#Streamlit-cloud
Showing 3 of 3 repositories tagged #streamlit-cloud, ranked by stars
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
This repository hosts a collection of custom web applications powered by OpenAI's GPT models (incl. o1, o3-mini, GPT-4.5, GPT-4o, and GPT-4o mini), Whisper model, and TTS model. These apps include an interactive chatbot ("Talk to GPT") for text or voice communication, and a coding assistant ("CodeMaxGPT") that supports various coding tasks.
YouTube Sentiment Analysis is a web application that analyzes the sentiment of YouTube comments, providing insights into comment sentiment using VADER sentiment analysis and interactive visualizations.