📚 This video is a course introduction for building a chatbot using React and FAST API.
💻 The course covers topics such as React crash course, environment setup, backend and frontend build, and making the chatbot interactive.
🔧 Tailwind CSS is used for styling and several extensions are recommended for development in Visual Studio Code.
🔑 To set up the project, ensure that Python version 3.63.7 or above is installed and install the Python package manager. For Node.js, download and install Node.js, and install the yarn and TS node packages.
💻 To set up the backend, create a virtual environment, install the required Python packages using pip, and configure the Fast API. Test the backend by running the main file with uvicorn.
⚛️ To set up the frontend, create a React project with Veet, install required packages using yarn, and configure Tailwind CSS. Test the frontend by running the project using yarn.
📝 The goal of this video is to build a ChatGPT AI voice chatbot using React and FAST API.
💻 The video focuses on setting up the back-end of the chatbot, including importing necessary libraries, handling cross-origin resource sharing, and creating endpoints for audio input and text conversion.
🔗 The transcript also covers using the OpenAI API to convert audio to text and making requests to the ChatGPT model to generate responses.
🤖 Setting up a function to retrieve recent messages to feed into ChatGPT.
💾 Creating a database using a JSON file to store conversation history.
💬 Building a function to get a response from ChatGPT and store it in the database.
🔑 The video demonstrates how to create an AI voice chatbot using React and FAST API.
💡 The developer shows how to use the 11 Labs API to convert chat GPT's response into a human voice.
🎉 The video explains how to set up the front end and back end of the chatbot application.
📝 The video is about building a chatbot using React and the FAST API.
👩💻 The transcription discusses the implementation of the 'reset conversation' function, which allows users to reset the chatbot conversation history.
🎙️ The video also covers the creation of a recording function for audio messages in the chatbot.
The video demonstrates how to incorporate a record function and display recorded audio messages in a chatbot.
The tutorial highlights the process of sending recorded audio files to a backend server using Blob URLs and handling the response.
The speaker discusses the implementation of a conversation UI, including displaying messages, sender names, and a loading indicator.
📝 The video discusses the process of updating and customizing a chatbot called Rachel, changing her role from an interviewer to a Spanish teacher and then to a salesperson.
🤖 Rachel is able to teach Spanish vocabulary and facts about Spain, as well as provide tailored travel recommendations and information about the Maldives.
👍 The performance of the chatbot, Rachel, is impressive, as it successfully adapts to different roles and effectively communicates with the user.
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