removed share=True and updated README

.gitignore

@@ -0,0 +1,3 @@
+venv
+flagged
+shap_*

README.md

@@ -8,8 +8,8 @@ sdk_version: 4.27.0
 app_file: app.py
 pinned: false
 ---
-# DALI 2024S Dev Challenge Deployment
-### Machine Learning Track
+# Dev Challenge Deployment
+### DALI 2024S - Machine Learning Track
 
 Deployment of profit prediction models for the 2024S DALI Dev Challenge.  I deployed the best performing Logistic Regression, SVM, and XGBoost models I generated.  I also generate shapley values for each entry the user inputs to offer greater interpretability to model predictions.
 

app.py

@@ -167,8 +167,6 @@ XGB_tab = gr.Interface(
     description="Create your own purchases and see if the XGB model predicts they will make above or below the median profit\n\nValid regions: ['Central', 'East', 'South', 'West']\n\nValid product categories: ['Furniture', 'Office Supplies', 'Technology']\n\nValid product sub-categories: ['Accessories', 'Appliances', 'Art', 'Binders', 'Bookcases', 'Chairs', 'Copiers', 'Envelopes', 'Fasteners', 'Furnishings', 'Labels', 'Machines', 'Paper', 'Phones', 'Storage', 'Supplies', 'Tables']",
 )
 
-
-
 demo = gr.TabbedInterface([LogReg_tab, SVM_tab, XGB_tab], tab_names=["Logistic Regression", "SVM", "XGB"], theme=gr.themes.Soft())
 
-demo.launch(debug=True, share=True)
+demo.launch(debug=True)