Code Editor for app.py

import streamlit as st
import plotly.express as px
import numpy as np
from sklearn.cluster import KMeans

st.title("3D Data Clustering Visualizer")

# Generate synthetic 3D data
n_samples = st.slider("Number of Samples", 100, 1000, 300)
n_clusters = st.slider("Number of Clusters", 2, 10, 3)

np.random.seed(42)
data = np.random.rand(n_samples, 3)

# Apply k-means clustering
kmeans = KMeans(n_clusters=n_clusters)
kmeans.fit(data)
labels = kmeans.labels_

# Plot 3D clusters
fig = px.scatter_3d(
    x=data[:, 0], y=data[:, 1], z=data[:, 2],
    color=labels.astype(str),
    title="3D K-Means Clustering",
    labels={'x': 'X', 'y': 'Y', 'z': 'Z'}
)
st.plotly_chart(fig)