61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
import SparkApi
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from prompt import *
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from tqdm import tqdm
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# 以下密钥信息从控制台获取
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appid = "f0f73de5" # 填写控制台中获取的 APPID 信息
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api_secret = "YzkyYjQwMTU0MGZjMmUzMGE1Y2ZjYzBk" # 填写控制台中获取的 APISecret 信息
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api_key = "5773f6f95563708de994d17b7ea5d414" # 填写控制台中获取的 APIKey 信息
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# 用于配置大模型版本，默认“general/generalv2”
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domain = "4.0Ultra" # v1.5版本
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# domain = "generalv2" # v2.0版本
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# 云端环境的服务地址
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Spark_url = "wss://spark-api.xf-yun.com/v4.0/chat" # v1.5环境的地址
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# Spark_url = "ws://spark-api.xf-yun.com/v2.1/chat" # v2.0环境的地址
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text = []
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# length = 0
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def getText(role, content):
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jsoncon = {}
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jsoncon["role"] = role
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jsoncon["content"] = content
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text.append(jsoncon)
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return text
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def getlength(text):
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length = 0
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for content in text:
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temp = content["content"]
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leng = len(temp)
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length += leng
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return length
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def checklen(text):
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while (getlength(text) > 8000):
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del text[0]
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return text
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if __name__ == '__main__':
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text.clear()
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file_name = 'train3.jsonl'
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conversations = []
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for i in tqdm(range(200)):
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Input = prompt(random.randint(0, 16))
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question = checklen(getText("user", Input))
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SparkApi.answer = ""
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SparkApi.main(appid, api_key, api_secret, Spark_url, domain, question)
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getText("assistant", SparkApi.answer)
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conversations.append(ChatGLM3_6B(SparkApi.answer))
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for item in conversations:
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save_jsonl(item, file_name)
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conversations.clear()
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