AI Aliza: An Interactive Chatbot with NVIDIA Riva and Flask (Beta)
In the realm of artificial intelligence, the integration of natural language processing has opened up vast possibilities for human-computer interaction.
Chatbots, in particular, stand as a prime example of this convergence, offering seamless communication between users and machines. In this tutorial, we embark on a journey to develop “AI Aliza” – a sophisticated chatbot designed to engage users in meaningful conversations. Leveraging the power of NVIDIA Riva for speech recognition and synthesis, coupled with Flask for backend communication, we’ll explore how to construct a dynamic and interactive chatbot that responds to user inquiries and prompts with finesse.
Join us as we delve into the intricacies of building AI Aliza, bridging the gap between human dialogue and artificial intelligence.
Frequently Asked Questions
AI Aliza is developed using a combination of HTML/CSS/JS for the frontend, Python with Flask for the backend, and NVIDIA Riva for speech recognition and synthesis. HTML/CSS/JS handle the user interface and interactions on the frontend, while Python with Flask manages the server-side logic and communication with the NVIDIA Riva services.
When a user interacts with AI Aliza, their message is sent to the backend server. The backend then utilizes NVIDIA Riva’s speech recognition capabilities to transcribe the user’s speech into text. This text is processed by the backend logic, which may involve natural language understanding techniques or other algorithms depending on the application. Once processed, a response is generated, and if applicable, it’s synthesized into speech using NVIDIA Riva’s text-to-speech service before being sent back to the user.