🚀 Dynamic AI Chatbot with Custom Training Sources

🤖 Customizable GPT Chatbot

This project is a dynamic AI chatbot that can be trained from various sources, such as PDFs, documents, websites, and YouTube videos. It features a user authentication system with Google social login and uses the Django REST framework for its backend. The chatbot integrates OpenAI's GPT-3.5 language model for intelligent and responsive conversations. Designed for scalability and ease of use, this chatbot is a powerful solution for AI-driven interactions.

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✨ Features

• ✅ Train chatbot from multiple sources (PDFs, documents, websites, YouTube videos)
• ✅ User authentication with social login via Google
• ✅ OpenAI GPT-3.5 integration for intelligent conversations
• ✅ Vector indexing with Pinecone and FAISS
• ✅ Text embedding using OpenAI's text-embedding-ada-002
• ✅ Python Langchain for file processing and text conversion
• ✅ Scalable architecture with environment-specific settings (local, staging, production)
• ✅ Dynamic site settings (e.g., customizable title and prompt updates)
• ✅ Multilingual support
• ✅ PostgreSQL database support for efficient storage
• ✅ Task scheduling with Celery and Redis (AWS SQS option available)
• ✅ AWS S3 bucket support for scalable file hosting
• ✅ Easy deployment on Heroku or AWS

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🛠 Tech Stack & Major Libraries

• Backend: Django REST Framework
• LLM: OpenAI GPT-3.5
• Vector Indexing: Pinecone, FAISS
• Embeddings: OpenAI text-embedding-ada-002
• File Processing: Langchain
• Task Queue: Celery + Redis/AWS SQS
• Database: PostgreSQL
• Storage: AWS S3
• Deployment: Heroku / AWS

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🔮 Future Roadmap

• 🔗 Integration with more third-party authentication services
• 📂 Support for additional file formats and media types
• 🧠 Enhanced context-awareness in chatbot conversations
• 🌍 Improved multilingual support with automatic language detection
• 💬 Integration with popular messaging platforms (Telegram, WhatsApp, Slack, Discord, etc.)

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🔧 Installation & Setup

Prerequisites

Ensure you have the required dependencies installed on Linux or Mac:

sudo apt install python3-dev -y
sudo apt-get install libcurl4-openssl-dev gcc libssl-dev -y
pip install --upgrade pip setuptools
pip install pycurl

Clone the Repository

git clone https://github.com/muffin819/AI-Chat-Bot.git
cd AI-Chat-Bot

Install Dependencies

pip install -r requirements.txt

Run Migrations

python manage.py migrate

Start the Server

python manage.py runserver

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🚀 Deployment

You can deploy the chatbot easily on Heroku or AWS.

Deploy on Heroku

git push heroku main

Deploy on AWS

Follow AWS Elastic Beanstalk or EC2 setup guides to deploy your Django app efficiently.

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📩 Contact

Telegram | dogewhiz