Update app.py

app.py

@@ -52,15 +52,19 @@ def stock_forecast(ticker, start_date, end_date):
             inputs=df,
             freq="D",  # Daily frequency
             value_name="y",
-            num_jobs=2,
+            num_jobs=-1,
         )
 
         # Combine actual and forecasted data for plotting
         combined_df = pd.concat([df, forecast_df], axis=0)
 
+        # Filter the last 90 days of data
+        last_90_days = combined_df['ds'].max() - pd.Timedelta(days=90)
+        filtered_df = combined_df[combined_df['ds'] >= last_90_days]
+
         # Create an interactive plot with Plotly
-        fig = px.line(combined_df, x='ds', y=['y', 'timesfm'], labels={'value': 'Price', 'ds': 'Date'}, 
-                      title=f'{ticker} Stock Price Forecast')
+        fig = px.line(filtered_df, x='ds', y=['y', 'timesfm'], labels={'value': 'Price', 'ds': 'Date'}, 
+                      title=f'{ticker} Stock Price Forecast (Last 90 Days)')
         
         # Customize the plot for a dark theme
         fig.update_layout(
@@ -138,7 +142,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         ticker_input = gr.Textbox(label="Enter Stock Ticker", value="AAPL")
         start_date_input = gr.Textbox(label="Enter Start Date (YYYY-MM-DD)", value="2022-01-01")
-        end_date_input = gr.Textbox(label="Enter End Date (YYYY-MM-DD)", value="2026-01-01")
+        end_date_input = gr.Textbox(label="Enter End Date (YYYY-MM-DD)", value="2025-01-01")
     
     submit_button = gr.Button("Enter")
     plot_output = gr.Plot()