added information in our info tab

app.py

@@ -47,6 +47,23 @@ def load_interface():
         gr.Markdown( #TODO: add information about our project: github, description, model metrics, etc.
         """
         # Ensemble Classifier for Predicting Smoker or Non-Smoker
+        
+        Contributors: Matt Soria, Jake Leniart, Francisco Lozano
+        University: Depaul University
+        Class: DSC 478, Programming Machine Learning
+        ---
+
+        ## Overview
+        For our project we decided to create a classifer for a kaggle dataset that has bio-signals along with information on whether individuals are smokers or non-smokers. Our classifier attempts to identify whether or not a patient is a smoker based on the 22 features provided.
+        [Smoker Dataset](https://www.kaggle.com/datasets/gauravduttakiit/smoker-status-prediction-using-biosignals?resource=download&select=train_dataset.csv).
+
+        ## Classifier Metrics
+
+        TODO: insert the classification report and confusion matrix
+
+        ## Report
+        To learn more about our Ensemble Classifier, view our jupyter notebooks in our repo.
+        [DSC 478 Project Repo](https://github.com/msoria17/dsc478-project)
         """
         )