三种国产大语言模型Python免费调用
基础三大模型，须要先去官方注册得到key；后续可以使用下列代码调用1.腾讯
安装：
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pip install -i https://mirrors.tencent.com/pypi/simple/ --upgrade tencentcloud-sdk-python 实例：
import jsonimport typesfrom tencentcloud.common import credentialfrom tencentcloud.common.profile.client_profile import ClientProfilefrom tencentcloud.common.profile.http_profile import HttpProfilefrom tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKExceptionfrom tencentcloud.hunyuan.v20230901 import hunyuan_client, modelstry: cred = credential.Credential("你的SecretId", "你的SecretKey") httpProfile = HttpProfile() httpProfile.endpoint = "hunyuan.tencentcloudapi.com" clientProfile = ClientProfile() clientProfile.httpProfile = httpProfile req = models.ChatCompletionsRequest() params = { "Model": "hunyuan-lite", "Messages": [ { "Role": "user", "Content": "你好" } ] } req.from_json_string(json.dumps(params)) resp = client.ChatCompletions(req) if isinstance(resp, types.GeneratorType): for event in resp: print(event) else: print(resp)except TencentCloudSDKException as err: print(err)
2.讯飞
安装：
pip install spark-ai-python
实例:
from sparkai.llm.llm import ChatSparkLLM, ChunkPrintHandlerfrom sparkai.core.messages import ChatMessage
def get_response(text): if text is not None: SPARKAI_URL = 'wss://spark-api.xf-yun.com/v1.1/chat' SPARKAI_APP_ID = '' SPARKAI_API_SECRET = '' SPARKAI_API_KEY = '' SPARKAI_DOMAIN = 'general' spark = ChatSparkLLM(spark_api_url=SPARKAI_URL, spark_app_id=SPARKAI_APP_ID, spark_api_key=SPARKAI_API_KEY, spark_api_secret=SPARKAI_API_SECRET, spark_llm_domain=SPARKAI_DOMAIN, streaming=False) messages = handler = ChunkPrintHandler() st = spark.generate(, callbacks=) return st
response = get_response("你好")print(response)
3.百度：
安装：
pip install requests import requestsimport jsondef get_access_token(): url = "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=&client_secret=" payload = json.dumps("") headers = { 'Content-Type': 'application/json', 'Accept': 'application/json' } response = requests.request("POST", url, headers=headers, data=payload) return response.json().get("access_token")
def get_response(text): url = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/yi_34b_chat?access_token=" + get_access_token() payload = json.dumps({"messages": [{"role": "user","content": "hi"}]}) headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data=payload) print(response.json().get("result"))
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