File size: 4,972 Bytes
da27d7f 6cede14 da27d7f adc1c3b da27d7f fc56e40 da27d7f e583657 da27d7f e583657 da27d7f e583657 da27d7f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 |
import argparse
import os
import sys
import uvicorn
import traceback
from fastapi import FastAPI, Depends
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel, Field
from sse_starlette.sse import EventSourceResponse, ServerSentEvent
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
class ChatAPIApp:
def __init__(self):
self.app = FastAPI(
docs_url="/",
title="HuggingFace LLM API",
swagger_ui_parameters={"defaultModelsExpandDepth": -1},
version="1.0",
)
self.setup_routes()
def get_available_models(self):
# ANCHOR[id=available-models]: Available models
self.available_models = [
{
"id": "mixtral-8x7b",
"description": "[mistralai/Mixtral-8x7B-Instruct-v0.1]: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1",
},
{
"id": "mistral-7b",
"description": "[mistralai/Mistral-7B-Instruct-v0.2]: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2"
},
{
"id": "openchat-3.5",
"description": "[openchat/openchat-3.5-1210]: https://huggingface.co/openchat/openchat-3.5-1210",
},
]
return self.available_models
def extract_api_key(
credentials: HTTPAuthorizationCredentials = Depends(
HTTPBearer(auto_error=False)
),
):
if credentials:
return credentials.credentials
else:
return os.getenv("HF_TOKEN") or None
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: float = Field(
default=0.01,
description="(float) Temperature",
)
max_tokens: int = Field(
default=4096,
description="(int) Max tokens",
)
stream: bool = Field(
default=False,
description="(bool) Stream",
)
def chat_completions(
self, item: ChatCompletionsPostItem, api_key: str = Depends(extract_api_key)
):
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,
max_new_tokens=item.max_tokens,
api_key=api_key,
)
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"]:
self.app.get(
prefix + "/models",
summary="Get available models",
)(self.get_available_models)
self.app.post(
prefix + "/chat/completions",
summary="Chat completions in conversation session",
)(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=23333,
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)
# python -m apis.chat_api # [Docker] on product mode
# python -m apis.chat_api -d # [Dev] on develop mode
|