gpt4free/g4f/Provider/deprecated/Myshell.py

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2023-10-16 02:47:10 +03:00
# not using WS anymore
from __future__ import annotations
import json, uuid, hashlib, time, random
from aiohttp import ClientSession
from aiohttp.http import WSMsgType
import asyncio
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from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider, format_prompt
models = {
"samantha": "1e3be7fe89e94a809408b1154a2ee3e1",
"gpt-3.5-turbo": "8077335db7cd47e29f7de486612cc7fd",
"gpt-4": "01c8de4fbfc548df903712b0922a4e01",
}
class Myshell(AsyncGeneratorProvider):
url = "https://app.myshell.ai/chat"
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working = False
supports_gpt_35_turbo = True
supports_gpt_4 = True
@classmethod
async def create_async_generator(
cls,
model: str,
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messages: Messages,
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proxy: str = None,
timeout: int = 90,
**kwargs
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) -> AsyncResult:
if not model:
bot_id = models["samantha"]
elif model in models:
bot_id = models[model]
else:
raise ValueError(f"Model are not supported: {model}")
user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36'
visitor_id = generate_visitor_id(user_agent)
async with ClientSession(
headers={'User-Agent': user_agent}
) as session:
async with session.ws_connect(
"wss://api.myshell.ai/ws/?EIO=4&transport=websocket",
autoping=False,
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timeout=timeout,
proxy=proxy
) as wss:
# Send and receive hello message
await wss.receive_str()
message = json.dumps({"token": None, "visitorId": visitor_id})
await wss.send_str(f"40/chat,{message}")
await wss.receive_str()
# Fix "need_verify_captcha" issue
await asyncio.sleep(5)
# Create chat message
text = format_prompt(messages)
chat_data = json.dumps(["text_chat",{
"reqId": str(uuid.uuid4()),
"botUid": bot_id,
"sourceFrom": "myshellWebsite",
"text": text,
**generate_signature(text)
}])
# Send chat message
chat_start = "42/chat,"
chat_message = f"{chat_start}{chat_data}"
await wss.send_str(chat_message)
# Receive messages
async for message in wss:
if message.type != WSMsgType.TEXT:
continue
# Ping back
if message.data == "2":
await wss.send_str("3")
continue
# Is not chat message
if not message.data.startswith(chat_start):
continue
data_type, data = json.loads(message.data[len(chat_start):])
if data_type == "text_stream":
if data["data"]["text"]:
yield data["data"]["text"]
elif data["data"]["isFinal"]:
break
elif data_type in ("message_replied", "need_verify_captcha"):
raise RuntimeError(f"Received unexpected message: {data_type}")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
def generate_timestamp() -> str:
return str(
int(
str(int(time.time() * 1000))[:-1]
+ str(
sum(
2 * int(digit)
if idx % 2 == 0
else 3 * int(digit)
for idx, digit in enumerate(str(int(time.time() * 1000))[:-1])
)
% 10
)
)
)
def generate_signature(text: str):
timestamp = generate_timestamp()
version = 'v1.0.0'
secret = '8@VXGK3kKHr!u2gA'
data = f"{version}#{text}#{timestamp}#{secret}"
signature = hashlib.md5(data.encode()).hexdigest()
signature = signature[::-1]
return {
"signature": signature,
"timestamp": timestamp,
"version": version
}
def xor_hash(B: str):
r = []
i = 0
def o(e, t):
o_val = 0
for i in range(len(t)):
o_val |= r[i] << (8 * i)
return e ^ o_val
for e in range(len(B)):
t = ord(B[e])
r.insert(0, 255 & t)
if len(r) >= 4:
i = o(i, r)
r = []
if len(r) > 0:
i = o(i, r)
return hex(i)[2:]
def performance() -> str:
t = int(time.time() * 1000)
e = 0
while t == int(time.time() * 1000):
e += 1
return hex(t)[2:] + hex(e)[2:]
def generate_visitor_id(user_agent: str) -> str:
f = performance()
r = hex(int(random.random() * (16**16)))[2:-2]
d = xor_hash(user_agent)
e = hex(1080 * 1920)[2:]
return f"{f}-{r}-{d}-{e}-{f}"