ZARA - Zingi Autonomous Response Assistant 🤖

ZARA (Zingi Autonomous Response Assistant) is a virtual assistant built with Customtkinter GUI and backed by Hugging Face models. It can answer questions and perform tasks using natural language processing. 🌐

Features ✨

ZARA can handle various queries and tasks, including:

• Opening applications (e.g., "open chrome") 🖥️
• Coding tasks (e.g., "make a simple hi program in java") 💻
• Riddles and puzzles 🧩
• Temperature inquiries (e.g., "current temperature at New York") ☀️❄️
• Navigation and travel queries (e.g., "take me from Mumbai to Goa") 🗺️✈️
• Playing music (e.g., "play 'Let me love you'") 🎵🎶
• Setting alarms and timers ⏰⏳
• Answering general knowledge questions (e.g., "tallest building in the world") 🏢⁉️
• Engaging in casual conversation (e.g., "what is your name?") 💬

Demo Video 📽️

zara.mp4

How to Interact 🗣️💬

Users can interact with ZARA by saying "Hey Zara" or by typing in the GUI. ZARA's responses are accompanied by Text-to-Speech (TTS) output for a more interactive experience. 🗨️🔊

Getting Started 🚀

To use ZARA, you'll need to set up API keys by creating a .env file in the project directory with the following keys:

• HUGGINGFACEHUB_API_TOKEN: Hugging Face API key from https://huggingface.co/settings/tokens
• NEWSAPI_KEY: NewsAPI.org API key from https://newsapi.org/
• WOLFARM_API: Wolfram Alpha API key from https://developer.wolframalpha.com/
• PORCUPINE_API: Picovoice Porcupine API key from https://console.picovoice.ai/

Installation ⚙️

1. Clone the repository:

   git clone https://github.com/meet244/ZARA.git
   cd ZARA

2. Install required Python packages:

   pip install -r requirements.txt

3. Run the application:

   python main.py

Used Python Modules 📦

This project relies on various Python modules to achieve its functionality. Here is a list of the modules that are being used:

• json: For working with JSON data.
• time: For time-related operations.
• pygame: For creating games and multimedia applications.
• os: For interacting with the operating system.
• pyaudio: For working with audio.
• requests: For making HTTP requests.
• wolframalpha: For querying Wolfram Alpha computational knowledge engine.
• re: For regular expressions.
• subprocess: For running subprocesses.
• wikipedia: For interacting with Wikipedia articles.
• datetime: For working with dates and times.
• BeautifulSoup: For parsing HTML and XML documents.
• dotenv: For loading environment variables from a file.
• streamlit: For creating interactive web applications.
• langchain: A library related to language generation.
• pvporcupine: For keyword detection.
• pyttsx3: For text-to-speech conversion.
• speech_recognition: For speech recognition.
• customtkinter: A modern and customizable python UI-library based on Tkinter.
• PIL: For working with images.
• markdown2: For converting Markdown to HTML.
• threading: For working with threads.
• pywhatkit: For performing various tasks using the web.
• pyautogui: For programmatically controlling the mouse and keyboard.

Acknowledgments 🙌

ZARA uses the following libraries and APIs:

• CustomTkinter: https://customtkinter.tomschimansky.com/
• Hugging Face: https://huggingface.co/
• OpenAssistant API: https://huggingface.co/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5

Contribution 🤝

Feel free to contribute, report issues, and give suggestions!

Note: This project is not affiliated with the services and APIs mentioned above. 🚫📡