Creating an AI Speech Bot Using Assembly AI, Open AI, and 11 Labs
In this video transcription, we are introduced to the process of creating an AI speech bot using Assembly AI, Open AI, and 11 Labs. The AI speech bot is designed to use real-time speech-to-text transcription, answer questions using Open AI's GPT-4, and generate audio from text using 11 Labs. The video provides step-by-step instructions on downloading the necessary Python libraries and setting up API Keys, along with the code blocks for implementing each stage of the AI speech bot.
Introduction
The transcription begins by discussing the concept of overfitting in machine learning, which refers to a model's tendency to learn the training data too well. It then moves on to the main topic of creating an AI speech bot using Assembly AI, Open AI, and 11 Labs.
Setting Up the Environment
To get started with creating the AI speech bot, the transcript provides instructions on downloading the required Python libraries – Assembly AI, 11 Labs, and Open AI. Once the libraries are installed, the process of setting up the API Keys is explained to enable communication with the respective APIs.
Real-Time Speech-to-Text Transcription
The process of implementing real-time speech-to-text transcription using Assembly AI is then discussed. The transcript describes the creation of a transcript queue to store the transcribed text, and the handling of real-time transcription responses and errors.
Handling the Conversation Loop
The conversation loop is introduced, where the transcribed text is passed to the Open AI API to generate a response. The code to generate a response from Open AI API is provided, along with the extraction of the response from the nested JSON structure.
Generating Audio from Text
The final stage involves using 11 Labs to generate audio from the text response obtained from the Open AI API. The transcription offers the code block for generating audio using 11 Labs, specifying the voice to be used and providing a demonstration of playing out the audio.
Testing the AI Speech Bot
The transcription concludes with a demonstration of testing the AI speech bot by asking a question and receiving a response generated by the Open AI API.
Conclusion
The article wraps up with a note on the flexibility of the AI speech bot, suggesting the possibility of deploying it on a website and expanding its functionality to handle images and videos. It also encourages feedback on the demonstrated process and content, inviting readers to share their thoughts in the comments section and subscribe for more AI-related content.
Overall, the video transcription provides a comprehensive guide to creating an AI speech bot using Assembly AI, Open AI, and 11 Labs, offering step-by-step instructions and code blocks for each stage of the process. The demonstration of testing the AI speech bot showcases its potential for real-world applications, emphasizing its versatility and potential for further development.