Skip to main content

Posts

Showing posts with the label GenAI

How to create a GenAI Talking Avatar ChatBot using Streamlit and Anthropic Claude LLM Model

GenAI Talking Avatar ChatBot   using Streamlit and Anthropic Claude LLM Model GenAI-Talking-Avatar-Chatbot is a web application that allows users to interact with an AI-powered talking chatbot with a static avatar. The chatbot uses AWS Bedrock for generating responses and Google Text-to-Speech (gTTS) for voice output. The backend is built with FastAPI, and the frontend uses Streamlit for the user interface. Features API Backend (api.py) Provides an API endpoint to handle chat requests. Uses AWS Bedrock to generate AI responses in a specified JSON format. Ensures the responses include the message, avatar expression, and voice tone. Includes a health check endpoint to verify the API status. Chat UI (chat_frontend.py) Chat Interface: Provides a chat interface where users can input their queries and receive responses from the AI assistant. Avatar Display: Displays an avatar that changes expressions based on the AI assistant's responses and actions (e.g., thinking, speaking). AI Respons...

How to create a GenAI ChatBot using Streamlit and Anthropic Claude LLM Model

GenAI Chatbot with Streamlit and Anthropic Claude LLM model GenAI-ChatBot is a chatbot application that utilizes Streamlit for the frontend and LangChain for the backend. The chatbot integrates with AWS Bedrock for language model interactions, enabling intelligent and dynamic conversations. Features Conversational AI chatbot powered by LangChain. Interactive web-based UI built with Streamlit. AWS Bedrock integration for natural language responses. Supports conversation memory for contextual awareness. Easy setup and deployment. GitHub Repo:  Clone and use latest code from here. https://github.com/SolutionInsights-git/GenAI-Chatbot

How to Use GitHub Copilot for enterprise apps development? | Coding, Refactoring & AI Automation | GenAI

🚀 "GitHub Copilot in Action: Code, Refactor & Automate Like a Pro! What You’ll Learn GitHub Copilot is a game-changer for developers, accelerating every stage of the Software Development Life Cycle (SDLC). In this guide, you'll explore real-world prompts that can: ✅ Generate boilerplate code instantly ✅ Refactor and optimize existing code effortlessly ✅ Generate documentation, unit testing & CI/CD scripts seamlessly ✅ Enhance software design patterns intelligently ✅ Analyze code/logs for potential issues and improvements ✅ Detect and fix bugs efficiently with AI-powered suggestions What is prompt? A prompt is an instruction given to an AI tool (like Copilot) to generate a meaningful response. Prompt Engineering is the art of crafting these inputs to achieve accurate, relevant, and optimized outputs. Prerequisites Before you get started, make sure you have the following: Visual Studio Code or IntelliJ IDEA installed GitHub Copilot extension installed and configured Bas...