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- #Project Title: Talking car
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  A speaking assistant designed for in-car use, leveraging the LLaMA 2 model to facilitate vocal interactions between the car and its users. This notebook provides the foundation for a speech-enabled interface that can understand spoken questions and respond verbally, enhancing the driving experience with intelligent assistance.
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- ##Description
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  This project integrates speech-to-text and text-to-speech functionalities into a car's infotainment system, using the LLaMA 2 model to process and respond to vocal queries from users. It employs Gradio for user interface creation, NexusRaven for function calling, and integrates various APIs to fetch real-time information, making it a comprehensive solution for creating a responsive and interactive car assistant.
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- ##Features
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  • 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.
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  • 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.
@@ -14,14 +14,14 @@ This project integrates speech-to-text and text-to-speech functionalities into a
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  • User-Friendly Gradio Interface: easy-to-use interface for testing and deploying the speaking assistant within the car's infotainment system.
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  • Real-Time Information Retrieval: Capable of integrating with various APIs to provide up-to-date information on weather, routes, points of interest, and more.
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- ##Requirements
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  • Gradio for creating interactive interfaces
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  • Hugging Face Transformers and additional ML models for speech and language processing
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  • NexusRaven for complex function execution
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  All required libraries and packages are directly loaded inside the notebook.
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- ##Installation
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  To set up the speaking assistant in your car's system, follow these steps:
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  1. Run all the cells until the “Interfaces (text and audio)” section.
 
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+ # Project Title: Talking car
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  A speaking assistant designed for in-car use, leveraging the LLaMA 2 model to facilitate vocal interactions between the car and its users. This notebook provides the foundation for a speech-enabled interface that can understand spoken questions and respond verbally, enhancing the driving experience with intelligent assistance.
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+ ## Description
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  This project integrates speech-to-text and text-to-speech functionalities into a car's infotainment system, using the LLaMA 2 model to process and respond to vocal queries from users. It employs Gradio for user interface creation, NexusRaven for function calling, and integrates various APIs to fetch real-time information, making it a comprehensive solution for creating a responsive and interactive car assistant.
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+ ## Features
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  • 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.
12
  • 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.
 
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  • User-Friendly Gradio Interface: easy-to-use interface for testing and deploying the speaking assistant within the car's infotainment system.
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  • Real-Time Information Retrieval: Capable of integrating with various APIs to provide up-to-date information on weather, routes, points of interest, and more.
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+ ## Requirements
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  • Gradio for creating interactive interfaces
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  • Hugging Face Transformers and additional ML models for speech and language processing
21
  • NexusRaven for complex function execution
22
  All required libraries and packages are directly loaded inside the notebook.
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+ ## Installation
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  To set up the speaking assistant in your car's system, follow these steps:
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  1. Run all the cells until the “Interfaces (text and audio)” section.