Guardar mis cambios locales

app.py

@@ -1,13 +1,12 @@
 import pandas as pd
 import matplotlib.pyplot as plt
-import pickle
+import joblib
 import gradio as gr
 
 def load_model():
     try:
-        with open('arima_sales_model.pkl', 'rb') as f:
-            arima_model = pickle.load(f)
-        return arima_model, None
+        model = joblib.load('arima_sales_model.pkl')
+        return model, None
     except Exception as e:
         return None, f"Failed to load model: {str(e)}"
 
@@ -37,7 +36,6 @@ def forecast_sales(uploaded_file, forecast_period=30):
         return f"Failed during forecasting: {str(e)}", None
 
     try:
-        # Create the plot
         fig, ax = plt.subplots(figsize=(10, 6))
         ax.plot(df['ds'], df['y'], label='Historical Sales', color='blue')
         ax.plot(forecast_df['Date'], forecast_df['Sales Forecast'], label='Sales Forecast', color='red', linestyle='--')
@@ -56,11 +54,9 @@ def setup_interface():
         forecast_button = gr.Button("Forecast Sales")
         output_text = gr.Textbox(visible=True)
         output_plot = gr.Plot()
-        # Actualización aquí: Cambia 'default' por 'value'
-        forecast_period_slider = gr.Slider(1, 60, step=1, label="Forecast Period (days)", value=30)
         forecast_button.click(
             forecast_sales, 
-            inputs=[file_input, forecast_period_slider], 
+            inputs=[file_input, gr.Slider(1, 60, step=1, label="Forecast Period (days)", value=30)], 
             outputs=[output_text, output_plot]
         )
     return demo