Build Talking AI ChatBot with Text-to-Speech using Python!


Summary

The video provides an overview of creating an AI speech bot by discussing the capital of New Zealand, overfitting in machine learning, and the necessary tools such as Assembly AI and Open AI libraries. Viewers receive step-by-step guidance on downloading and setting up required libraries, handling errors during real-time transcription, and creating a conversation loop for generating responses. The process covers generating audio from text responses and testing the application, touching on potential use cases and deployment options for the AI speech bot.


Introduction

Introduction to the video discussing the capital of New Zealand, overfitting in machine learning, and the tools used for creating an AI speech bot.

Downloading Libraries

Instructions on downloading Assembly AI 11 Lab and Open AI libraries for the project.

Setting up API Keys

Guidance on setting up API Keys after importing the required libraries for the project.

Real-time Transcription

Explanation of the process of real-time transcription using Assembly AI and handling errors during transcription.

Handling Conversation Loop

Creation of the main conversation loop to handle real-time transcription and generation of responses using Open AI.

Generating Audio from Text

Using Assembly AI to generate audio from text responses provided by Open AI API, including specifying the voice for audio generation.

Testing the Application

Testing the application by asking a question and receiving a response, followed by discussing potential applications and deployment options.

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