Add docker utils

Dockerfile

@@ -10,10 +10,10 @@ RUN apt-get update && apt-get install -y \
     && rm -rf /var/lib/apt/lists/*
 
 COPY requirements.txt ./
-COPY src/ ./src/
-
 RUN pip3 install -r requirements.txt
 
+COPY src/ ./src/
+
 EXPOSE 8501
 
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health

generate.sh

@@ -0,0 +1,14 @@
+#!/bin/bash
+set -ex
+
+
+# Set the platform flag if we're on ARM
+arch=$(uname -m)
+if [[ "$arch" == "arm64" || "$arch" == "aarch64" ]]; then
+    platform_flag="--platform linux/amd64"
+else
+    platform_flag=""
+fi
+
+
+docker build  $platform_flag -t streamlittest .

runLocal.sh

@@ -0,0 +1 @@
+docker run  -p 4000:8501 -i -t streamlittest /bin/bash

src/streamlit_app.py

@@ -4,37 +4,9 @@ import pandas as pd
 import streamlit as st
 
 """
-# Welcome to Streamlit!
+# Welcome to OpenWorm
 
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+Testing...
 
-In the meantime, below is an example of what you can do with just a few lines of code:
 """
 
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))