chatgpt4 / apis /chat_api.py
Yarik
Initial commit
de9ce4c
import argparse
import markdown2
import os
import sys
import uvicorn
from pathlib import Path
from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from fastapi.responses import HTMLResponse
from pydantic import BaseModel, Field
from typing import Union
from sse_starlette.sse import EventSourceResponse, ServerSentEvent
from passlib.context import CryptContext
from utils.logger import logger
from networks.message_streamer import MessageStreamer
from messagers.message_composer import MessageComposer
from mocks.stream_chat_mocker import stream_chat_mock
# Create FastAPI app
app = FastAPI(docs_url=None, redoc_url=None)
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
class Auth(BaseModel):
api_key: str
password: str
# Password hashing context
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
def get_password_hash(password):
return pwd_context.hash(password)
def verify_password(plain_password, hashed_password):
return pwd_context.verify(plain_password, hashed_password)
# Fetch API key and password from environment variables
api_key = os.getenv("XCHE_API_KEY")
password = os.getenv("XCHE_PASSWORD")
# Pre-hash the password and store it in a fake database
fake_data_db = {
api_key: {
"api_key": api_key,
"password": get_password_hash(password) # Pre-hashed password
}
}
def get_api_key(db, api_key: str):
if api_key in db:
api_dict = db[api_key]
return Auth(**api_dict)
def authenticate(fake_db, api_key: str, password: str):
api_data = get_api_key(fake_db, api_key)
if not api_data:
return False
if not verify_password(password, api_data.password):
return False
return api_data
@app.post("/token")
async def login(form_data: OAuth2PasswordRequestForm = Depends()):
api_data = authenticate(fake_data_db, form_data.username, form_data.password)
if not api_data:
raise HTTPException(
status_code=400,
detail="Incorrect API KEY or Password",
headers={"WWW-Authenticate": "Bearer"},
)
return {"access_token": api_data.api_key, "token_type": "bearer"}
def check_api_token(token: str = Depends(oauth2_scheme)):
api_data = get_api_key(fake_data_db, token)
if not api_data:
raise HTTPException(status_code=403, detail="Invalid or missing API Key")
return api_data
class ChatAPIApp:
def __init__(self):
self.app = app
self.setup_routes()
# "mixtral-8x7b"
# "mistral - 7b"
# "nous-mixtral-8x7b"
# "zephyr-7b-beta"
# "starchat2-15b-v0.1"
class ChatCompletionsPostItem(BaseModel):
model: str = Field(
default="mixtral-8x7b",
description="(str) `mixtral-8x7b`",
)
messages: list = Field(
default=[{"role": "user", "content": "Hello, who are you?"}],
description="(list) Messages",
)
temperature: Union[float, None] = Field(
default=0.5,
description="(float) Temperature",
)
top_p: Union[float, None] = Field(
default=0.95,
description="(float) top p",
)
max_tokens: Union[int, None] = Field(
default=-1,
description="(int) Max tokens",
)
use_cache: bool = Field(
default=False,
description="(bool) Use cache",
)
stream: bool = Field(
default=True,
description="(bool) Stream",
)
def chat_completions(self, item: ChatCompletionsPostItem):
streamer = MessageStreamer(model=item.model)
composer = MessageComposer(model=item.model)
composer.merge(messages=item.messages)
# streamer.chat = stream_chat_mock
stream_response = streamer.chat_response(
prompt=composer.merged_str,
temperature=item.temperature,
top_p=item.top_p,
max_new_tokens=item.max_tokens,
use_cache=item.use_cache,
)
if item.stream:
event_source_response = EventSourceResponse(
streamer.chat_return_generator(stream_response),
media_type="text/event-stream",
ping=2000,
ping_message_factory=lambda: ServerSentEvent(**{"comment": ""}),
)
return event_source_response
else:
data_response = streamer.chat_return_dict(stream_response)
return data_response
def setup_routes(self):
for prefix in ["", "/v1", "/api", "/api/v1"]:
if prefix == "/api/v1":
include_in_schema = True
else:
include_in_schema = False
self.app.post(
prefix + "/chat/completions",
summary="Chat completions in conversation session",
include_in_schema=include_in_schema,
)(self.chat_completions)
class ArgParser(argparse.ArgumentParser):
def __init__(self, *args, **kwargs):
super(ArgParser, self).__init__(*args, **kwargs)
self.add_argument(
"-s",
"--server",
type=str,
default="0.0.0.0",
help="Server IP for HF LLM Chat API",
)
self.add_argument(
"-p",
"--port",
type=int,
default=7860,
help="Server Port for HF LLM Chat API",
)
self.add_argument(
"-d",
"--dev",
default=False,
action="store_true",
help="Run in dev mode",
)
self.args = self.parse_args(sys.argv[1:])
app = ChatAPIApp().app
if __name__ == "__main__":
args = ArgParser().args
if args.dev:
uvicorn.run("__main__:app", host=args.server, port=args.port, reload=True)
else:
uvicorn.run("__main__:app", host=args.server, port=args.port, reload=False)