Cleanup README

README.md

@@ -8,33 +8,31 @@ This project integrates speech-to-text and text-to-speech functionalities into a
 
 ## Features
 
-•	Speech-to-Text and Text-to-Speech: Enables the car assistant to listen to spoken questions and respond audibly, providing a hands-free experience for drivers and passengers.
-•	Intelligent Function Calling with NexusRaven: Implements a sophisticated system for executing commands and retrieving information based on user queries, using the LLaMA 2 model's capabilities.
-•	Dynamic Model Integration: Incorporates multiple models for language recognition, speech processing, and text generation.
-•	User-Friendly Gradio Interface: easy-to-use interface for testing and deploying the speaking assistant within the car's infotainment system.
+•	Speech-to-Text and Text-to-Speech: Enables the car assistant to listen to spoken questions and respond audibly, providing a hands-free experience for drivers and passengers.  
+•	Intelligent Function Calling with NexusRaven: Implements a sophisticated system for executing commands and retrieving information based on user queries, using the LLaMA 2 model's capabilities.  
+•	Dynamic Model Integration: Incorporates multiple models for language recognition, speech processing, and text generation.  
+•	User-Friendly Gradio Interface: easy-to-use interface for testing and deploying the speaking assistant within the car's infotainment system.  
 •	Real-Time Information Retrieval: Capable of integrating with various APIs to provide up-to-date information on weather, routes, points of interest, and more.
 
 ## Requirements
 
-•	Gradio for creating interactive interfaces
-•	Hugging Face Transformers and additional ML models for speech and language processing
-•	NexusRaven for complex function execution
+•	Gradio for creating interactive interfaces  
+•	Hugging Face Transformers and additional ML models for speech and language processing  
+•	NexusRaven for complex function execution  
 All required libraries and packages are directly loaded inside the notebook.
 
 ## Installation
 
-To set up the speaking assistant in your car's system, follow these steps:
-1.	Run all the cells until the “Interfaces (text and audio)” section.
-2.	Choose between the interfaces which one to run: audio-to-audio or text-to-text.
-Usage
-1.	Model Setup: Begin by loading the necessary models for speech recognition, language processing, and text-to-speech conversion as detailed in the "Models loads" section.
-2.	Function Definition: Customize the assistant's responses and capabilities by defining functions in the "Function calling with NexusRaven" section.
-3.	Interface Configuration: Choose the Gradio interface that suits your in-car system, following setup instructions in the "Interfaces (text and audio)" section.
-4.	Activation: Execute one of the interface to start the speaking assistant, enabling vocal interactions within the car.
+To set up the speaking assistant in your car's system, follow these steps:  
+1.	Run all the cells until the “Interfaces (text and audio)” section.  
+2.	Choose between the interfaces which one to run: audio-to-audio or text-to-text.  
+### Usage
+1.	Model Setup: Begin by loading the necessary models for speech recognition, language processing, and text-to-speech conversion as detailed in the "Models loads" section.  
+2.	Function Definition: Customize the assistant's responses and capabilities by defining functions in the "Function calling with NexusRaven" section.  
+3.	Interface Configuration: Choose the Gradio interface that suits your in-car system, following setup instructions in the "Interfaces (text and audio)" section.  
+4.	Activation: Execute one of the interface to start the speaking assistant, enabling vocal interactions within the car.  
 
 ## Authors and acknowledgment
 
-Sasan Jafarnejad
-Abigail Berthe--Pardo
-
-
+Sasan Jafarnejad  
+Abigail Berthe--Pardo