tdd-chatbot 0.1.0

Voice-based chatbot using Ollama LLM with TDD

🎙️ Ollama Voice Q&A Bot

🎯 A voice-activated chatbot that answers only data science-related questions using Ollama (Mistral LLM).

Powered by Streamlit, Speech Recognition, and Test-Driven Development (TDD).

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✨ Features

✅ Ask your question with your voice
✅ Responses only for data science-related queries
✅ Built-in Text-to-Speech replies
✅ Detects non-English and politely declines
✅ Locally hosted LLM via Ollama + Mistral
✅ Unit tested with TDD practices

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🛠️ Tech Stack

Category	Tools / Libraries Used
UI	Streamlit
Speech-to-Text	speech_recognition
Text-to-Speech	pyttsx3
LLM	Ollama with mistral model
Language Detection	langdetect
Testing	Pytest + Mocking

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🧪 Test-Driven Development (TDD)

This project follows TDD principles:

• Write failing tests first
• Build functionality to pass them
• Refactor and improve

📁 Tests included:

• test_llm.py: Ensures LLM answers are relevant
• test_voice.py: Mocks voice input and checks result
• test_language.py: Validates correct language detection

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