Create app.py

app.py

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+import streamlit as st
+import random
+
+def perform_sampling(population_size, sample_size, seed=None):
+    if seed is not None:
+        random.seed(seed)
+    population = list(range(1, population_size + 1))
+    if sample_size > population_size:
+        st.error("Sample size cannot be greater than population size.")
+        return None
+    sample = random.sample(population, sample_size)
+    return sample
+
+def main():
+    # Sidebar for user inputs
+    st.sidebar.title("Input Parameters")
+    population_size = st.sidebar.number_input('Enter Population Size', min_value=1, value=1000, step=1)
+    sample_size = st.sidebar.number_input('Enter Sample Size', min_value=1, value=50, step=1)
+    seed = st.sidebar.number_input('Enter Random Seed (optional)', min_value=0, value=None, step=1, format='%d', key='seed')
+
+    # Main screen for title, description, and output
+    st.title('Simple Random Sampling App')
+    st.markdown("""
+        ## Description
+        This application performs simple random sampling on a specified population. Enter the population size,
+        sample size, and an optional random seed in the sidebar and press 'Generate Sample' to see the results.
+        
+        ## Instructions
+        - **Population Size**: Total number of items in your population.
+        - **Sample Size**: Number of items to randomly select from your population.
+        - **Random Seed**: A seed value to ensure reproducibility of your sample.
+    """)
+
+    if st.sidebar.button('Generate Sample'):
+        sample = perform_sampling(population_size, sample_size, seed)
+        if sample is not None:
+            st.write(f'### Random Sample Output')
+            st.write(f'Random Sample: {sample}')
+            st.write(f'Sample Size: {len(sample)}')
+            if seed is not None:
+                st.write(f'Random Seed Used: {seed}')
+
+if __name__ == '__main__':
+    main()