Скачать или смотреть GUI Python - Voice Assistant

This Python script sets up a graphical user interface (GUI) for an AI-powered command interface. It leverages several libraries such as Tkinter, speech recognition, text-to-speech, Wikipedia, web browser, weather API, and WolframAlpha API to provide a versatile assistant. Here's an in-depth explanation of each component and their roles in the script:

Key Components and Functionality
Initialization and Setup:

Text-to-Speech Engine (pyttsx3): The script initializes the text-to-speech engine, selecting a voice from the available options.
WolframAlpha Client: Initializes the WolframAlpha client using a provided API key to answer factual queries.
Core Functions:

speak(audio): Uses the text-to-speech engine to convert text to spoken audio.
take_command(): Listens for a voice command, recognizes it using Google’s speech recognition, and returns the recognized text. If recognition fails, it prompts the user to speak again.
greet_user(): Greets the user based on the current time of day and introduces the assistant.
search_wikipedia(query): Searches Wikipedia for a given query and reads out a summary.
open_website(query): Opens a website specified in the query using the default web browser.
get_weather(city): Fetches weather information for a specified city using the OpenWeatherMap API and reads it out.
answer_query(query): Queries WolframAlpha for factual information and reads out the result.
execute_command(command): Executes a system command and reads out the result or any errors.
GUI Components (Tkinter):

Main Window: Sets up the main window for the GUI with specified dimensions and color scheme.
Chat Window: A scrolled text widget to display the conversation between the user and the assistant.
Entry Box: An entry box for the user to type commands if they prefer not to use voice commands.
Buttons: Includes buttons to start the assistant, use the microphone, and send typed commands. The buttons are configured to call specific functions when clicked.
User Interaction Handling:

on_start_clicked(): Starts the assistant, greets the user, and enables the input fields and microphone button.
on_enter_pressed(event): Handles the event when the user presses the Enter key after typing a command. It processes the input and displays it in the chat window.
on_mic_clicked(): Activates the microphone to take a voice command, processes it, and displays it in the chat window.
Query Processing:

process_query(query): Determines the type of command and calls the appropriate function. It handles Wikipedia searches, website openings, weather queries, OS command executions, and WolframAlpha queries.
Running the Script
The script initializes and configures the main GUI window, then enters the main event loop to wait for user interaction. The assistant can be started by clicking the "Start Assistant" button, after which the user can either type their commands or speak them using the microphone button.

Enhancements
Exception Handling: Enhanced to ensure that unexpected errors do not crash the application.
Threading: Consider using threading for speech recognition and web requests to keep the GUI responsive.
API Key Management: For security, API keys should be stored securely, for example, in environment variables or configuration files.
This script provides a comprehensive framework for an interactive AI assistant, demonstrating integration with various APIs and providing both voice and text-based interaction capabilities.


GitHub - https://github.com/sumit7366/sumit736...

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