Spaces:
Runtime error
Runtime error
File size: 3,754 Bytes
d245958 |
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 |
from http import HTTPStatus
from toolbox import get_conf
import threading
import logging
timeout_bot_msg = '[Local Message] Request timeout. Network error.'
class QwenRequestInstance():
def __init__(self):
import dashscope
self.time_to_yield_event = threading.Event()
self.time_to_exit_event = threading.Event()
self.result_buf = ""
def validate_key():
DASHSCOPE_API_KEY = get_conf("DASHSCOPE_API_KEY")
if DASHSCOPE_API_KEY == '': return False
return True
if not validate_key():
raise RuntimeError('请配置 DASHSCOPE_API_KEY')
dashscope.api_key = get_conf("DASHSCOPE_API_KEY")
def generate(self, inputs, llm_kwargs, history, system_prompt):
# import _thread as thread
from dashscope import Generation
QWEN_MODEL = {
'qwen-turbo': Generation.Models.qwen_turbo,
'qwen-plus': Generation.Models.qwen_plus,
'qwen-max': Generation.Models.qwen_max,
}[llm_kwargs['llm_model']]
top_p = llm_kwargs.get('top_p', 0.8)
if top_p == 0: top_p += 1e-5
if top_p == 1: top_p -= 1e-5
self.result_buf = ""
responses = Generation.call(
model=QWEN_MODEL,
messages=generate_message_payload(inputs, llm_kwargs, history, system_prompt),
top_p=top_p,
temperature=llm_kwargs.get('temperature', 1.0),
result_format='message',
stream=True,
incremental_output=True
)
for response in responses:
if response.status_code == HTTPStatus.OK:
if response.output.choices[0].finish_reason == 'stop':
yield self.result_buf
break
elif response.output.choices[0].finish_reason == 'length':
self.result_buf += "[Local Message] 生成长度过长,后续输出被截断"
yield self.result_buf
break
else:
self.result_buf += response.output.choices[0].message.content
yield self.result_buf
else:
self.result_buf += f"[Local Message] 请求错误:状态码:{response.status_code},错误码:{response.code},消息:{response.message}"
yield self.result_buf
break
logging.info(f'[raw_input] {inputs}')
logging.info(f'[response] {self.result_buf}')
return self.result_buf
def generate_message_payload(inputs, llm_kwargs, history, system_prompt):
conversation_cnt = len(history) // 2
if system_prompt == '': system_prompt = 'Hello!'
messages = [{"role": "user", "content": system_prompt}, {"role": "assistant", "content": "Certainly!"}]
if conversation_cnt:
for index in range(0, 2*conversation_cnt, 2):
what_i_have_asked = {}
what_i_have_asked["role"] = "user"
what_i_have_asked["content"] = history[index]
what_gpt_answer = {}
what_gpt_answer["role"] = "assistant"
what_gpt_answer["content"] = history[index+1]
if what_i_have_asked["content"] != "":
if what_gpt_answer["content"] == "":
continue
if what_gpt_answer["content"] == timeout_bot_msg:
continue
messages.append(what_i_have_asked)
messages.append(what_gpt_answer)
else:
messages[-1]['content'] = what_gpt_answer['content']
what_i_ask_now = {}
what_i_ask_now["role"] = "user"
what_i_ask_now["content"] = inputs
messages.append(what_i_ask_now)
return messages
|