5 篇文章带有标签 “ChatTongyi”

question = "山东省济南高新供电中心投诉总数"

<Province>山东省</Province><City>济南市</City><Company>高新供电中心</Company><Indicator>投诉</Indicator>总数

• 济南增加了市

question = "山东省济南市平阴县供电公司投诉总数"

<Province>山东省</Province><City>济南市</City><Company>平阴县供电公司</Company><Indicator>投诉</Indicator>总数

question = "济南市平阴县供电公司投诉总数"

<City>济南市</City><Company>平阴县供电公司</Company><Indicator>投诉</Indicator>总数

from langchain_core.messages import HumanMessage
from langchain_community.chat_models.tongyi import ChatTongyi


model = ChatTongyi(model="qwen-turbo", top_p=0.01)
gen = model.stream([HumanMessage(content="你是谁")])

for response in gen:
    print("🤖", response)

🤖 content='我是' id='run-57fca077-5e62-4cd5-ba25-c71b65049604'
🤖 content='通' id='run-57fca077-5e62-4cd5-ba25-c71b65049604'
🤖 content='义' id='run-57fca077-5e62-4cd5-ba25-c71b65049604'
🤖 content='千问，由阿里' id='run-57fca077-5e62-4cd5-ba25-c71b65049604'
// ...

import os
import pandas as pd
import gradio as gr
from http import HTTPStatus
from dashscope import Generation
from dashscope.api_entities.dashscope_response import Role
from typing import List, Optional, Tuple, Dict, Generator
from urllib.error import HTTPError


DEFAULT_SYSTEM = '您是一个有用的助手。'

History = List[Tuple[str, str]]
Messages = List[Dict[str, str]]

// ...

• CodeQwen1.5-7B-对话-demo

from datetime import datetime
from operator import itemgetter

from langchain.chains import create_sql_query_chain

from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import PromptTemplate
from langchain_core.runnables import RunnablePassthrough
from langchain_core.runnables import RunnableLambda

from langchain_community.chat_models.tongyi import ChatTongyi
from langchain_community.utilities import SQLDatabase
from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool


// ...

from enum import Enum
from typing import Optional, Type
from langchain.pydantic_v1 import BaseModel, Field


class ProvinceEnum(str, Enum):
    """省、直辖市、自治区"""
    山东省 = "山东省"

class CityEnum(str, Enum):
    """山东省地级市"""
    济南 = "济南"
    青岛 = "青岛"
    淄博 = "淄博"
    枣庄 = "枣庄"
// ...

from langchain_openai import ChatOpenAI

model = ChatOpenAI(temperature=0).bind(
    functions=functions,
    function_call={"name": PowerSupplyStationLocation.__name__}
)

response = model.invoke(prompt)
print(response)