The seven cores and case analysis of LangChain, the most popular large-scale model framework
10.6 Detailed Analysis of the GPT Content Creator Case
Let’s go back to the “LangChain GPT Content Creator” case and analyze the code line by line. In order to better understand this code, first look at the entire log process that it specifically executes, and then look at the code part.
First, execute the script on the console to start the web page:
1. streamlit run app.py
As shown in Figure 10-39, enter "Rasa chatbot" in the input field on the web page.
Figure 10-39 Web input page
In the process of running the page, we can see its input and output information in the background. First, it helps us generate a content based on PromptTemplate, which is "Write me a youtube video title about Rasa chatbot" ("Write me a youtube video title about Rasa chatbot").
The running log is as follows:
> Entering new LLMChain chain...