Loveprogrming/Zozo-Assistant

Zozo Assistant is a voice-activated chatbot that performs tasks based on user commands. It utilizes speech recognition, NLP, and ML to provide interactive responses. Users can listen to music, set alarms, check the time, weather, and engage in conversations. With AI technology and voice interaction, Zozo enhances the user experience.

Zozo Assistant

Zozo Assistant is a Python-based voice-controlled assistant that uses natural language processing to answer questions and perform various tasks. But also you can use it if you don't have a microphone. The assistant can provide answers to pre-defined questions, play music, say weather, set alarms, tell the time and date, and engage in general conversation. It utilizes the OpenAI API for advanced language processing, but also includes a fallback pipeline model if the API is not available. The code in train.py, trains a chatbot using a decision tree classifier. It reads a dataset from a file named datamain.txt, which contains a collection of questions and corresponding answers. The chatbot learns from this dataset and creates a pipeline model using the scikit-learn library. The model is then saved as model2.joblib for future use, when the API is not avaiable.

Features

• Speech recognition: Zozo can listen to user input through a microphone and convert it into text using the SpeechRecognition library.
• Text-to-speech: Zozo can respond to users by converting text into speech using the pyttsx3 library.
• Weather: Users can ask for the current weather information for a location, and Zozo will provide the information.
• Music player: Zozo can play a collection of music files in the "music" folder. Users can control playback with voice commands or by entering options.
• Alarm: Users can set alarms by specifying the duration in seconds. Zozo will play a sound after the specified time has elapsed.
• Date and time: Users can inquire about the current date and time, and Zozo will provide the information.
• OpenAI integration: Utilize the OpenAI API for advanced language processing (API key required).
• Fallback pipeline model: If the OpenAI API is unavailable, the assistant falls back to a pre-trained pipeline model.
• Clean and minimalist UI design

Prerequisites

• Python 3.x
• OpenAI API
• OpenWeather API
• pyaudio
• joblib
• nltk
• sklearn
• pygame
• tkinter
• requests
• pyttsx3
• word2number
• SpeechRecognition
• jsonlib-python3
• openai
• numpy
• pandas

Getting Started

Installation

1. Clone the repository:

  git clone https://github.com/Amirrezahmi/Zozo-Assistant.git

2. Navigate to the project directory:

  cd Zozo-Assistant

3. Install the required dependencies by running the following command:

  pip install -r requirements.txt

Usage

4. Open the main.py and ui.py files and locate the OPENAI_API_KEY and apiKey variables. Paste your OpenAI API key into OPENAI_API_KEY variable, and paste your OpenWeather API key into apiKey variable.
5. If you don't have a microphone or encounter any issues with the microphone-related functions, in the beginning of running main.py the program asks you that do you have a microphone or not and you can answer no if you don't. In ui.py I haven't implemented a microphone button yet and you should write your input prompt or use buttons, but I'll implement a button for microphone soon!
6. If model2.joblib dosen't work, delete it and run train.py again. Because sometimes the model only works on specefic version of Python that has trained before.
7. Run the main.py script (for console-based) or ui.py script (for user interface (UI)) to start the Zozo Assistant.
8. At the beggining say "Zozo" or "Hey Zozo" to get the Asisstant attention. (If you chossed the microphone option at the begging.)
9. Interact with the chatbot by asking questions, playing music, weather, setting alarms, or requesting the current date and time or any other prompts.
10. To exit the chatbot, say "bye", "goodbye" or "exit".

secreenshot

Here's an screenshot of some sample examples:

Basic and Intuitive User Interface

Zozo Assistant has undergone a transformation from a console-based project to a visually captivating user interface (UI). Although the UI remains basic, it provides a simple and intuitive way for users to interact with the assistant, enhancing their overall experience.

Key Features:

• Basic and minimalist UI design that focuses on functionality.
• Easy navigation through the assistant's features.
• Intuitive controls and straightforward interaction methods.
• Streamlined functionality for seamless execution of commands.

Despite its basic nature, the UI of Zozo Assistant ensures that users can effortlessly interact with the assistant's capabilities without any unnecessary complexity. The clean and minimalist design allows for a distraction-free experience, enabling users to focus on the assistant's functionality and make the most out of their interactions.

Feel free to modify the text according to your preferences and specific features of your UI.

Example of UI

Here's an example video of the UI of Zozo:

20230602_193415.mp4

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b my-new-branch.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the branch: git push origin my-new-branch.
5. Submit a pull request.

License

This project is licensed under the MIT License.

Credits

• OpenAI- For providing the chatbot API.
• tkinter- For creating the user interface (UI) components.
• NLTK - Natural Language Toolkit for text processing.
• scikit-learn- Machine learning library for building the question-answering model.
• PyAudio- For audio input/output functionality.
• pygame- Library for playing music files.
• pyttsx3- Text-to-speech library for speech output.
• SpeechRecognition- Library for speech recognition functionality.
• word2number- Library for converting words to numbers.

Contact

For any questions or inquiries, please contact amirrezahmi2002@gmail.com