Update app.py

add automl3 model for prediction

app.py

@@ -108,7 +108,7 @@ file_upload = st.file_uploader("Upload a csv file", type="csv")
 if file_upload is not None:
     data = pd.read_csv(file_upload)
     column = data["S11"].iloc[1:].values
-    with open("automl.pkl", "rb") as f:
+    with open("automl3.pkl", "rb") as f:
         model = pickle.load(f)
     pred_clip = model.predict([column])
     pred_clip = np.clip(pred_clip, [0.2,0.4,3.9,0.2,13.9,13.8,13.2],[1.01,1.21,4.71,0.8,14.701,14.201,14.001])