Senti𝕏

SentiX is a sentiment analysis tool for twitter.

Description · Features · Running locally ·

Description

AI Amplify Winning Project (Problem Statement Two )

Utilizing state-of-the-art natural language processing algorithms, Senti𝕏 analyzes tweets, user handles, and hashtags, extracting nuanced sentiments in real-time. Uncover valuable trends, gauge public perception, and make data-driven decisions with our comprehensive sentiment analysis toolkit, designed to unravel the emotions behind every digital conversation.

Link: https://sentix.vercel.app/

Features

• Next.js App Router
• React and Typescript for reliable and fast development
• Langchain.js as the wrapper to interact with OpenAI API
• Pinecone as the vector database
• User Interface and Experience
  • Design is built from scratch using Figma
  • Styling with Tailwind CSS
  • Icons from Heroicons and Google Icons
  • Tailwind Merge and CLSX for dev experience

Running locally

You will need to have the necessary environment variables setup in your .env file. This should include keys for your openai account, pinecone index.

NEXT_PUBLIC_OPENAI_API_KEY = 
NEXT_PUBLIC_PINECONE_API_KEY = 
NEXT_PUBLIC_PINECONE_ENV = 

Note: You should not commit your .env file or it will expose secrets that will allow others to access your openai credits.

1. Install run: pnpm i
2. Make a new .env file.
3. Populate the .env file with the necessary environment variables.

pnpm run dev

Your app template should now be running on localhost:3000.

Running locally with docker

docker login
docker pull korebhaumik/sentix
docker run -env-file .env -p 3000:3000 korebhaumik/sentix

Note: If the docker image is not available (repo is private), you can build it locally by running docker build -t sentix. in the root directory of the project.