Update allpreds.py

allpreds.py

@@ -14,7 +14,7 @@ list_of_biases_and_endpts = {"Gender Bias": {"bias_type": "gender_bias", "endpoi
 
 # this dictionary keeps track of the order of biased confidence score
 # (if order = 1, it means that at index 1 the value is bias confidence, if order =0 it means that at index 0 the value is bias confidence)
-order_in_confidence = {"gender_bias": 1, "racial_bias": 1, "political_bias": 0, "hate_speech": 0}
+order_in_confidence = {"gender_bias": 0, "racial_bias": 1, "political_bias": 0, "hate_speech": 0}
 
 
 
@@ -41,8 +41,8 @@ def make_preds(content, bias_type):
 # the 'content' and 'prediction' columns. The prediction column contains the bias confidence score. 
 # predict function also returns the bias percentage
 def predict(content, bias_type, endpoint_id):
-    # split the article into 20 work chunks using the function
-    chunks = split_into_20_word_chunks(content)
+    # split the article into sentences
+    chunks = split_into_sentences(content)
     possibly_biased = []
     # define the dataframe with two columns - 'content' and 'predictions'
     df = pd.DataFrame(columns=['content', 'predictions'])