🤖TathyaX Bot

Welcome to the TathyaX Fact-Check Bot repository! This project demonstrates the use of AI and APIs to create a bot that verifies the truthfulness of tweets and responds with concise, authoritative explanations.

🚀 Features

-> Automatically checks the truthfulness of tweets mentioning the bot. -> Replies with "True", "False", or "Unverifiable", followed by a brief explanation. -> Professional and neutral tone in all responses. -> Uses a blend of AI language models and reliable data sources for fact-checking.

📋 How It Works

1. Monitoring Mentions: The bot scans for tweets mentioning its handle.
2. Fact-Checking:
   • If the claim is verifiable, it determines its truthfulness using predefined datasets or APIs.
   • For unverifiable claims, it responds appropriately.
3. Replying to Tweets: The bot crafts a concise reply with reasoning and posts it under the original tweet.

🛠️ Setup and Deployment

Prerequisites

• Python 3.8+
• A Twitter Developer Account with API keys (Free Tier suffices for light usage).
• OpenAI API key for language processing.
• Optional: Airtable account for logging (can be disabled).

Installation

1. Clone the repository: git clone https://github.com/Tathya-X/TathyaX-version-2.git cd TathyaX-version-2
2. Install dependencies: pip install -r requirements.txt
3. Set environment variables: TWITTER_API_KEY=your-twitter-api-key, TWITTER_API_SECRET=your-twitter-api-secret, TWITTER_ACCESS_TOKEN=your-access-token, TWITTER_ACCESS_TOKEN_SECRET=your-access-token-secret, OPENAI_API_KEY=your-openai-api-key
4. Run Locally tathyax.py

Deployment

• Use free hosting platforms like Railway or any other cloud service.
• Add your environment variables to the hosting platform.

📚 Response Template

The bot responds to tweets with:

• True: A claim is correct, backed by a reliable source. Example: "True: Polar bears can swim for days. Studies show they travel hundreds of miles in open water."

• False: A claim is incorrect, with a brief explanation. Example: "False: Goldfish do not have a 3-second memory. They remember tasks for months."

• Unverifiable: A claim cannot be confirmed or denied due to lack of evidence. Example: "Unverifiable: No reliable data supports or refutes this claim."

📝 License

• This project is licensed under the MIT License. See the LICENSE file for more details.

🤝 Contributing

• Feel free to fork this repo, submit issues, or suggest features!