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from langchain.chains import LLMChain
from langchain.prompts.chat import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
HumanMessagePromptTemplate)
from chains.azure_openai import CustomAzureOpenAI
from prompts.summary import system_template, human_template
from config import OPENAI_API_TYPE, OPENAI_API_VERSION, OPENAI_API_KEY, OPENAI_API_BASE, DEPLOYMENT_ID, API_KEY
from langchain.chat_models import ChatOpenAI
import json
import requests
class WebSummary(LLMChain):
prompt = ChatPromptTemplate.from_messages(
[SystemMessagePromptTemplate.from_template(
system_template),
HumanMessagePromptTemplate.from_template(human_template)
])
llm = CustomAzureOpenAI(deployment_name=DEPLOYMENT_ID,
openai_api_type=OPENAI_API_TYPE,
openai_api_base=OPENAI_API_BASE,
openai_api_version=OPENAI_API_VERSION,
openai_api_key=OPENAI_API_KEY,
temperature=0.0)
def run(self, question, num_result=4):
params = {
"q": question,
"v": "\{539C9DC1-663A-418D-82A4-662D34EE34BC\}",
"p": 10,
"l": "en",
"s": "{EACE8DB5-668F-4357-9782-405070D28D11}",
"itemid": "\{91F4101E-B1F3-4905-A832-96F703D3FBB1\}",
}
req = requests.get(
"https://fptsoftware.com//sxa/search/results/?",
params=params
)
res = json.loads(req.text)
results = []
for r in res["Results"][:num_result]:
link = "https://fptsoftware.com" + r["Url"]
results.append({"link": link})
return results |