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Library/ Deep Learning/ Module 4 · Project 3: Electricity Demand Forecasting (time series with RNN/LSTM)/ 4.6 Deploy the model

subtopic

Gradio forecasting app and README

15 min applied15 min research2 curated resources

Build an app: pick a date in the test period → the app takes the previous 168 hours, scales them with the saved scaler, runs the model and plots the next 24 hours vs the actual load, with the day's MAE. Publish on Hugging Face Spaces and write the README with the results table.

Builds on: 2.7 Deploy the model

Notes, key code, what to skip and 2 curated resources are inside the platform.Join the waitlist and we'll build you a roadmap that includes this topic only if your goal needs it.

Gradio forecasting app and README · 1x1labs.ai