Update app.py

app.py

@@ -1,41 +1,47 @@
 import gradio as gr
 import pandas as pd
 import plotly.express as px
+import io
+import requests
 
-# Global dataframe
 df_global = pd.DataFrame()
 
+# Load from file
 def load_data(file):
-    if file is None:
-        return pd.DataFrame()
     try:
-        if file.name.endswith(".csv"):
-            return pd.read_csv(file.name)
-        elif file.name.endswith(".xlsx"):
-            return pd.read_excel(file.name)
-        elif file.name.endswith(".json"):
-            return pd.read_json(file.name)
+        if file is None:
+            return pd.DataFrame()
+        ext = file.name.split('.')[-1]
+        if ext == 'csv':
+            return pd.read_csv(file.file)
+        elif ext in ['xls', 'xlsx']:
+            return pd.read_excel(file.file)
+        elif ext == 'json':
+            return pd.read_json(file.file)
     except Exception as e:
         print("File load error:", e)
-        return pd.DataFrame()
+    return pd.DataFrame()
 
+# Load from URL
 def load_url(url):
-    if not url:
-        return pd.DataFrame()
     try:
+        response = requests.get(url)
+        response.raise_for_status()
         if url.endswith(".csv"):
-            return pd.read_csv(url)
-        elif url.endswith(".xlsx"):
-            return pd.read_excel(url)
+            return pd.read_csv(io.StringIO(response.text))
         elif url.endswith(".json"):
-            return pd.read_json(url)
+            return pd.read_json(io.StringIO(response.text))
+        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()
+    return pd.DataFrame()
 
+# Process inputs
 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)
 
@@ -44,76 +50,90 @@ def process_inputs(file, url):
     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 (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 if num_cols else all_cols, value=default_y)
-    )
+    return df.head(), gr.update(choices=all_cols, value=default_x), gr.update(choices=num_cols, value=default_y)
 
-def smart_update(chart_type, x, y):
+# Update plot
+def update_plot(chart_type, x, y):
     global df_global
     if df_global.empty:
-        return None, gr.Textbox.update(value="No data loaded.", visible=True)
-
+        return None
     try:
-        if chart_type == "Summary":
-            summary = df_global.describe(include="all").to_string()
-            return None, gr.Textbox.update(value=summary, visible=True)
-
-        if not x or not y:
-            return None, gr.Textbox.update(value="Please select both X and Y axes.", visible=True)
-
         if chart_type == "Bar Chart":
-            return px.bar(df_global, x=x, y=y), gr.Textbox.update(visible=False)
+            return px.bar(df_global, x=x, y=y)
         elif chart_type == "Line Chart":
-            return px.line(df_global, x=x, y=y), gr.Textbox.update(visible=False)
+            return px.line(df_global, x=x, y=y)
         elif chart_type == "Scatter Plot":
-            return px.scatter(df_global, x=x, y=y), gr.Textbox.update(visible=False)
+            return px.scatter(df_global, x=x, y=y)
         elif chart_type == "Pie Chart":
-            return px.pie(df_global, names=x, values=y), gr.Textbox.update(visible=False)
+            return px.pie(df_global, names=x, values=y)
         elif chart_type == "Box Plot":
-            return px.box(df_global, x=x, y=y), gr.Textbox.update(visible=False)
-        else:
-            return None, gr.Textbox.update(value="Unsupported chart type.", visible=True)
-
+            return px.box(df_global, x=x, y=y)
     except Exception as e:
-        return None, gr.Textbox.update(value=str(e), visible=True)
-
-with gr.Blocks(theme=gr.themes.Base(primary_hue="blue")) as enhanced_ui:
-    gr.Markdown("""
-    # ✨ Animated Data Visualizer
-    Welcome to your interactive data analysis tool!
-    Upload your dataset and explore visual insights like never before.
-    """)
+        print("Plot error:", e)
+        return None
+
+# Animated UI
+with gr.Blocks(css="""
+body {
+    margin: 0;
+    padding: 0;
+    font-family: 'Segoe UI', sans-serif;
+    color: white;
+}
+#bg {
+    position: fixed;
+    width: 100%;
+    height: 100%;
+    background: linear-gradient(-45deg, #1e3c72, #2a5298, #1e3c72);
+    background-size: 400% 400%;
+    animation: gradient 15s ease infinite;
+    z-index: -1;
+}
+@keyframes gradient {
+    0% { background-position: 0% 50%; }
+    50% { background-position: 100% 50%; }
+    100% { background-position: 0% 50%; }
+}
+.animate-fade {
+    animation: fadeInUp 1s ease-in-out;
+}
+@keyframes fadeInUp {
+    from {
+        opacity: 0;
+        transform: translateY(20px);
+    }
+    to {
+        opacity: 1;
+        transform: translateY(0);
+    }
+}
+""") as demo:
+
+    gr.HTML('<div id="bg"></div>')  # Background animation
+
+    gr.Markdown("## ✨ Thunder BI — Animated Data Visualizer", elem_classes="animate-fade")
 
