Text Summarization - Gen AI App , Amazon Bedrock and Lambda, Docker, Lambda, Streamlit, Python

In this video, we will implement a text summarization application. This is a hands-on coding and beginner friendly tutorial.

Time Stamps:
0:00 - Introduction
1:21 - AWS Console - Bedrock overview
3:07 - Write Backend Lambda Function in Python and Test using Postman
17:22 - Write Frontend Code with Python, Streamlit & Docker
31:26 - Conclusion


This application has 2 parts:
BACKEND:
The backend application is built using Serverless Technologies like AWS Lambda and and exposed as Lambda Function URL.
The python lambda integrates with Bedrock to generate the response from LLM, which is Cohere Foundation Model in this case.

FRONTEND:
The frontend is implemented using Python, Docker and Streamlit.
An api call is made to the lambda function url with user's entered text.
The response is displayed to the user as streaming text.

I will be coding both the backend and frontend applications live and show an end to end demo.

#llm #generativeai #aws #amazoncloud #bedrock #artificialintelligence #tutorials