Update app.py

app.py

@@ -71,17 +71,18 @@ if len(data_close) >= look_back:
     # Plot the results using Plotly
     fig = go.Figure()
     fig.add_trace(go.Scatter(x=data.index, y=data['Close'], mode='lines+markers', name='Close Price'))
+    
+    # Generate prediction dates without using the 'closed' parameter
+    last_date = data.index[-1]
+    prediction_dates = pd.date_range(start=last_date, periods=prediction_days+1)[1:]
+    # The [1:] slice is used to exclude the starting date and effectively achieve 'closed=right'
+
     # Add predicted prices to the plot
-    prediction_dates = pd.date_range(start=data.index[-1], periods=prediction_days+1, closed='right')
     fig.add_trace(go.Scatter(x=prediction_dates, y=predictions_list, mode='lines+markers', name='Predicted Price', marker=dict(color='red')))
     fig.update_layout(title='Cryptocurrency Price Prediction', xaxis_title='Date', yaxis_title='Price', legend_title='Legend')
     st.plotly_chart(fig, use_container_width=True)
 
-    
-
-
     # Display download link for predictions with actual prices included
-    prediction_dates = pd.date_range(start=data.index[-1], periods=prediction_days+1, closed='right')
     prediction_df = pd.DataFrame(index=prediction_dates)
     prediction_df['Predicted Price'] = predictions_list
     prediction_df['Actual Price'] = data['Close'][-prediction_days:].values