YouTube Comment Sentiment Analyzer

This project provides a versatile platform to analyze the sentiment expressed in YouTube comments and understand how viewers feel about the content.

Techstack

Next.js frontend: Responsive and user-friendly interface.
FastAPI backend: Efficient sentiment analysis powered by data preprocessing and Hugging Face transformers.
roBERTa model: Robust pre-trained language model for accurate sentiment classification.
Tailwind CSS: Streamlined styling and customization.
UI components: Aceternity UI, Shadcn UI, Tremor

The Python/FastAPI server is mapped into to Next.js app under /api/.

This is implemented using next.config.js rewrites to map any request to /api/:path* to the FastAPI API, which is hosted in the /api folder.

On localhost, the rewrite will be made to the 127.0.0.1:8000 port, which is where the FastAPI server is running.

git clone https://github.com/danielkwapien/youtube-comments-sentiment-webapp
cd youtube-comments-sentiment-webapp

npm install
# or
yarn
# or
pnpm install

Run the fronted and the backend:

npm run dev

Run just the backend:

npm run fastapi-dev

Run just the frontend:

npm run next-dev