ "Origin": cls.url,
+ "Sec-Fetch-Dest": "empty",
+ "Sec-Fetch-Mode": "cors",
+ "Sec-Fetch-Site": "same-origin",
+ "Sec-Ch-Ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
+ "Sec-Ch-Ua-Mobile": "?0",
+ "Sec-Ch-Ua-Platform": '"Linux"',
+ "Cache-Control": "no-cache",
+ "Pragma": "no-cache",
+ "Priority": "u=1, i",
+ }
+ async with ClientSession(
+ connector=get_connector(connector, proxy), headers=headers
+ ) as session:
+ timestamp = int(time.time() * 1e3)
+ system_message = {
+ "role": "system",
+ "content": ""
+ }
+ data = {
+ "messages": [system_message] + messages,
+ "time": timestamp,
+ "pass": None,
+ "sign": generate_signature(timestamp, messages[-1]["content"]),
+ }
+ async with session.post(
+ f"{cls.url}/api/generate", json=data, proxy=proxy
+ ) as response:
+ if response.status == 500:
+ if "Quota exceeded" in await response.text():
+ raise RateLimitError(
+ f"Response {response.status}: Rate limit reached"
+ )
+ await raise_for_status(response)
+ async for chunk in response.content.iter_any():
+ yield chunk.decode(errors="ignore")
+
+
+def generate_signature(time: int, text: str, secret: str = ""):
+ message = f"{time}:{text}:{secret}"
+ return sha256(message.encode()).hexdigest()
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 8fe8cfad..a3126ddb 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -16,7 +16,7 @@ from .AiChats import AiChats
from .Aura import Aura
from .Bing import Bing
from .BingCreateImages import BingCreateImages
-from .Binjie import Binjie
+from .Binjie import Binjie
from .Bixin123 import Bixin123
from .Blackbox import Blackbox
from .ChatGot import ChatGot
@@ -29,6 +29,7 @@ from .DeepInfra import DeepInfra
from .DeepInfraImage import DeepInfraImage
from .FlowGpt import FlowGpt
from .FluxAirforce import FluxAirforce
+from .Free2GPT import Free2GPT
from .FreeChatgpt import FreeChatgpt
from .FreeGpt import FreeGpt
from .FreeNetfly import FreeNetfly
diff --git a/g4f/models.py b/g4f/models.py
index 61350d91..7b42165b 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -19,6 +19,7 @@ from .Provider import (
DeepInfra,
DeepInfraImage,
FluxAirforce,
+ Free2GPT,
FreeChatgpt,
FreeGpt,
FreeNetfly,
@@ -86,6 +87,7 @@ default = Model(
Blackbox,
Bixin123,
Binjie,
+ Free2GPT,
])
)
@@ -182,7 +184,7 @@ llama_3_1_8b = Model(
llama_3_1_70b = Model(
name = "llama-3.1-70b",
base_provider = "Meta",
- best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, TeachAnything, HuggingFace])
+ best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, TeachAnything, Free2GPT, HuggingFace])
)
llama_3_1_405b = Model(