Updated - Fixed plagiarsim.

analysis.py

@@ -8,6 +8,7 @@ import torch
 from transformers import GPT2LMHeadModel, GPT2TokenizerFast
 import matplotlib.pyplot as plt
 import numpy as np
+from predictors import update,update_main, correct_text, split_text
 
 from matplotlib.patches import Circle, RegularPolygon
 from matplotlib.path import Path
@@ -52,7 +53,7 @@ def normalize(value, min_value, max_value):
 
 def depth_analysis(input_text, bias_buster_selected):
     if bias_buster_selected:
-        text = update(text)
+        input_text = update(input_text)
         
     usual_ranges = {
         "estimated_slightly_difficult_words_ratio": (

plagiarism.py

@@ -234,10 +234,10 @@ def plagiarism_check(
     source_block_size,
 ):
     # api_key = "AIzaSyCLyCCpOPLZWuptuPAPSg8cUIZhdEMVf6g"
-    # api_key = "AIzaSyA5VVwY1eEoIoflejObrxFDI0DJvtbmgW8"
+    api_key = "AIzaSyA5VVwY1eEoIoflejObrxFDI0DJvtbmgW8"
     # api_key = "AIzaSyCLyCCpOPLZWuptuPAPSg8cUIZhdEMVf6g"
     # api_key = "AIzaSyCS1WQDMl1IMjaXtwSd_2rA195-Yc4psQE"
-    api_key = "AIzaSyCB61O70B8AC3l5Kk3KMoLb6DN37B7nqIk"
+    # api_key = "AIzaSyCB61O70B8AC3l5Kk3KMoLb6DN37B7nqIk"
     # api_key = "AIzaSyCg1IbevcTAXAPYeYreps6wYWDbU0Kz8tg"
     # api_key = "AIzaSyA5VVwY1eEoIoflejObrxFDI0DJvtbmgW8"
     cse_id = "851813e81162b4ed4"