Add Dash app template

Dockerfile

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+FROM python:3.12
+COPY --from=ghcr.io/astral-sh/uv:0.4.20 /uv /bin/uv
+
+RUN useradd -m -u 1000 user
+ENV PATH="/home/user/.local/bin:$PATH"
+ENV UV_SYSTEM_PYTHON=1
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN uv pip install -r requirements.txt
+
+COPY --chown=user . /app
+USER user
+
+CMD ["gunicorn", "app:server", "--workers", "4", "--bind", "0.0.0.0:7860"]

app.py

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+from dash import Dash, dcc, callback, Output, Input
+import plotly.express as px
+import pandas as pd
+
+df = pd.read_csv(
+    "https://raw.githubusercontent.com/plotly/datasets/master/gapminder_unfiltered.csv"
+)
+
+app = Dash()
+
+server = app.server
+
+app.layout = [
+    dcc.Markdown("""
+        # Welcome to Plotly Dash!
+                 
+        With Dash Open Source, you can create data apps on your laptop in pure Python, 
+        no JavaScript required.
+
+        Get familiar with Dash by building a [sample app](https://dash.plotly.com/tutorial) 
+        with open source. Scale up with [Dash Enterprise](https://plotly.com/dash/) when 
+        your Dash app is ready for department or company-wide consumption. Or, launch your 
+        initiative with Dash Enterprise from the start to unlock developer productivity 
+        gains and hands-on acceleration from Plotly's team.
+                 
+        Try out this Dash app by changing the dropdown value, or get started with Dash on
+        HuggingFace by using this app [as a template](http://huggingface.co/new-space?template=plotly/dash-app-template).
+    """),
+    dcc.Dropdown(df.country.unique(), "Canada", id="dropdown-selection"),
+    dcc.Graph(id="graph-content"),
+]
+
+
+@callback(Output("graph-content", "figure"), Input("dropdown-selection", "value"))
+def update_graph(value):
+    dff = df[df.country == value]
+    return px.line(dff, x="year", y="pop")
+
+
+if __name__ == "__main__":
+    app.run(debug=True)

requirements.txt

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+dash
+gunicorn
+pandas