     with gr.Row():
-        with gr.Column(scale=2):
-            file_input = gr.File(label="📂 Upload Data File", file_types=[".csv", ".xlsx", ".json"])
-            url_input = gr.Textbox(label="🔗 Or paste file URL", placeholder="https://example.com/data.csv")
-        with gr.Column(scale=1):
-            chart_type = gr.Dropdown(
-                ["Summary", "Bar Chart", "Line Chart", "Scatter Plot", "Pie Chart", "Box Plot"],
-                label="📈 Chart Type",
-                info="Select type of visualization"
-            )
-            generate_button = gr.Button("🚀 Generate", variant="primary")
-
-    with gr.Accordion("📊 Data Preview and Settings", open=True):
-        df_preview = gr.Dataframe(label="Preview", interactive=False)
-        with gr.Row():
-            x_dropdown = gr.Dropdown(label="X-axis", interactive=True)
-            y_dropdown = gr.Dropdown(label="Y-axis", interactive=True)
+        with gr.Column():
+            file_input = gr.File(file_types=[".csv", ".xlsx", ".json"], label="📁 Upload File", elem_classes="animate-fade")
+            url_input = gr.Textbox(label="🌐 Or enter file URL", elem_classes="animate-fade")
+            load_button = gr.Button("🔄 Load", elem_classes="animate-fade")
 
-    with gr.Row():
-        plot_area = gr.Plot(label="🖼️ Chart Output")
-        summary_box = gr.Textbox(label="📋 Summary", visible=False, lines=15)
+        with gr.Column():
+            chart_type = gr.Dropdown(["Bar Chart", "Line Chart", "Scatter Plot", "Pie Chart", "Box Plot"], label="📊 Chart Type", elem_classes="animate-fade")
+            x_dropdown = gr.Dropdown(label="X-axis", elem_classes="animate-fade")
+            y_dropdown = gr.Dropdown(label="Y-axis", elem_classes="animate-fade")
+            generate_button = gr.Button("🚀 Generate Plot", elem_classes="animate-fade")
+
+    plot_area = gr.Plot(label="Chart", elem_classes="animate-fade")
+    df_preview = gr.Dataframe(label="Preview", interactive=False, elem_classes="animate-fade")
 
-    # Link callbacks
-    file_input.change(process_inputs, inputs=[file_input, url_input], outputs=[df_preview, x_dropdown, y_dropdown])
-    url_input.change(process_inputs, inputs=[file_input, url_input], outputs=[df_preview, x_dropdown, y_dropdown])
-    generate_button.click(smart_update, inputs=[chart_type, x_dropdown, y_dropdown], outputs=[plot_area, summary_box])
+    # Event handlers
+    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__":
-    enhanced_ui.launch()
+    demo.launch()
+