Hello friends, welcome to my channel Tech and Clip. In today’s video tutorial, I will explain three important concepts of blank chain, which are prompt template, llm chain, and sequential chain. I will also show how to develop an end-to-end real-world application using these concepts.
Before I go into the code, let me show you the end product we are expecting. Consider an AI-based blog assistant which takes a blog topic as input and then returns a creative title and a blog script. Here is the application we are trying to build.
To develop this application, we need to install three libraries: LinkedIn, Streamlit, and OpenAI. LinkedIn is a platform to develop llm-based applications, Streamlit is used to develop the front end, and OpenAI is required to communicate with GPT llm.
Next, we set up the OpenAI API key as an environment variable. The API key is stored in a separate file called ‘appSecrets’, which holds all the secrets required to develop the application.
In the front end, we create an input field for the blog topic. We also create prompt templates for the title and script using the PromptTemplate class. Prompt templates help us create dynamic and creative prompts.
We then create an instance of the OpenAI llm and two chains using the llm chain class. The llm chain class binds the prompt template and the llm and automates the process of executing the prompt template and extracting the final response.
To call the chains in a sequential manner, we use the SequentialChain class. This allows us to call multiple chains and access the output of each chain. We define the input and output variables for the chains.
Finally, we call the sequential chain and collect the output and response. We display the title and script to the user.
In a real-world scenario, we would store the prompts in separate files and load them using the LoadPrompt class. This allows us to maintain versioning and easily modify the prompts without changing the main application code.
I hope you found this tutorial helpful. If you have any questions, please leave them in the comments below. Thank you for watching and see you in the next video!
