Move Gala's code over

README.md

@@ -8,13 +8,12 @@ pinned: false
 license: mit
 ---
 
-This is a templated Space for [Shiny for Python](https://shiny.rstudio.com/py/). 
-
+This is a templated Space for [Shiny for Python](https://shiny.rstudio.com/py/).
 
 To get started with a new app do the following:
 
-1) Install Shiny with `pip install shiny`
-2) Create a new app with `shiny create`
-3) Then run the app with `shiny run --reload`
+1. Install Shiny with `pip install shiny`
+2. Create a new app with `shiny create`
+3. Then run the app with `shiny run --reload`
 
 To learn more about this framework please see the [Documentation](https://shiny.rstudio.com/py/docs/overview.html).

app.py

@@ -1,162 +1,53 @@
-import faicons as fa
-import plotly.express as px
+# Example taken from here - https://shinylive.io/py/examples/#map
 
-# Load data and compute static values
-from shared import app_dir, tips
-from shinywidgets import render_plotly
+import os
+from shiny import reactive
+from shiny.express import input, render, ui
+from shinywidgets import render_widget
+import ipyleaflet as ipyl
 
-from shiny import reactive, render
-from shiny.express import input, ui
 
-bill_rng = (min(tips.total_bill), max(tips.total_bill))
-
-# Add page title and sidebar
-ui.page_opts(title="Restaurant tipping", fillable=True)
-
-with ui.sidebar(open="desktop"):
-    ui.input_slider(
-        "total_bill",
-        "Bill amount",
-        min=bill_rng[0],
-        max=bill_rng[1],
-        value=bill_rng,
-        pre="$",
-    )
-    ui.input_checkbox_group(
-        "time",
-        "Food service",
-        ["Lunch", "Dinner"],
-        selected=["Lunch", "Dinner"],
-        inline=True,
-    )
-    ui.input_action_button("reset", "Reset filter")
-
-# Add main content
-ICONS = {
-    "user": fa.icon_svg("user", "regular"),
-    "wallet": fa.icon_svg("wallet"),
-    "currency-dollar": fa.icon_svg("dollar-sign"),
-    "ellipsis": fa.icon_svg("ellipsis"),
+city_centers = {
+    "London": (51.5074, 0.1278),
+    "Paris": (48.8566, 2.3522),
+    "New York": (40.7128, -74.0060),
 }
 
-with ui.layout_columns(fill=False):
-    with ui.value_box(showcase=ICONS["user"]):
-        "Total tippers"
-
-        @render.express
-        def total_tippers():
-            tips_data().shape[0]
-
-    with ui.value_box(showcase=ICONS["wallet"]):
-        "Average tip"
-
-        @render.express
-        def average_tip():
-            d = tips_data()
-            if d.shape[0] > 0:
-                perc = d.tip / d.total_bill
-                f"{perc.mean():.1%}"
-
-    with ui.value_box(showcase=ICONS["currency-dollar"]):
-        "Average bill"
-
-        @render.express
-        def average_bill():
-            d = tips_data()
-            if d.shape[0] > 0:
-                bill = d.total_bill.mean()
-                f"${bill:.2f}"
-
-
-with ui.layout_columns(col_widths=[6, 6, 12]):
-    with ui.card(full_screen=True):
-        ui.card_header("Tips data")
-
-        @render.data_frame
-        def table():
-            return render.DataGrid(tips_data())
-
-    with ui.card(full_screen=True):
-        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
-            "Total bill vs tip"
-            with ui.popover(title="Add a color variable", placement="top"):
-                ICONS["ellipsis"]
-                ui.input_radio_buttons(
-                    "scatter_color",
-                    None,
-                    ["none", "sex", "smoker", "day", "time"],
-                    inline=True,
-                )
-
-        @render_plotly
-        def scatterplot():
-            color = input.scatter_color()
-            return px.scatter(
-                tips_data(),
-                x="total_bill",
-                y="tip",
-                color=None if color == "none" else color,
-                trendline="lowess",
-            )
-
-    with ui.card(full_screen=True):
-        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
-            "Tip percentages"
-            with ui.popover(title="Add a color variable"):
-                ICONS["ellipsis"]
-                ui.input_radio_buttons(
-                    "tip_perc_y",
-                    "Split by:",
-                    ["sex", "smoker", "day", "time"],
-                    selected="day",
-                    inline=True,
-                )
-
-        @render_plotly
-        def tip_perc():
-            from ridgeplot import ridgeplot
-
-            dat = tips_data()
-            dat["percent"] = dat.tip / dat.total_bill
-            yvar = input.tip_perc_y()
-            uvals = dat[yvar].unique()
-
-            samples = [[dat.percent[dat[yvar] == val]] for val in uvals]
+ui.input_text("Text", "Some vector", "London")
 
-            plt = ridgeplot(
-                samples=samples,
-                labels=uvals,
-                bandwidth=0.01,
-                colorscale="viridis",
-                colormode="row-index",
-            )
 
-            plt.update_layout(
-                legend=dict(
-                    orientation="h", yanchor="bottom", y=1.02, xanchor="center", x=0.5
-                )
-            )
+@render_widget
+def map():
+    return ipyl.Map(zoom=4)
 
-            return plt
 
+def use_in_model(x):
+    # TODO: Call some model loaded in huggingface_hub. 
+    # Define the client once then just call the
+    # client from here.
 
-ui.include_css(app_dir / "styles.css")
+    # from huggingface_hub import InferenceClient 
+    # client = InferenceClient(
+    #    api_key=os.environ["HF_TOKEN"],
+    #    provider="auto",
+    # )
+    #
+    # completion = client.chat.completions.create(
+    #    model="deepseek-ai/DeepSeek-V3-0324",
+    #    messages=[{"role": "user", "content": "A story about hiking in the mountains"}]
+    # )
 
-# --------------------------------------------------------
-# Reactive calculations and effects
-# --------------------------------------------------------
+    return x
 
 
-@reactive.calc
-def tips_data():
-    bill = input.total_bill()
-    idx1 = tips.total_bill.between(bill[0], bill[1])
-    idx2 = tips.time.isin(input.time())
-    return tips[idx1 & idx2]
+@render.text
+def text():
+    return ("You entered: " + use_in_model(input.Text()))
 
 
 @reactive.effect
-@reactive.event(input.reset)
 def _():
-    ui.update_slider("total_bill", value=bill_rng)
-    ui.update_checkbox_group("time", selected=["Lunch", "Dinner"])
+    try:
+        map.widget.center = city_centers[use_in_model(input.Text())]
+    except:
+        pass

requirements.txt

@@ -3,4 +3,5 @@ shiny
 shinywidgets
 plotly
 pandas
-ridgeplot
+ridgeplot
+ipyleaflet