Update app.py
Browse files
app.py
CHANGED
|
@@ -11,14 +11,13 @@ def load_data(file):
|
|
| 11 |
try:
|
| 12 |
if file is None:
|
| 13 |
return pd.DataFrame()
|
| 14 |
-
ext = file.name.split('.')[-1]
|
| 15 |
-
file_bytes = file.read() # Use file.read() to get bytes
|
| 16 |
if ext == 'csv':
|
| 17 |
-
return pd.read_csv(
|
| 18 |
elif ext in ['xls', 'xlsx']:
|
| 19 |
-
return pd.read_excel(
|
| 20 |
elif ext == 'json':
|
| 21 |
-
return pd.read_json(
|
| 22 |
except Exception as e:
|
| 23 |
print("File load error:", e)
|
| 24 |
return pd.DataFrame()
|
|
@@ -76,7 +75,8 @@ def update_plot(chart_type, x, y):
|
|
| 76 |
print("Plot error:", e)
|
| 77 |
return None
|
| 78 |
|
| 79 |
-
|
|
|
|
| 80 |
with gr.Blocks(css="""
|
| 81 |
body {
|
| 82 |
margin: 0;
|
|
@@ -96,7 +96,7 @@ body {
|
|
| 96 |
background: linear-gradient(120deg, rgba(33,147,176,0.6), rgba(109,213,237,0.6));
|
| 97 |
background-size: 200% 200%;
|
| 98 |
animation: bgMove 20s ease infinite;
|
| 99 |
-
filter: blur(100px);
|
| 100 |
}
|
| 101 |
@keyframes bgMove {
|
| 102 |
0% { background-position: 0% 50%; }
|
|
@@ -112,27 +112,26 @@ body {
|
|
| 112 |
}
|
| 113 |
""") as demo:
|
| 114 |
|
| 115 |
-
gr.HTML('<div id="bg-theme"></div>') #
|
| 116 |
|
| 117 |
gr.Markdown("## 📊 Thunder BI-Data Visualizer", elem_classes="fade-in")
|
| 118 |
-
|
| 119 |
with gr.Row():
|
| 120 |
-
file_input = gr.File(file_types=[".csv", ".xlsx", ".json"], label="Upload File"
|
| 121 |
-
url_input = gr.Textbox(label="Or enter file URL"
|
| 122 |
|
| 123 |
-
load_button = gr.Button("Load"
|
| 124 |
|
| 125 |
-
df_preview = gr.Dataframe(label="Preview", interactive=False
|
| 126 |
-
x_dropdown = gr.Dropdown(label="X-axis"
|
| 127 |
-
y_dropdown = gr.Dropdown(label="Y-axis"
|
| 128 |
-
chart_type = gr.Dropdown(["Bar Chart", "Line Chart", "Scatter Plot", "Pie Chart", "Box Plot"], label="Chart Type"
|
| 129 |
-
plot_area = gr.Plot(label="Chart"
|
| 130 |
-
generate_button = gr.Button("Generate Plot"
|
| 131 |
|
| 132 |
# Event hooks
|
| 133 |
load_button.click(process_inputs, inputs=[file_input, url_input], outputs=[df_preview, x_dropdown, y_dropdown])
|
| 134 |
generate_button.click(update_plot, inputs=[chart_type, x_dropdown, y_dropdown], outputs=plot_area)
|
| 135 |
|
| 136 |
if __name__ == "__main__":
|
| 137 |
-
demo.launch()
|
| 138 |
-
|
|
|
|
| 11 |
try:
|
| 12 |
if file is None:
|
| 13 |
return pd.DataFrame()
|
| 14 |
+
ext = file.name.split('.')[-1]
|
|
|
|
| 15 |
if ext == 'csv':
|
| 16 |
+
return pd.read_csv(file.name)
|
| 17 |
elif ext in ['xls', 'xlsx']:
|
| 18 |
+
return pd.read_excel(file.name)
|
| 19 |
elif ext == 'json':
|
| 20 |
+
return pd.read_json(file.name)
|
| 21 |
except Exception as e:
|
| 22 |
print("File load error:", e)
|
| 23 |
return pd.DataFrame()
|
|
|
|
| 75 |
print("Plot error:", e)
|
| 76 |
return None
|
| 77 |
|
| 78 |
+
|
| 79 |
+
# Themed UI
|
| 80 |
with gr.Blocks(css="""
|
| 81 |
body {
|
| 82 |
margin: 0;
|
|
|
|
| 96 |
background: linear-gradient(120deg, rgba(33,147,176,0.6), rgba(109,213,237,0.6));
|
| 97 |
background-size: 200% 200%;
|
| 98 |
animation: bgMove 20s ease infinite;
|
| 99 |
+
filter: blur(100px);
|
| 100 |
}
|
| 101 |
@keyframes bgMove {
|
| 102 |
0% { background-position: 0% 50%; }
|
|
|
|
| 112 |
}
|
| 113 |
""") as demo:
|
| 114 |
|
| 115 |
+
gr.HTML('<div id="bg-theme"></div>') # Themed animated background
|
| 116 |
|
| 117 |
gr.Markdown("## 📊 Thunder BI-Data Visualizer", elem_classes="fade-in")
|
| 118 |
+
|
| 119 |
with gr.Row():
|
| 120 |
+
file_input = gr.File(file_types=[".csv", ".xlsx", ".json"], label="Upload File")
|
| 121 |
+
url_input = gr.Textbox(label="Or enter file URL")
|
| 122 |
|
| 123 |
+
load_button = gr.Button("Load")
|
| 124 |
|
| 125 |
+
df_preview = gr.Dataframe(label="Preview", interactive=False)
|
| 126 |
+
x_dropdown = gr.Dropdown(label="X-axis")
|
| 127 |
+
y_dropdown = gr.Dropdown(label="Y-axis")
|
| 128 |
+
chart_type = gr.Dropdown(["Bar Chart", "Line Chart", "Scatter Plot", "Pie Chart", "Box Plot"], label="Chart Type")
|
| 129 |
+
plot_area = gr.Plot(label="Chart")
|
| 130 |
+
generate_button = gr.Button("Generate Plot")
|
| 131 |
|
| 132 |
# Event hooks
|
| 133 |
load_button.click(process_inputs, inputs=[file_input, url_input], outputs=[df_preview, x_dropdown, y_dropdown])
|
| 134 |
generate_button.click(update_plot, inputs=[chart_type, x_dropdown, y_dropdown], outputs=plot_area)
|
| 135 |
|
| 136 |
if __name__ == "__main__":
|
| 137 |
+
demo.launch()
|
|
|