Integrate a transcribed lecture stored in a user’s account into a dynamic and responsive chatbot capable of answering any questions related to the lecture content.
Enable efficient communication with the Gemini LLM through pre-built APIs optimized for Google Cloud services. This minimizes delays and ensures a responsive user experience within the chatbot. Given Gemini's advanced NLP capabilities, the chatbot should efficiently handle user queries based on the lecture content. Secure and efficient data transfer protocols will be implemented to maintain the integrity of the communication between the web app and the Gemini API.
Passively reading through the transcripts of a lecture might solidify main ideas, but deeper comprehension may demand additional search for resources or explanations online, which can be overwhelming and lead to irrelevant information. This is where our personalized chatbot, seamlessly integrated with transcribed lectures, steps in to offer users a personalized guide to seek immediate clarification on a specific point, find additional information to solidify their understanding, or look for further insights to expand their knowledge.
The web page layout is designed to display users a split view of the lecture's material alongside the interactive chatbot. Users will find an organized display presenting the title, summary, images, and the transcript of a selected lecture on the left side. Flexibility will be given to the user by having the choice to minimize this section, focusing primarily on the chatbot interface on the right side. The chatbot interface will have a clean design, with a user-friendly layout for displaying the input and output of the conversation. A search bar will be placed to allow users to input queries.
Various alternatives were considered for our chatbot's underlying LLM, such as GPT-3, based on their NLP capabilities and overall performance. However, Gemini was chosen due to its native integration with Google Cloud’s Vertex AI, which can streamline deployment, management, and scaling of the LLM within our web app. This integration ensures seamless communication with Gemini through optimized APIs and simplifies resource management on Google Cloud.
Generate a design document template for a web page that will receive the transcript of a lecture in addition to a title, summary, and images, and will offer an interactive chatbot capable of answering questions related to the lecture content.
The template must only include the following sections: