Update Docker streamlit template space
Browse files- Dockerfile +3 -2
- README.md +6 -1
- requirements.txt +3 -0
- src/streamlit_app.py +40 -0
Dockerfile
CHANGED
@@ -9,7 +9,8 @@ RUN apt-get update && apt-get install -y \
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git \
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&& rm -rf /var/lib/apt/lists/*
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-
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RUN pip3 install -r requirements.txt
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@@ -17,4 +18,4 @@ EXPOSE 8501
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HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
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-
ENTRYPOINT ["streamlit", "run", "streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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git \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt ./
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COPY src/ ./src/
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RUN pip3 install -r requirements.txt
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HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
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ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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README.md
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short_description: Streamlit template space
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---
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-
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short_description: Streamlit template space
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---
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# Welcome to Streamlit!
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Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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requirements.txt
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altair
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pandas
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streamlit
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src/streamlit_app.py
ADDED
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import altair as alt
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import numpy as np
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import pandas as pd
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import streamlit as st
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"""
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# Welcome to Streamlit!
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Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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In the meantime, below is an example of what you can do with just a few lines of code:
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"""
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num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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indices = np.linspace(0, 1, num_points)
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theta = 2 * np.pi * num_turns * indices
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radius = indices
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x = radius * np.cos(theta)
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y = radius * np.sin(theta)
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df = pd.DataFrame({
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"x": x,
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"y": y,
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"idx": indices,
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"rand": np.random.randn(num_points),
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})
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st.altair_chart(alt.Chart(df, height=700, width=700)
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.mark_point(filled=True)
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.encode(
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x=alt.X("x", axis=None),
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y=alt.Y("y", axis=None),
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color=alt.Color("idx", legend=None, scale=alt.Scale()),
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size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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))
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