Initialise the streamlit app framework, prompt templates for GPT, Memory to keep track of conversation and the LLM and Chains used to interact with GPT. import os import json import streamlit as st from apikey import apikey from searchhelper import azure_cognitive_search from searchhelper import json_data from langchain.llms import OpenAI from langchain.prompts import PromptTemplate from langchain.chains import LLMChain, SequentialChain from mory import ConversationBufferMemory from langchain.utilities import WikipediaAPIWrapper from import AzureKe圜redential from import SearchClientApp Framework: Streamlit is used to set up the main components of the web application, including the title and user input area for vehicle preferences. : Provides the SearchClient class, which is used to interact with the Azure Search service to perform searches and manage search results.Īzure Cognitive Search was used as the search engine for Vehicles.It has several submodules including llms which connect you to LLMs such as OpenAPIs GPT. langchain: A custom package that provides a set of tools for building natural language models.In this code, it is used to build the user interface for the vehicle recommendation engine. streamlit: Streamlit is a Python library used to create web applications quickly.The app was developed using Python and some notable libraries include: The idea here is to allow the user free reign to tell the chatbot what they are after in their own personal style, and use the magic of a GPT model to turn that into something useable by downstream search APIs. Vehicle recommendation engines often require users to explicitly set their preferences which are then used to find matching vehicles. Step1: User writes their preferences into a chat prompt. The conversation flow goes as follows with interactions between the user, the Chatbot, GPT (or LLM of your choice), and the vehicle search engine. The results are enriched with informative details about each car and justification as to why it was recommended. The app we’re going to unpack is a used-car recommendation Chatbot that returns a list of recommended vehicles based on what you (informally) state your preferences are. (PS Using cats plus generative AI is not entirely original, I must confess, as is evidenced by. I’ve added a cute story map with a cat (yep, CatGPT) into this post to try make it stand out from the rest. In case you’ve run out of AI based content to read, here is another one for your list. Cat Used Car Salesmen courtesy of MidJourney

The Singularity by Mark Rodseth