README.md

metadata

title: TruthLens AI
emoji: 🛡️
colorFrom: indigo
colorTo: blue
sdk: docker
pinned: false
app_port: 7860

Fake News Detection Web App

... (rest of the content)

This is a full-stack web application for detecting fake news using models trained in the fake_news_pipeline.ipynb.

Features

• Real-time Prediction: Input news text and get instant results from 4 different models (DeBERTa, RoBERTa, DistilRoBERTa, Bi-LSTM).
• Analysis Dashboard: View training history, confusion matrices, ROC curves, and EDA results directly from the UI.
• SOTA Performance: Leveraging DeBERTa-v3 for high-accuracy predictions.

Tech Stack

• Backend: FastAPI (Python)
• Frontend: React + TypeScript + Vite
• Styling: Vanilla CSS
• Models: PyTorch + HuggingFace Transformers

How to Run

1. Start the Backend

Navigate to the root directory and run:

python -m uvicorn web_app.backend.main:app --reload

The API will be available at http://localhost:8000.

2. Start the Frontend

Navigate to web_app/frontend:

cd web_app/frontend
npm install
npm run dev

The website will be available at http://localhost:5173.

File Structure

• web_app/backend/: FastAPI source code and static analysis plots.
• web_app/frontend/: React source code and UI styles.
• saved_models/: Pre-trained model weights (used by backend).