Deploying app

requirements.txt

@@ -1,4 +1,5 @@
 altair
 pandas
 streamlit
-matplotlib
+matplotlib
+faker

src/streamlit_app.py

@@ -1,73 +1,85 @@
-import pandas as pd
 import streamlit as st
+import pandas as pd
+from faker import Faker
 
-# Title
-st.title('Hello, Streamlit!')
-
-# Header
-st.header('This is a header')
-
-# Subheader
-st.subheader('This is a subheader')
-
-# Text
-st.text('Hello, this is a simple text.')
-
-# Markdown
-st.markdown('**This is markdown text**')
-
-# Display Data
-st.write('This is a simple write command.')
-st.write({'key': 'value', 'key2': 'value2'})
-
-# Widgets
-name = st.text_input('Enter your name:')
-st.write('Hello,', name)
-
-age = st.slider('Select your age:', 0, 100, 25)
-st.write('Your age is:', age)
-
-
-# Create a DataFrame
-df = pd.DataFrame({
-    'Column 1': [1, 2, 3, 4],
-    'Column 2': [10, 20, 30, 40]
-})
-
-# Display DataFrame
-st.dataframe(df)
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-# Generate data
-x = np.linspace(0, 10, 100)
-y = np.sin(x)
-
-# Create a plot
-fig, ax = plt.subplots()
-ax.plot(x, y)
-
-# Display the plot
-st.pyplot(fig)
-
-# Button
-if st.button('Click me'):
-  st.write('Button clicked!')
 
-# Checkbox
-agree = st.checkbox('I agree')
-if agree:
-  st.write('Great!')
+# Generate dummy data function
+def generate_dummy_data(n=20):
+    fake = Faker()
+    data = [{
+        "First Name": fake.first_name(),
+        "Last Name": fake.last_name(),
+        "Phone Number": fake.phone_number(),
+        "Address": fake.address().replace('\n', ', ')
+    } for _ in range(n)]
+    return pd.DataFrame(data)
 
-# Radio buttons
-option = st.radio('Choose one:', ['Option 1', 'Option 2', 'Option 3'])
-st.write('You selected:', option)
 
-# Selectbox
-select = st.selectbox('Select a number:', [1, 2, 3, 4])
-st.write('You selected:', select)
+# Initialize session state
+if 'df' not in st.session_state:
+    st.session_state.df = generate_dummy_data()
 
-# Multiselect
-multi_select = st.multiselect('Select multiple options:', [1, 2, 3, 4])
-st.write('You selected:', multi_select)
+# Title
+st.title("Customer CRM App")
+
+# Menu
+option = st.sidebar.radio("Select Action", ["Add", "Delete", "Update", "Search", "View", "Upload CSV"])
+
+# Add customer
+if option == "Add":
+    st.subheader("Add a new customer")
+    first = st.text_input("First Name")
+    last = st.text_input("Last Name")
+    phone = st.text_input("Phone Number")
+    address = st.text_input("Address")
+    if st.button("Add Customer"):
+        st.session_state.df.loc[len(st.session_state.df)] = [first, last, phone, address]
+        st.success("Customer added!")
+
+# Delete customer
+elif option == "Delete":
+    st.subheader("Delete a customer by index")
+    if len(st.session_state.df) > 0:
+        idx = st.number_input("Enter index", min_value=0, max_value=len(st.session_state.df)-1, step=1)
+        if st.button("Delete"):
+            st.session_state.df.drop(index=idx, inplace=True)
+            st.session_state.df.reset_index(drop=True, inplace=True)
+            st.success("Customer deleted!")
+    else:
+        st.warning("No customers to delete.")
+
+# Update customer
+elif option == "Update":
+    st.subheader("Update customer by index")
+    if len(st.session_state.df) > 0:
+        idx = st.number_input("Customer index to update", min_value=0, max_value=len(st.session_state.df)-1, step=1)
+        first = st.text_input("First Name", value=st.session_state.df.at[idx, "First Name"])
+        last = st.text_input("Last Name", value=st.session_state.df.at[idx, "Last Name"])
+        phone = st.text_input("Phone Number", value=st.session_state.df.at[idx, "Phone Number"])
+        address = st.text_input("Address", value=st.session_state.df.at[idx, "Address"])
+        if st.button("Update"):
+            st.session_state.df.loc[idx] = [first, last, phone, address]
+            st.success("Customer updated!")
+    else:
+        st.warning("No customers to update.")
+
+# Search
+elif option == "Search":
+    st.subheader("Search by First Name")
+    query = st.text_input("Enter first name")
+    if st.button("Search"):
+        result = st.session_state.df[st.session_state.df["First Name"].str.contains(query, case=False)]
+        st.write(result)
+
+# View all
+elif option == "View":
+    st.subheader("All Customers")
+    st.dataframe(st.session_state.df)
+
+# Upload CSV
+elif option == "Upload CSV":
+    st.subheader("Upload Dummy CSV")
+    uploaded_file = st.file_uploader("Choose a CSV", type="csv")
+    if uploaded_file is not None:
+        st.session_state.df = pd.read_csv(uploaded_file)
+        st.success("Database loaded from uploaded CSV!")