metadata

title: Media Unmasked API
emoji: 👀
colorFrom: purple
colorTo: red
sdk: docker
pinned: false
license: apache-2.0
short_description: AI-powered media bias detection API

Media Unmasked API

Project Overview

Media Unmasked API is an AI-powered tool designed to detect media bias in articles. It scrapes articles from the web, analyzes their content for bias, sentiment, and credibility, and provides a comprehensive analysis report.

Features

Scrape articles from various websites
Analyze content for bias and sentiment
Provide detailed analysis reports
Store analysis results in a database

Installation

To set up the project locally, follow these steps:

Clone the repository:

git clone https://github.com/LtShibby/media-unmasked-api.git

Navigate to the project directory:
```
cd media-unmasked-api
```
Install the required dependencies:
```
pip install -r requirements.txt
```
Set up environment variables by creating a .env file based on the .env.example provided.

Usage

To run the application, use the following command:

uvicorn app.main:app --host 0.0.0.0 --port 7860 --reload

Once the server is running, you can access the API at http://localhost:7860.

Configuration

The application can be configured using environment variables. Key variables include:

SUPABASE_URL: The URL for the Supabase database.
SUPABASE_KEY: The API key for accessing Supabase.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request for any improvements or bug fixes.

License

This project is licensed under the Apache-2.0 License.

Contact

For any questions or inquiries, please contact the maintainers.

About

MediaUnmasked is a product of Wozwize, dedicated to providing insightful analysis of media content.