adding a second model

app.py

@@ -21,6 +21,8 @@ options = [
 with open("model.pkl", "rb") as f:
   model = pickle.load(f)
 
+with open("model2.pkl", "rb") as f:
+  model2 = pickle.load(f)
 
 def predict(wind, temp_max, temp_min, precipitation):
   f_precipitation = float(precipitation)
@@ -38,8 +40,9 @@ def predict(wind, temp_max, temp_min, precipitation):
   df = pd.DataFrame([default], columns=default_columns)
 
   prediction = model.predict(df)
+  prediction2 = model2.predict(df)
 
-  return options[round(max(prediction))]
+  return {options[round(max(prediction))], options[round(max(prediction2))]}
   
 iface = gr.Interface(
   fn=predict,

model2.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32e70a41159435f0182728e1970658f37b7d018b2e78329309bec5d3f8b4803a
+size 2901