Joas is a machine learning (ML) and artificial intelligence (AI) enthusiast passionate about using these technologies to solve real-world problems. He believes that ML and AI have the power to transform industries and improve people’s lives and is always exploring new ways to apply these technologies. As a lifelong learner, Joas is constantly seeking out new tools and techniques to expand his skillset and keep up with the latest developments in the field.
In this article, we’ll explore how to build a chat summarizer using the Cohere API and deploy it as a web application using Gradio. Cohere is an AI platform that provides state-of-the-art natural language processing models for a variety of tasks, including summarization. We’ll cover the steps involved in training the summarizer using sample chat conversations, interacting with the Cohere API to generate summaries, and creating a user-friendly interface using Gradio.
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Dive into an article where you will build an app that evaluates audio files for positive and negative sentiments. The idea is that you will create an interface for uploading an audio file, then transcribe the contents into text before analyzing the text and assigning it a positive or negative score for how the tone is perceived.
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