Guardar mis cambios locales

app.py

@@ -10,60 +10,46 @@ from pmdarima import auto_arima
 
 # Preprocessing functions (same as before)
 def merge(B, C, A):
-    # Implement merge function here...
-    pass
+    pass  # Implement merge function here...
 
 def merge_sort(dataframe):
-    # Implement merge_sort function here...
-    pass
+    pass  # Implement merge_sort function here...
 
 def drop(dataframe):
-    # Implement drop function here...
-    pass
+    pass  # Implement drop function here...
 
 def date_format(dataframe):
-    # Implement date_format function here...
-    pass
+    pass  # Implement date_format function here...
 
 def group_to_three(dataframe):
-    # Implement group_to_three function here...
-    pass
+    pass  # Implement group_to_three function here...
 
 def series_to_df_exogenous(series):
-    # Implement series_to_df_exogenous function here...
-    pass
+    pass  # Implement series_to_df_exogenous function here...
 
 def dates_df(dataframe):
-    # Implement dates_df function here...
-    pass
+    pass  # Implement dates_df function here...
 
 def get_forecast_period(period):
-    # Implement get_forecast_period function here...
-    pass
+    pass  # Implement get_forecast_period function here...
 
 def train_test(dataframe, n):
-    # Implement train_test function here...
-    pass
+    pass  # Implement train_test function here...
 
 def test_fitting(dataframe, Exo, trainY):
-    # Implement test_fitting function here...
-    pass
+    pass  # Implement test_fitting function here...
 
 def forecast_accuracy(forecast, actual):
-    # Implement forecast_accuracy function here...
-    pass
+    pass  # Implement forecast_accuracy function here...
 
 def sales_growth(dataframe, fittedValues):
-    # Implement sales_growth function here...
-    pass
+    pass  # Implement sales_growth function here...
 
 def merge_forecast_data(actual, predicted, future):
-    # Implement merge_forecast_data function here...
-    pass
+    pass  # Implement merge_forecast_data function here...
 
 def interpret_mape(mape_score):
-    # Implement interpret_mape function here...
-    pass
+    pass  # Implement interpret_mape function here...
 
 def load_tapas_model():
     model_name = "google/tapas-large-finetuned-wtq"
@@ -79,12 +65,10 @@ def get_answer(table, query):
     return answers
 
 def convert_answer(answer):
-    # Implement convert_answer function here...
-    pass
+    pass  # Implement convert_answer function here...
 
 def get_converted_answer(table, query):
-    # Implement get_converted_answer function here...
-    pass
+    pass  # Implement get_converted_answer function here...
 
 # Gradio Interface with emojis and colors
 def upload_and_forecast(uploaded_file, period):
@@ -138,7 +122,7 @@ def upload_and_forecast(uploaded_file, period):
     # Return the figures and growth data
     return fig_compare, fig_forecast, future_sales_growth
 
-# Gradio Interface setup with improved layout and emojis
+# Gradio Interface setup with external CSS file
 iface = gr.Interface(
     fn=upload_and_forecast,
     inputs=[
@@ -152,8 +136,10 @@ iface = gr.Interface(
     ],
     live=True,
     theme="compact",
-    title="Sales Forecasting System ✨ Hola",
-    description="Upload your sales data to start forecasting 🚀"
+    title="Sales Forecasting System ✨",
+    description="Upload your sales data to start forecasting 🚀",
+    layout="horizontal",  # Add a horizontal layout for better alignment
+    css=open("styles.css", "r").read()  # Load the external CSS file here
 )
 
 iface.launch()

styles.css

@@ -0,0 +1,15 @@
+/* styles.css */
+.gradio-container {
+    background-color: #f0f8ff;  /* Light Blue */
+}
+.gradio-input, .gradio-slider {
+    background-color: #e0ffff;  /* Light Cyan */
+    color: #006400;  /* Dark Green */
+}
+.gradio-button {
+    background-color: #98fb98;  /* Pale Green */
+    color: #006400;  /* Dark Green */
+}
+.gradio-output {
+    background-color: #fffacd;  /* Lemon Chiffon */
+}