Create app.py

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def visualize(data):
+    # Convert to DataFrame (list of dicts or rows)
+    df = pd.DataFrame(data, columns=["Name", "Age", "Score"])
+
+    # Bar chart
+    plt.figure(figsize=(5,4))
+    plt.bar(df["Name"], df["Score"], color="skyblue")
+    plt.title("Scores by Person")
+    plt.xlabel("Name")
+    plt.ylabel("Score")
+    plt.tight_layout()
+    plt.savefig("bar.png")
+    plt.close()
+
+    # Pie chart
+    plt.figure(figsize=(4,4))
+    plt.pie(df["Score"], labels=df["Name"], autopct="%1.1f%%")
+    plt.title("Score Distribution")
+    plt.savefig("pie.png")
+    plt.close()
+
+    return ["bar.png", "pie.png"]
+
+# Gradio interface
+gr.Interface(
+    fn=visualize,
+    inputs=gr.Dataframe(
+        headers=["Name", "Age", "Score"],
+        row_count=3,                 # make sure it accepts 3 rows
+        col_count=3,
+        label="Enter data for 3 people"
+    ),
+    outputs=gr.Gallery(columns=2, label="Charts"),
+    title="People Score Visualizer"
+).launch()