wanyaokun
72 lines
1.4 KiB
Python
72 lines
1.4 KiB
Python
from pydantic import BaseModel
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import os
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class BaseConfig(BaseModel):
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projectInfo:str = os.getenv("PROJECT_TITLE","您好，我是博微工程理解小助手，您可以问我有关[线路工程]工程数据的相关问题！")
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def ParamterCfg(self):
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questions = os.getenv("CONVERSATION_STARTERS", "dev")
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return{
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"opening_statement": self.projectInfo,
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"suggested_questions": questions.split('\n'),
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"suggested_questions_after_answer": {
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"enabled": False
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},
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"speech_to_text": {
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"enabled": False
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},
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"text_to_speech": {
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"enabled": False,
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"language": "",
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"voice": ""
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},
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"retriever_resource": {
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"enabled": True
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},
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"annotation_reply": {
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"enabled": False
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},
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"more_like_this": {
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"enabled": False
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},
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"user_input_form": [],
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"sensitive_word_avoidance": {
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"enabled": False
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},
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"file_upload": {
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"image": {
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"enabled": False,
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"number_limits": 3,
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"transfer_methods": [
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"remote_url"
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]
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}
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},
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"system_parameters": {
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"image_file_size_limit": "10"
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}
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}
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def ConversationCfg(self):
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return{
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"id": "",
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'user_id':'',
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"name": "",
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"inputs": {},
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"status": "normal",
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"introduction": self.projectInfo,
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"created_at":''
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}
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@classmethod
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def MessageCfg(cls):
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return {
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"id": "",
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'user_id':'',
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"conversation_id": "",
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"inputs": {},
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"query": "",
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"answer": ""
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}
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