marwahhh/PharmaDemandd

docs: update System page with HF deployment + hypothesis + live metrics + features

docs: update System page with HF deployment + hypothesis + live metrics + features

fix: forecasting uses auto recent_sales; manual sales optional

fix: forecasting uses auto recent_sales; manual sales optional

fix: forecasting uses auto recent_sales; manual sales optional

UI: forecasting dropdowns + auto-fill recent sales

Add required model + processed data for HF forecasting

Wait for model_loaded=true before starting Streamlit

Fix Forecasting readiness: re-check /health live

Wait for model readiness before starting Streamlit

Update README.md

Track HF-safe reports artifacts (metrics + theme)

Ignore huge joblib model for HF

Deploy PharmaDemand (FastAPI + Streamlit) on HF

Make FastAPI Docker bind to PORT for deployment

Docker compose + UI/API config

Add plotly dependency for Streamlit UI

Add themed Deepchecks report endpoint and update UI link

Add metrics endpoint, serve reports, improve UI, fix DeepChecks export

ci: create minimal model artifacts before pytest

feat: Prefect pipeline + DeepChecks gate; fix CSV writes; ignore artifacts

fix: Prefect flow uses venv interpreter via sys.executable

Update README.md

Revise README with enhanced project details

Update README with project details and instructions

fix: CI-safe artifact loading; guard model/cooc per endpoint

fix: restore runtime processed artifacts

fix: allow required processed artifacts for CI

chore: stop tracking local test csv

chore: ignore datasets/artifacts; keep only models/latest

Fix CI: split requirements (runtime/dev/windows)

Fix CI: gate pywin32 to Windows only

Fix CI: make pywin32 Windows-only

Initial: FastAPI + ML pipeline + tests + Docker + CI

Initial commit