Update app.py

app.py

@@ -31,5 +31,107 @@ def load_url(url):
             return pd.read_csv(io.StringIO(response.text))
         elif url.endswith(".json"):
             return pd.read_json(io.StringIO(response.text))
-        elif url.endsw
-        
+        elif url.endswith(".xlsx") or url.endswith(".xls"):
+            return pd.read_excel(io.BytesIO(response.content))
+    except Exception as e:
+        print("URL load error:", e)
+    return pd.DataFrame()
+
+# Process both file and URL
+def process_inputs(file, url):
+    global df_global
+    df = load_url(url) if url else load_data(file)
+
+    if df.empty:
+        return pd.DataFrame(), gr.update(choices=[], value=None), gr.update(choices=[], value=None)
+
+    df_global = df
+    all_cols = list(df.columns)
+    num_cols = list(df.select_dtypes(include="number").columns)
+
+    default_x = all_cols[0] if all_cols else None
+    default_y = num_cols[0] if num_cols else None
+
+    return df.head(), gr.update(choices=all_cols, value=default_x), gr.update(choices=num_cols, value=default_y)
+
+# Plot
+def update_plot(chart_type, x, y):
+    global df_global
+    if df_global.empty:
+        return None
+
+    try:
+        if chart_type == "Bar Chart":
+            return px.bar(df_global, x=x, y=y)
+        elif chart_type == "Line Chart":
+            return px.line(df_global, x=x, y=y)
+        elif chart_type == "Scatter Plot":
+            return px.scatter(df_global, x=x, y=y)
+        elif chart_type == "Pie Chart":
+            return px.pie(df_global, names=x, values=y)
+        elif chart_type == "Box Plot":
+            return px.box(df_global, x=x, y=y)
+    except Exception as e:
+        print("Plot error:", e)
+        return None
+
+# Themed UI
+with gr.Blocks(css="""
+body {
+    margin: 0;
+    padding: 0;
+    font-family: 'Segoe UI', sans-serif;
+    background: #0f2027;
+    background: linear-gradient(to right, #2c5364, #203a43, #0f2027);
+    color: white;
+}
+#bg-theme {
+    position: fixed;
+    top: 0;
+    left: 0;
+    width: 100%;
+    height: 100%;
+    z-index: -2;
+    background: linear-gradient(120deg, rgba(33,147,176,0.6), rgba(109,213,237,0.6));
+    background-size: 200% 200%;
+    animation: bgMove 20s ease infinite;
+    filter: blur(100px);
+}
+@keyframes bgMove {
+    0% { background-position: 0% 50%; }
+    50% { background-position: 100% 50%; }
+    100% { background-position: 0% 50%; }
+}
+.fade-in {
+    animation: fadeInUp 1s ease both;
+}
+@keyframes fadeInUp {
+    0% { opacity: 0; transform: translateY(20px); }
+    100% { opacity: 1; transform: translateY(0); }
+}
+""") as demo:
+
+    gr.HTML('<div id="bg-theme"></div>')  # Themed animated background
+
+    gr.Markdown("## 📊 Thunder BI-Data Visualizer", elem_classes="fade-in")
+
+    with gr.Row():
+        file_input = gr.File(file_types=[".csv", ".xlsx", ".json"], label="Upload File", elem_classes="fade-in")
+        url_input = gr.Textbox(label="Or enter file URL", elem_classes="fade-in")
+
+    load_button = gr.Button("Load", elem_classes="fade-in")
+
+    df_preview = gr.Dataframe(label="Preview", interactive=False, elem_classes="fade-in")
+    x_dropdown = gr.Dropdown(label="X-axis", elem_classes="fade-in")
+    y_dropdown = gr.Dropdown(label="Y-axis", elem_classes="fade-in")
+    chart_type = gr.Dropdown(["Bar Chart", "Line Chart", "Scatter Plot", "Pie Chart", "Box Plot"], label="Chart Type", elem_classes="fade-in")
+    plot_area = gr.Plot(label="Chart", elem_classes="fade-in")
+    generate_button = gr.Button("Generate Plot", elem_classes="fade-in")
+
+    # Event hooks
+    load_button.click(process_inputs, inputs=[file_input, url_input], outputs=[df_preview, x_dropdown, y_dropdown])
+    generate_button.click(update_plot, inputs=[chart_type, x_dropdown, y_dropdown], outputs=plot_area)
+
+if __name__ == "__main__":
+    demo.launch()
+