Tamirci - Technical Support AI Assistant

Tamirci is an intelligent technical support assistant that uses AI to answer only technology and mechanics-related questions. The project leverages MonkeyLearn for question classification and OpenAI's GPT-3.5-turbo for generating detailed technical responses.

Features

• Intelligent Question Classification: Uses MonkeyLearn API to determine if a question is technical
• AI-Powered Responses: Generates detailed, step-by-step technical answers using OpenAI GPT-3.5-turbo
• Multi-language Support: Responds in multiple languages including English, Turkish, and French
• Smart Filtering: Only responds to technical questions, politely declining non-technical queries
• Detailed Guidance: Includes YouTube videos and web articles in responses when applicable
• Comprehensive Support: Covers all programming languages, frameworks, and technical topics

Project Structure

• oai.py: Main application with Tkinter GUI
• mlear.py: MonkeyLearn integration for text classification
• RelatedToTech.csv: Training dataset with 999 tech/non-tech labeled texts

Prerequisites

• Python 3.7+
• tkinter
• openai
• monkeylearn

Installation & Setup

1. Install required packages:

pip install openai monkeylearn

2. Set up environment variables:

   • Replace OPENAI_API_KEY in oai.py with your OpenAI API key
   • Replace api_key and model_id in mlear.py with your MonkeyLearn credentials

3. Run the application:

python oai.py

API Configuration

OpenAI API

• Get your API key from OpenAI Platform
• Uses GPT-3.5-turbo model for chat completions
• Temperature: 0.7 for balanced creativity
• Max tokens: 1000 for detailed responses

MonkeyLearn API

• Get your API key from MonkeyLearn
• Create or use a pre-trained text classification model
• Model should classify text as 'tech' or 'non-tech'

Dataset

The project includes RelatedToTech.csv, a dataset containing 999 examples of technical and non-technical texts. This can be used for:

• Training custom MonkeyLearn models
• Testing the classification accuracy
• Understanding the scope of technical questions

How It Works

1. User Input: User submits a question through the interface
2. Classification: MonkeyLearn API analyzes if the question is tech-related
3. Response Generation:
   • If technical: OpenAI generates a detailed, helpful response
   • If non-technical: Returns a polite message explaining the limitation
4. Conversation History: Maintains context for follow-up questions

Response Examples

For Technical Questions: Tamirci provides detailed, step-by-step instructions with relevant resources, YouTube links, and article references.

For Non-Technical Questions: "I am Tamirci technical assistant, developed to answer only technical questions. If you think I made an error and your question is technical, please try asking it differently."

Future Enhancements

• Web interface deployment
• Support for more AI models
• Enhanced conversation memory
• Code snippet execution
• Integration with technical documentation APIs
• Real-time collaboration features

License

This project is open source and available under the MIT License.

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests.

Support

For questions or support, please open an issue in the repository.