Guardar mis cambios locales

app.py

@@ -86,11 +86,11 @@ def get_converted_answer(table, query):
     # Implement get_converted_answer function here...
     pass
 
-# Gradio Interface with updated design
+# Gradio Interface with emojis and colors
 def upload_and_forecast(uploaded_file, period):
     if uploaded_file is None:
-        return "Please upload a file to proceed."
-    
+        return "⚠️ Please upload a file to proceed."
+
     # Load the data
     df = pd.read_csv(uploaded_file)
     df = drop(df)
@@ -128,32 +128,32 @@ def upload_and_forecast(uploaded_file, period):
     fig_compare = go.Figure()
     fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Actual Sales'], mode='lines', name='Actual Sales'))
     fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Predicted Sales'], mode='lines', name='Predicted Sales', line=dict(color='#006400')))
-    fig_compare.update_layout(title='Historical Sales Data', xaxis_title='Date', yaxis_title='Sales')
+    fig_compare.update_layout(title='📊 Historical Sales Data', xaxis_title='Date', yaxis_title='Sales')
 
     fig_forecast = go.Figure()
     fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Actual Sales'], mode='lines', name='Actual Sales'))
     fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Forecasted Future Sales'], mode='lines', name='Future Forecasted Sales'))
-    fig_forecast.update_layout(title='Forecasted Sales Data', xaxis_title='Date', yaxis_title='Sales')
+    fig_forecast.update_layout(title='🔮 Forecasted Sales Data', xaxis_title='Date', yaxis_title='Sales')
 
     # Return the figures and growth data
     return fig_compare, fig_forecast, future_sales_growth
 
-# Gradio Interface setup with improved layout
+# Gradio Interface setup with improved layout and emojis
 iface = gr.Interface(
     fn=upload_and_forecast,
     inputs=[
-        gr.File(label="Upload your sales data (CSV)", elem_id="file-uploader"),
-        gr.Slider(minimum=30, maximum=90, step=1, label="Forecast Period (Days)", elem_id="forecast-period-slider")
+        gr.File(label="📂 Upload your sales data (CSV)", elem_id="file-uploader"),
+        gr.Slider(minimum=30, maximum=90, step=1, label="⏳ Forecast Period (Days)", elem_id="forecast-period-slider")
     ],
     outputs=[
-        gr.Plot(label="Historical vs Predicted Sales"),
-        gr.Plot(label="Forecasted Sales Data"),
-        gr.DataFrame(label="Sales Growth")
+        gr.Plot(label="📈 Historical vs Predicted Sales"),
+        gr.Plot(label="🔮 Forecasted Sales Data"),
+        gr.DataFrame(label="📊 Sales Growth")
     ],
     live=True,
     theme="compact",
-    title="Sales Forecasting System",
-    description="Upload your sales data to start forecasting."
+    title="Sales Forecasting System ✨",
+    description="Upload your sales data to start forecasting 🚀"
 )
 
 iface.launch()