Ynsaid/Darija_Sentiment_Analysis_Frontend

# Text Sentiment Prediction Tool (Darija Sentiment UI) This is the frontend for a text sentiment prediction tool — designed to work with dialectal Arabic (e.g. Darija / Algerian dialect). A live deployed version is available at: darija-sentiment-analysis-f… ## Demo / Live Site You can try the live version at the link above. Enter text (e.g. in Darija / Arabic) and get sentiment feedback. ## Project Structure - `src/` — frontend source code (likely using TypeScript / JS + Vite) - `index.html` — main HTML file / entrypoint - `vite.config.ts` — configuration for build/development - `package.json`, `package-lock.json` — dependencies & scripts - `.gitignore` — ignored files ## Running Locally 1. Clone this repository 2. Run `npm install` to install dependencies 3. Run `npm run dev` to start the development server 4. Open your browser (usually `localhost` or as configured) to view the UI ## What it does — and what it doesn’t - ✅ Provides a **web UI** where users can input text, likely in Darija / Arabic, and submit for sentiment prediction. - ✅ The interface is simple and minimal, with input field(s) and result display. - ⚠️ **Important**: This repo only contains the **frontend** — it does **not** include any model, dataset, or backend logic. So **on its own**, it **cannot** analyze sentiment. It must be connected to a separate backend (API / server) that handles the sentiment classification. ## Deploy / Live Version The live version is already deployed (see link above). This shows that there is (or was) a backend somewhere connected to this frontend — or the frontend has been configured to interface with an external API (not included in this repo). ## To Make It Work / Extend It If you want a working sentiment-analysis application: - You need a backend: e.g. a server (in Python/Node/… ) that loads a sentiment-analysis model trained on Darija/Arabic. - Connect the frontend to that backend via REST API (POST input tex …