My pastor @pst_iren has a new movie out
You don’t have to go to a physical cinema,you can watch it from anywhere,
It’s a Virtual Cinema Experience.
Do well to get your tickets from
https://t.co/3hyfDigbFp
Oyaaaaa go and buy your tickets ✨✨✨
Service tomorrow is going to be fiery!
Celebration Church will be forever known as a praying church.
Join the army.
Worship with us tomorrow.
Venue: Venue: Celebr8 Center, Vori Close, Acme Road, Ikeja, Lagos.
Time: 8am, 10:30am
@oadefisayo@IzukennyBliss@olaolusofowora But don't you think the point still stands? You can call it a conjecture but at least try not to miss the point that is being passed across. Moving on and pressing into what God has prepared for you is the lesson. Let's stop gasping at straws. It takes us nowhere
“Posterity will judge our generation for entertaining the faux comparison between Lionel Messi and Cristiano Ronaldo as though it were a genuine rivalry.”
I just deployed my website...No more overthinking, no more waiting to be perfect. Just build
A moving man will meet his own luck
https://t.co/J8iGginE62
Full-stack details:
* PyTorch CNN for speech / scikit-learn pipeline for text
* Real-time mic capture via Streamlit + librosa preprocessing
* Spotify OAuth integration, creates a public playlist with 10 tracks matching your mood
* Dockerized and deployed on HF spaces
The text model uses TF-IDF + Logistic Regression on 20k labeled samples. Cleaner architecture, but it still hits 86.7% accuracy, and I think it's solid enough to ship while I work on improving it.
The speech emotion model is a custom CNN trained on mel-spectrograms (TESS dataset). It hits 96.4% test accuracy across 7 emotions, with several classes (Sad, Angry, Calm) at 100% precision/recall.