Upload facility_predict.py

facility_predict.py

@@ -1,5 +1,6 @@
 import os
 import random
+import gradio as gr
 import json
 import numpy as np
 import torch
@@ -104,7 +105,7 @@ class Facility_Model:
         """
         output_dict = {}
         # transform the relation table(between label and intent)
-        path_table = pd.read_csv('/content/drive/MyDrive/dhis14000/dhis_label_relation_14357.csv')
+        path_table = pd.read_csv('dhis_label_relation_14357.csv')
 
         label_intent_dict = path_table[["label", "corresponding_label"]].set_index("corresponding_label").to_dict()['label']