added streamlit from another branch

Dockerfile.txt

@@ -0,0 +1,23 @@
+# app/Dockerfile
+
+FROM python:3.9-slim
+
+# Copy Code
+WORKDIR /wise_pizza
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY . .
+
+RUN pip3 install -r docker_requirements.txt
+
+EXPOSE 8501
+
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+
+ENTRYPOINT ["streamlit", "run", "streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]

README.md

@@ -34,6 +34,8 @@ Sometimes, rather than explaining the change in totals from one period to the ne
     - [Comparison between two datasets](#understanding-differences-in-two-time-periods-or-two-dataframes)
 - [Installation](#installation)
 - [Quick Start](#quick-start)
+- [Streamlit app](#streamlit-app)
+    - [Docker container](#docker-container)
 - [For Developers](#for-developers)
  - [Tests](#testing)
 
@@ -146,6 +148,31 @@ sf.relevant_cluster_names
 
 Please see the full example [here](https://github.com/transferwise/wise-pizza/blob/main/notebooks/Finding%20interesting%20segments.ipynb)
 
+## Streamlit app
+In the root directory of this repository, there is a Streamlit app. This is an interface that allows you to upload your own files and run analyses, as you saw in the Jupyter Notebook provided as an example.
+
+To run this, you need to:
+1. Create a virtual environment (e.g. using pyenv)
+2. Activate the virtual environment
+3. Run `pip -r requirements.txt` before running, to install necessary dependencies
+4. Run `streamlit run streamlit_app.py` to run Streamlit
+
+### Docker container
+
+We created a Docker container that makes it easier to deploy this solution elsewhere
+
+You need to first: Create the Docker image
+Create the Docker image
+
+```Python
+docker build -t streamlit .      
+```
+And then simply run the image
+
+```Python
+docker run -p 8501:8501 streamlit    
+```
+
 ## For Developers
 
 

Untitled.ipynb

@@ -0,0 +1,63 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "25435673",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import streamlit as st\n",
+    "col1, col2 = st.columns(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f0a397a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "with col1:\n",
+    "    print(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f106bb9b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

docker_requirements.txt

@@ -0,0 +1,12 @@
+ipython==8.14.0
+kaleido==0.2.1
+numpy==1.24.0
+pandas==2.0.2
+pytest==7.4.3
+plotly==5.15.0
+scikit_learn==1.3.2
+scipy==1.8.0
+tqdm==4.66.1
+cloudpickle==3.0.0
+pivottablejs==0.9.0
+streamlit==1.28.0