Features

• Voice Input: The assistant can listen to voice inputs, recognize the speech, and generate a response.
• Text Input: Users can also type their queries directly and get responses.
• Text-to-Speech: The responses are converted to speech and can be downloaded as an MP3 file.
• Logging: The application logs important events and errors for easier debugging and maintenance.

Project Structure

project/ │ ├── src/ │ ├── init.py │ ├── ai_assistant.py │ └── ui_handler.py │ ├── app.py └── app.log

• src/ai_assistant.py: Contains the AIAssistant class that handles voice input, text-to-speech conversion, and response generation.
• src/ui_handler.py: Contains the UIHandler class that manages the Streamlit UI.
• app.py: The main entry point for the Streamlit app.
• app.log: The log file where all the logging information is saved.

Setup and Installation

1. Clone the repository: bash git clone https://github.com/Shakil10945/Multilingual_AI_Assistant_using_Python cd Multilingual_AI_Assistant_using_Python

2. Create and activate a virtual environment:

   bash python -m venv venv source venv/bin/activate # On Windows use venv\Scripts\activate

3. Install the required dependencies:

   bash pip install -r requirements.txt

4. Set up the Google API key:

   Replace *************************** in app.py with your actual Google API key.

5. Run the application:

   bash streamlit run app.py

Usage

• Voice Input: Click on the "Ask me anything by voice!" button, speak into your microphone, and wait for the response.
• Text Input: Type your query in the text input box and click the "Submit" button to get a response.

Requirements

• Python 3.7 or higher
• Streamlit
• SpeechRecognition
• google-generativeai
• gTTS

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.

Acknowledgments

• This project uses the Google Cloud Speech-to-Text and Text-to-Speech APIs.
• Streamlit for the easy-to-use web application framework.

requirements.txt

Ensure you also have a requirements.txt file for easy dependency installation: plaintext streamlit SpeechRecognition google-generativeai gTTS