Make the app deployable on Streamlit Community Cloud (deploy prep)

README.md

@@ -110,6 +110,15 @@ core test suite.
 *Planned (not in v0.8): Plotly interactivity, a `K(r, t)` time-slider
 animation, and multi-file comparison — see [`app/README.md`](app/README.md).*
 
+### Deploy (Streamlit Community Cloud)
+
+The app deploys on [Streamlit Community Cloud](https://share.streamlit.io) with
+no extra setup: point a new app at **`app/streamlit_app.py`** on the **`main`**
+branch. Dependencies install from the repo-root **`requirements.txt`** (the
+package + its `gui` extra; `runtime.txt` pins Python 3.12). The app resolves the
+bundled `examples/*.npz` from its own file location, so the example dropdown
+works in the cloud sandbox. Every push to `main` triggers an automatic redeploy.
+
 ## 2D kernels
 
 2D input `K(x, y, t)` is handled by **radial reduction with full-2D moments**:

requirements.txt

@@ -0,0 +1,18 @@
+# Streamlit Community Cloud installs the app's dependencies from this file.
+#
+# Install the package itself with its `gui` extra, from the repo root. This
+# pulls the runtime deps (numpy, scipy, matplotlib) + streamlit, plus the
+# kernel_viewer / stateflow packages, in one line.
+#
+# yupi is intentionally NOT listed: it is only the `examples` extra used by the
+# offline data generator (examples/generate_yupi_examples.py). The deployed app
+# loads the committed examples/*.npz and never imports yupi.
+#
+# If a Streamlit Cloud image rejects the editable install, replace the line
+# below with the explicit, non-editable form:
+#     numpy>=1.24
+#     scipy>=1.10
+#     matplotlib>=3.7
+#     streamlit>=1.30
+#     .
+-e .[gui]

runtime.txt

@@ -0,0 +1 @@
+python-3.12