Added stats gradio app

app_data.py

@@ -0,0 +1,24 @@
+from fastai.tabular.all import *
+import gradio as gr
+
+# path = Path()
+df = pd.read_csv("rookie_year.csv")
+learn = load_learner("export.pkl")
+
+def predict2(data):
+    row = data.drop("Name", axis=1).astype(float)
+    row["Cmp"] = row["Att"].item() * row["Cmp%"].item()
+    pred_row, clas, probs = learn.predict(row.iloc[0])
+    prediction = pred_row.decode()["Tier"].item()    
+    return prediction
+
+
+demo2 = gr.Interface(fn=predict2, 
+                    inputs=gr.Dataframe(row_count=1, col_count=8, headers=[x for x in columns if x not in ["Cmp", "G", "GS"]], label="Rookie Year Stats"), 
+                    outputs=gr.Textbox(label="Prediction"),
+                    title="Rookie QB Career Prediction (Stats)",
+                    description="Given stats of a presumed rookie QB, predict their career tier. Uses data from https:\/\/www.pro-football-reference.com. Tiers based on PFR Approximate Value.",
+                    article="See more details at https://github.com/mhrice/Rookie-QB-Predictions"
+                    )
+
+demo2.launch()