Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,45 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+
+st.set_page_config(page_title="Data Visualization App", page_icon="📊", layout="wide")
+
+st.title("📊 Interactive Data Visualization App")
+
+uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
+
+if uploaded_file is not None:
+    df = pd.read_csv(uploaded_file)
+
+    st.subheader("🔍 Data Preview")
+    st.dataframe(df.head())
+
+    st.subheader("📈 Data Summary")
+    st.write(df.describe())
+
+    st.subheader("🎨 Visualization Options")
+    columns = df.columns.tolist()
+
+    chart_type = st.selectbox("Select chart type", ["Line", "Bar", "Scatter", "Histogram", "Pie"])
+    x_axis = st.selectbox("Select X-axis", columns)
+    y_axis = st.selectbox("Select Y-axis", columns)
+
+    fig, ax = plt.subplots(figsize=(8, 5))
+
+    if chart_type == "Line":
+        ax.plot(df[x_axis], df[y_axis])
+    elif chart_type == "Bar":
+        ax.bar(df[x_axis], df[y_axis])
+    elif chart_type == "Scatter":
+        ax.scatter(df[x_axis], df[y_axis])
+    elif chart_type == "Histogram":
+        ax.hist(df[y_axis], bins=20)
+    elif chart_type == "Pie":
+        df.groupby(x_axis)[y_axis].sum().plot(kind="pie", autopct="%1.1f%%", ax=ax)
 
-"""
-# Welcome to Streamlit!
-
-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).
-
-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])),
-    ))
+    ax.set_xlabel(x_axis)
+    ax.set_ylabel(y_axis)
+    ax.set_title(f"{chart_type} Chart of {y_axis} vs {x_axis}")
+    st.pyplot(fig)
+else:
+    st.info("👆 Upload a CSV file to begin exploring your data.")