chatgpt_python

beebom_ori.py

from the blog 『How to Train an AI Chatbot With Custom Knowledge Base Using ChatGPT API(https://beebom.com/how-train-ai-chatbot-custom-knowledge-base-chatgpt-api/)』 Tell you how to import your text data into gpt_index and predict by openAI API to create a LLM index that can be query

beebom_modify.py

Personnel Change 1.use gpt-3.5-turbo. 2.Change from loading all text files in a folder to a single csv file. 3.Add wait one second when call openAI API for 60 times/min limit. 4.Don't always create an index

chatgpt.py

funtion to connect openAI chat API with message history.

app.py

Make the program perfect by adding the following functions 1.What to do if prompt is Chinese. 2.Translate to Chinese if the query result not Chinese. 3.Call gpt-index when determining the inclusion of the patent word; otherwise call chatGPT API 4.Add Message history

docs

The demo patent data.