This video shows how to build a simple customer service agent chatbot that helps customers with item return.
The model is provided context, so it asks questions to the customers if the item was purchased within last 15 days and it's unused.
It makes the decision based on the Customer's response to those questions.
The video also shows how to enhance user experience by streaming responses from the Large Language Model (LLMs).
What will you learn:
- How to create key for Service Account in Google Cloud Platform
- Build Docker Image with the python packages needed
- How to mount the key on Docker image in runtime, so you don't accidentally share your key file
- Build the Streamlit application with Langchain, Python and Google Cloud AI Platform SDK
The source code for this tutorial can be found in the github repository:
https://github.com/mycloudtutorials/generative-ai-demos/tree/master/customer-service-demo-with-chatbison
#generativeai #langchain #googlecloud #google #docker #tutorial #tutorials #chatbot