vspagent 2.2.0

AI-powered chat agent about Vishnu Suresh Perumbavoor. Powered by Qwen2.5-0.5B.

🤖 VSP Agent

AI-powered chat agent about Vishnu Suresh Perumbavoor. Powered by Qwen2.5-0.5B.

🚀 Features

• 🧠 AI Chat: Interactive conversations powered by Qwen2.5-0.5B language model
• 💬 Natural Language: Ask anything about VSP in plain English
• 🧠 Conversation Memory: Maintains context throughout the chat session
• ⚡ GPU Acceleration: Automatic GPU support for 30-50x faster responses
• 🎯 CLI Interface: Easy-to-use command-line interface
• 🐍 Python API: Programmatic access for developers

📦 Installation

pip install vspagent

🎯 Quick Start

CLI Mode

Simply run:

vspagent-py

This launches an interactive chat session with the VSP Agent!

Example Chat Session:

💬 You: Who is VSP?
🤖 VSP Agent: VSP stands for Vishnu Suresh Perumbavoor. He is the founder 
of VSP Enterprises and VSP Intelligence. He's a Software Engineer, Singer, 
and YouTuber...

💬 You: What technologies does he use?
🤖 VSP Agent: He works with React, Node.js, FastAPI, Docker, MongoDB...

💬 You: What has he accomplished?
🤖 VSP Agent: He won 3rd prize in Vaiga Agrihack 2023...

💬 You: exit
👋 Thanks for chatting!

Features:

• 🤖 AI-powered conversations with Qwen2.5-0.5B
• 💬 Natural language understanding
• 🧠 Conversation memory (maintains context)
• ⚡ GPU acceleration (30-50x faster if available)
• 🎯 Simple and focused on chatting about VSP

Note: Command is vspagent-py (not vspagent) to avoid conflicts with the JavaScript version.

Python API

from vspagent import VSPAgent, biodata

# Create agent instance
agent = VSPAgent()

# Initialize AI model (loads Qwen2.5-0.5B)
agent.init_ai()

# Chat with the agent
response = agent.chat("Who is VSP?")
print(response)

# Continue conversation with context
conversation_history = []
conversation_history.append({"role": "user", "content": "Who is VSP?"})
conversation_history.append({"role": "assistant", "content": response})

response2 = agent.chat("What technologies does he use?", conversation_history)
print(response2)

# Access biodata directly
print(biodata['creator'])
print(biodata['technologies'])

📚 API Reference

VSPAgent Class

Methods

• init_ai(): Initialize the Qwen2.5-0.5B AI model (required before chatting)
• chat(message, conversation_history=None): Chat with the AI agent
  • message (str): Your question or message
  • conversation_history (list, optional): Previous conversation for context
  • Returns: AI-generated response as string

biodata Dictionary

Contains comprehensive information about Vishnu Suresh Perumbavoor:

• Personal information
• Founder companies
• Technologies and skills
• Accomplishments
• Social media links

🛠️ Requirements

• Python 3.8+
• transformers >= 4.30.0
• torch >= 2.0.0

🎨 Using the CLI

When running vspagent-py:

• Simply type your questions or messages
• The AI will respond with information about VSP
• Type exit or quit to end the conversation
• Conversation context is maintained throughout the session

👨‍💻 About VSP

Vishnu Suresh Perumbavoor is the founder of VSP Enterprises and VSP Intelligence. He's a:

• Software Engineer
• Singer
• YouTuber
• Technology enthusiast

🏆 Accomplishments

• Won 3rd prize in Vaiga Agrihack 2023
• Participated in Rajasthan IT Hackathon 2023
• Won 1st prize in startup idea presentation at Palakkad

🔧 Technologies

React, Node.js, FastAPI, Express, MongoDB, Docker, OHIF, Cornerstone3D, VTKjs, DICOM

🔗 Connect

• 💼 LinkedIn
• 🐙 GitHub
• 🐦 Twitter
• 📺 YouTube
• 📷 Instagram

📄 License

MIT License - see LICENSE file for details

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🐛 Issues

Found a bug? Report it here

📈 Version

Current version: 2.2.0

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Made with ❤️ by Vishnu Suresh Perumbavoor