Call center cat…high performer.
Category: STEM
Word definitions, synonyms, antonyms via RAPIDAPI
This program gets all definitions of a user-entered word from WORDS API service called RAPIDAPI. Once connected, the response is in JSON and we display the meanings neatly on screen as well as optionally write (append) the word and its meanings(s) and part-of-speech to a csv file. Demonstrates: 1) how to get word definition using […]
Extract sample subset with given criteria
How to load a subset of data from a full dataset with given percentages proportions by a column (“Group” in this example) plus how to import/export the Excel data file. Objective:We have n food items from 4 different groups: dairy, fruits, protein, vegetable in an XLSX sheet with a header and 3 columns: Name, Group, […]
Extended weather forecast via API
In this blog, I share my code on getting extended weather forecasts (multiple days and hours within each day) for any city around the world using openweathermap API. I used Python for this as usual. First, as a developer, I need to get a developer API key from http://api.openweathermap.org which is free for reasonable amount […]
Custom Useful, Fun AI Agents
I have created some custom AI agents for specific, contextual queries that hallucinate less and give you focused answers: for real-life uses or for entertainment. You can start using these tuned and customized agents without distractions. The following two agents are based on OpenAI platform. They’re free to use so far, so no need to […]
Generative Voice AI – resemble.ai
I don’t like the ending tone in some of the words as I don’t use that tone; it seems a bit annoying; also I noticed (may or may not be apparent to you from this quick sample), but the AI model seems to have a more British tonality than American for certain words and expressions. […]
Summarization & Detecting Topics by Deepgram Whisper AI
This is the last of 3-part series on Datagram’s Audio->Text Transcriber using their latest AI engine called Whisper. Be sure to read them in this order, if you haven’t already, to follow along best: To complete essentially all the features I care to implement, today I’m going to add the last 2 features in my […]
AI Transcription with Diarization
This is the last of 3-part series on Datagram’s Audio->Text Transcriber using their latest AI engine called Whisper. Be sure to read them in this order, if you haven’t already, to follow along best: This is a continuation of the post about Deepgram’s AI technology used for transcribing real-time or pre-recorded audio in virtually any […]
Powerful auto-transcription using AI (openAI’s Whisper)
Today, I’ll show you how to tap into the “world’s most powerful speech-to-text API” from our own applications. We’ll be using Deepgram, which is based on OpenAI’s Whisper AI SST technology. Deepgram claims to have trained their AI model with10,000+ years worth of audio data. (For more of my posts about Text to Speech and vice […]
One of the newest TTS on the block
Today, I’ll share some information on one of the latest transformer-based TTS (text-to-speech) or text-to-audio that’s generating some buzz. Yes, AI. While there are several really great models out there from IBM, Microsoft, Google for example, this one’s a little different. Let me introduce Bark. By the way, to see older posts on TTS related […]