Basic AI Chatbot (Part 1 - Seq2Seq)

A simple, terminal-based chatbot built with Python and Hugging Face's transformers library. This project serves as an introduction to how transformer models generate dialogue using a sequence-to-sequence approach.

🚀 Features

• Lightweight Model: Uses facebook/blenderbot-400M-distill.
• Manual History Tracking: Demonstrates how to store and pass conversation context manually.
• CPU Optimized: Runs smoothly on any modern CPU.

⚙️ Setup

1. Clone: git clone https://github.com/metalmancode/basic_chatbot.git
2. Environment:

   python3 -m venv my_env
   source my_env/bin/activate
   pip install transformers torch numpy

3. Run: python chatbot.py

🧠 What You'll Learn

• How tokenization works.
• How to load pre-trained models from Hugging Face.
• How to maintain a manual conversation history list.

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For the advanced version with a Web UI and Modern LLM, see Basic_Chatbot_Upgraded.