add .pkl file for model and predictions code

app.py

@@ -3,10 +3,36 @@
 
 
 import gradio as gr
+from pycaret.classification import load_model, predict_model
+
+
+
+# load the trained model for predictions
+model = load_model("tuned_blend_specific_model_19112021")
+
+
+# define the function to call 
+def predict(model, input_df):
+	predictions_df = predict_model(estimator=model, data=input_df)
+	predictions = predictions_df["Amputation"][0]
+
+
+
 
-def predict_amputation(age, gender, race, diabetes_type):
-    return "ALLAH"
 
+#input_dict = {"AGE": age, "GENDER_F": gender, "RACE_Asian":	,"RACE_Black": ,	"RACE_Coloured":,	"RACE_Other":,	"RACE_White":,	"DIABETES_CLASS_Type 1 diabetes":}
+
+input_dict = {"AGE": 70.0, "GENDER_F": 0.0, "RACE_Asian": 1.0, "RACE_Black": ,	"RACE_Coloured": 0.0,	"RACE_Other": 0.0,	"RACE_White": 0.0,	"DIABETES_CLASS_Type 1 diabetes":0.0}
+
+
+input_df = pd.DataFrame([input_dict])
+
+
+
+
+# the parameters in this function, actually gets the inputs for the prediction 
+def predict_amputation(age, gender, race, diabetes_type):
+    return "ALLAH"+predict(model=model, input_df=input_df) # calls the predict function when the 'submit' button is clicked
 
 
 title = "DIabetes-related Amputation Risk Calculator (DIARC)"