danmarauda / GroqVoice-Assistant

"GroqVoice Assistant" combines Groq AI and Deepgram technologies to offer a voice-activated interface that understands and responds to user inputs. This assistant simplifies interactions with technology using natural, conversational speech.

Talking Assistant with Groq-AI

Overview

This project implements a talking assistant that utilizes advanced AI capabilities for speech-to-text and text-to-speech functionalities. The application allows users to interact using their voice, processes the input through Groq AI, and responds audibly using Deepgram's text-to-speech technology.

Technologies Used

• Groq API: Leveraged for AI-driven chat completions, making use of the powerful Llama3-70b model.
• Deepgram: Utilized for converting text responses back into speech, providing a seamless conversational experience.
• Streamlit: Serves as the frontend framework to create an interactive web application.
• Bokeh: Used within Streamlit to manage interactive elements, such as buttons that trigger speech recognition.
• Python: The core programming language used for the backend processing.

Files Description

• app.py: Main application file that initializes the Streamlit interface, handles speech-to-text functionality, integrates Groq AI for processing user input, and utilizes the text-to-speech capabilities of Deepgram.
• groq_ai.py: Defines the generate_response function which interacts with the Groq API to convert user speech input into text and process it through an AI model to generate a response.
• TTS.py: Handles the text-to-speech conversion using Deepgram's API, turning the AI-generated text responses into audible speech.

Installation and Setup

1. Clone the repository:

   git clone [repository-url]

2. Install required dependencies:

   pip install -r requirements.txt

3. Set up environment variables:
   • GROQ_API_KEY: Your Groq API key.
   • DG_API_KEY: Your Deepgram API key.

Running the Application

To run the application, execute the following command in your terminal:

streamlit run app_s.py

License

Mozilla Public License 2.0

Contributors

• LIAICHI MUSTAPHA

Feel free to contribute to this project by submitting issues or creating pull requests.