Update app.py

app.py

@@ -4,6 +4,7 @@ from processing import *
 import pandas as pd
 from indices import indices
 import xgboost as xgb
+from lightgbm import LGBMRegressor
 import pickle
 import json
 from datetime import datetime
@@ -94,7 +95,7 @@ def predict(lat, lon):
             # vegetation index calculation
             X = indices(X)
             # load the model from disk
-            filename = "data/finalized_model.sav"
+            filename = "data/new_version_model.sav"
             loaded_model = pickle.load(open(filename, 'rb'))
             # make prediction
             biomass = loaded_model.predict(X)[0]
@@ -120,7 +121,7 @@ article = "Created by data354."
 
 # Create examples list from "examples/" directory
 #example_list = [["examples/" + example] for example in os.listdir("examples")]
-example_list = [[5.379913, -4.050445],[6.54644,-7.86156],[5.346938, -4.027849]]
+example_list = [[5.379913, -4.050445],[5.363292, -3.9481601],[5.316458, -4.017172],[5.346938, -4.027849]]
 
 outputs = [
     gr.Textbox(label="Cloud coverage"),