https://github.com/arvind-4/sentiment-analysis
Check your sentiments!
https://github.com/arvind-4/sentiment-analysis
docker docker-compose fastapi nextjs tailwindcss
Last synced: about 2 months ago
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Check your sentiments!
- Host: GitHub
- URL: https://github.com/arvind-4/sentiment-analysis
- Owner: arvind-4
- License: mit
- Created: 2023-10-29T14:01:35.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-21T06:46:46.000Z (about 2 years ago)
- Last Synced: 2025-05-15T19:11:27.526Z (about 1 year ago)
- Topics: docker, docker-compose, fastapi, nextjs, tailwindcss
- Language: TypeScript
- Homepage: https://github.com/Arvind-4/Sentiment-Analysis
- Size: 26.4 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Sentiment Analysis:
## 📦 Tech Stack:
- [FastAPI](https://fastapi.tiangolo.com/) - FastAPI framework, high performance, easy to learn, fast to code, ready for production.
- [Docker](https://www.docker.com/) - Docker is a platform designed to help developers build, share, and run modern applications.
- [Next.js](https://nextjs.org/) - The React Framework for the Web.
- [Typescript](https://www.typescriptlang.org/) - JavaScript with syntax for types.
- [Tailwind 3](https://tailwindcss.com/) - Rapidly build modern websites without ever leaving your HTML.
## Demo:
## Getting Started:
- Clone Repo
```bash
mkdir ~/Dev/sentiment-analysis -p
cd ~/Dev/sentiment-analysis
git clone https://github.com/Arvind-4/sentiment-analysis.git .
```
- Install Dependencies (**For Backend**):
```bash
cd ~/Dev/sentiment-analysis
python3.7 -m pip install virtualenv
python3.7 -m virtualenv .
source bin/activate
pip install -r requirements.txt
```
- Run Dev Server (**For Backend**):
```bash
cd ~/Dev/sentiment-analysis
bash commands/run.sh
```
- Install Dependencies (**For Frontend**):
```bash
cd ~/Dev/sentiment-analysis
npm install
```
- Run Dev Server (**For Frontend**):
```bash
cd ~/Dev/sentiment-analysis
npm run dev
```
### Set Up for Docker
```bash
cd ~/Dev/sentiment-analysis
docker-compose up --build
```
Open [localhost:8000](http://localhost:8000) for backend.
Open [localhost:3000](http://localhost:3000) for frontend.