121 lines
3.8 KiB
Python
121 lines
3.8 KiB
Python
from server.model_workers.base import ApiModelWorker
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from fastchat import conversation as conv
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import sys
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import json
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import requests
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from typing import List, Literal
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MODEL_VERSIONS = {
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"ernie-bot": "completions",
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"ernie-bot-turbo": "eb-instant"
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}
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class ErnieWorker(ApiModelWorker):
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"""
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百度 Ernie
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"""
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BASE_URL = 'https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat'\
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'/{model_version}?access_token={access_token}'
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SUPPORT_MODELS = list(MODEL_VERSIONS.keys())
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def __init__(
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self,
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*,
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version: Literal["ernie-bot", "ernie-bot-turbo"] = "ernie-bot",
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model_names: List[str] = ["ernie-api"],
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controller_addr: str,
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worker_addr: str,
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**kwargs,
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):
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kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
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kwargs.setdefault("context_len", 16384)
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super().__init__(**kwargs)
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# TODO: 确认模板是否需要修改
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self.conv = conv.Conversation(
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name=self.model_names[0],
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system_message="",
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messages=[],
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roles=["user", "assistant"],
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sep="\n### ",
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stop_str="###",
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)
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config = self.get_config()
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self.version = version
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self.api_key = config.get("api_key")
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self.secret_key = config.get("secret_key")
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self.access_token = self.get_access_token()
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def get_access_token(self):
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"""
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使用 API Key，Secret Key 获取access_token，替换下列示例中的应用API Key、应用Secret Key
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"""
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url = f"https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials"\
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f"&client_id={self.api_key}"\
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f"&client_secret={self.secret_key}"
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payload = json.dumps("")
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headers = {
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'Content-Type': 'application/json',
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'Accept': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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return response.json().get("access_token")
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def generate_stream_gate(self, params):
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url = self.BASE_URL.format(
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model_version=MODEL_VERSIONS[self.version],
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access_token=self.access_token
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)
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payload = json.dumps({
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"messages": self.prompt_to_messages(params["prompt"]),
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"stream": True
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})
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headers = {
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'Content-Type': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload, stream=True)
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text=""
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for line in response.iter_lines():
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if line.decode("utf-8").startswith("data: "): # 真是优秀的返回
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resp = json.loads(line.decode("utf-8")[6:])
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if "result" in resp.keys():
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text += resp["result"]
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yield json.dumps({
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"error_code": 0,
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"text": text
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},
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ensure_ascii=False
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).encode() + b"\0"
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else:
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yield json.dumps({
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"error_code": resp["error_code"],
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"text": resp["error_msg"]
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},
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ensure_ascii=False
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).encode() + b"\0"
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def get_embeddings(self, params):
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# TODO: 支持embeddings
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print("embedding")
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print(params)
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if __name__ == "__main__":
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import uvicorn
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from server.utils import MakeFastAPIOffline
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from fastchat.serve.model_worker import app
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worker = EnrieWorker(
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controller_addr="http://127.0.0.1:20001",
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worker_addr="http://127.0.0.1:20003",
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)
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sys.modules["fastchat.serve.model_worker"].worker = worker
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MakeFastAPIOffline(app)
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uvicorn.run(app, port=20003) |