AI-Chatbot

This is a virtual assistant application that integrates speech recognition, text-to-speech, real-time search, automation, and a graphical user interface (GUI). It is designed to interact with users, perform tasks, and provide intelligent responses based on user queries.

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Features

• Speech Recognition: Converts user speech into text for processing.
• Text-to-Speech: Converts text responses into speech for user interaction.
• Real-Time Search: Performs real-time searches using Google and Groq APIs.
• Automation: Handles tasks like opening/closing apps, performing searches, and more.
• Image Generation: Generates images based on prompts using the Hugging Face API.
• GUI: A user-friendly graphical interface built with PyQt5.
• Chatbot: Conversational AI for general queries.

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Project Structure

AI-Chatbot/ ├── Backend/ │ ├── Automation.py # Handles automation tasks │ ├── Chatbot.py # Conversational AI chatbot │ ├── ImageGenereation.py # Image generation using Hugging Face API │ ├── Model.py # Decision-making model for query classification │ ├── RealtimeSearchEngine.py # Real-time search functionality │ ├── SpeechToText.py # Converts speech to text │ ├── TextToSpeech.py # Converts text to speech │ └── pycache/ # Compiled Python files │ ├── Frontend/ │ ├── GUI.py # GUI implementation using PyQt5 │ ├── Files/ # Temporary data files │ ├── Graphics/ # Graphical assets (icons, animations, etc.) │ └── pycache/ # Compiled Python files │ ├── Data/ │ ├── ChatLog.json # Stores chat history │ ├── Voice.html # HTML file for speech recognition │ └── speech.mp3 # Temporary file for generated speech │ ├── venv/ # Virtual environment (excluded from Git) ├── Main.py # Entry point of the application ├── .env # Environment variables (excluded from Git) ├── Requirements.txt # Python dependencies └── README.txt # Project documentation

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Installation

1. Clone the repository: git clone https://github.com/parth171106/AI-Bot.git cd AI-Chatbot

2. Create and activate a virtual environment: python -m venv venv venv\Scripts\activate # On Windows

3. Install dependencies: pip install -r Requirements.txt

4. Set up environment variables:

   • Create a .env file in the root directory.
   • Add the following: API_KEY=your_api_key ASSISTANT_NAME=YourPreferredName USER_NAME=YourName

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Usage

1. Run the application: python Main.py

2. Interact with the assistant via the GUI:

   • Use the microphone to give voice commands.
   • View responses in the chat window.

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Technologies Used

• Python: Core programming language.
• PyQt5: For building the graphical user interface.
• edge-tts: For text-to-speech conversion.
• Hugging Face API: For image generation.
• Groq API: For chatbot and real-time search functionality.

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Future Improvements

• Enhance error handling for better user experience.
• Optimize the decision-making model for faster query classification.
• Add more automation tasks and integrations.
• Improve documentation and testing.

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Contributing

Contributions are welcome! Feel free to fork the repository and submit a pull request.

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Contact

For any inquiries or issues, please contact:

• Name: Parth Khunt
• Email: alpha.parth009@gmail.com