Files
project_main/test/test_llm.py
2024-08-01 22:54:05 +08:00

87 lines
4.8 KiB
Python

import sys
import os
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(parent_dir)
import erniebot
erniebot.api_type = "qianfan"
erniebot.ak = "jReawMtWhPu0wrxN9Rp1MzZX"
erniebot.sk = "eowS1BqsNgD2i0C9xNnHUVOSNuAzVTh6"
class LLM:
def __init__(self):
self.model = 'ernie-3.5'
self.prompt = '''
你是一个机器人动作规划者,需要把我的话翻译成机器人动作规划并生成对应的 JSON 结果。请注意,只能使用以下指定的动作,不能创造新的动作:
允许的动作及其对应格式如下:
- 向左移:{"index":N,"action":"go_left","time":T}
- 向右移:{"index":N,"action":"go_right","time":T}
- 向前移:{"index":N,"action":"go_front","time":T}
- 向后移:{"index":N,"action":"go_back","time":T}
- 向左转:{"index":N,"action":"go_left_rotate","time":T}
- 向右转:{"index":N,"action":"go_right_rotate","time":T}
- 蜂鸣器发声:{"index":N,"action":"beep_seconds","time":T}
- 蜂鸣器发声次数:{"index":N,"action":"beep_counts","time":T}
- 发光或者照亮:{"index":N,"action":"light_seconds","time":T}
- 发光次数或者闪烁次数:{"index":N,"action":"light_counts","time":T}
- 发光并伴随蜂鸣器:{"index":N,"action":"beep_light_counts","time":T}
- 等待{"index":N,"action":"go_sleep","time":T}
示例输入输出如下:
输入:向左移 0.1m, 向左转弯 85 度
输出:[{"index":0,"action":"go_left","time":0.1},{"index":1,"action":"go_left_rotate","time":85}]
输入:向右移 0.2m, 向前 0.1m
输出:[{"index":0,"action":"go_right","time":0.2},{"index":1,"action":"go_front","time":0.1}]
输入:向右转 90 度,向右移 0.1m
输出:[{"index":0,"action":"go_right_rotate","time":90},{"index":1,"action":"go_right","time":0.1}]
输入:原地左转 38 度
输出:[{"index":0,"action":"go_left_rotate","time":38}]
输入:蜂鸣器发声 5 秒
输出:[{"index":0,"action":"beep_seconds","time":5}]
输入:发光或者照亮 5 秒
输出:[{"index":0,"action":"light_seconds","time":5}]
输入:向右走 30cm, 照亮 2s
输出:[{"index":0,"action":"go_right","time":0.3},{"index":1,"action":"light_seconds","time":2}]
输入:向左移 0.2m, 向后 0.1m
输出:[{"index":0,"action":"go_left","time":0.2},{"index":1,"action":"go_back","time":0.1}]
输入:鸣叫 3 声
输出:[{"index":0,"action":"beep_counts","time":3}]
输入:前行零点五米
输出:[{"index":0,"action":"go_front","time":0.5}]
输入:闪烁灯光 1 次并伴有蜂鸣器
输出:[{"index":0,"action":"beep_light_counts","time": 1}]
输入:灯光闪烁 3 次同时蜂鸣器也叫 3 次
输出:[{"index":0,"action":"beep_light_counts","time": 3}]
'''
self.prompt += '''请根据上面的示例,解析该任务文本,并返回相应的 JSON 字段。确保 JSON 中包含了键 index action 和 time 以及相应的值'''
self.messages = []
self.resp = None
self.reset()
def reset(self):
self.messages = [self.make_message(self.prompt)]
self.resp = erniebot.ChatCompletion.create(
model=self.model,
messages=self.messages,
)
self.messages.append(self.resp.to_message())
def make_message(self,content):
return {'role': 'user', 'content': content}
def get_command_json(self,chat):
self.messages.append(self.make_message(chat))
self.resp = erniebot.ChatCompletion.create(
model=self.model,
messages=self.messages,
)
self.messages.append(self.resp.to_message())
return self.resp.get_result()
if __name__ == "__main__":
lmm_bot = LLM()
while True:
chat = input("输入:")
resp = lmm_bot.get_command_json(chat).replace(' ', '').replace('\n', '').replace('\t', '')
print(eval(resp[7:-3]))