debug

app.py

@@ -150,11 +150,14 @@ def xgboostPred(df):
     df = df.drop(['area', 'streetName', 'brf', 'agency'], axis=1)
 
     # Save first row as a numpy array
-    input_list = df.iloc[0].to_numpy()
 
-    res = model.predict(np.asarray(input_list).reshape(1, -1))
+    results = []
+    for _,row in df.iterrows():
+        input_list = row.to_numpy()
+        res = model.predict(np.asarray(input_list).reshape(1, -1))
+        results.append(res[0]) # This is not done in a good way
 
-    return res
+    return results
 
 def autoPred():
     pass