Updated

app.py

@@ -128,11 +128,11 @@ with gr.Blocks() as demo:
     char_count = gr.Textbox(label="Minumum Character Limit Check")
     input_text.change(fn=len_validator, inputs=input_text, outputs=char_count)
 
-    # with gr.Row():
-    #     btn = gr.Button("Bias Buster")
-    #     out = gr.Textbox(label="Bias Corrected Full Input", interactive=False)
-    #     corrections_output = gr.Textbox(label="Bias Corrections", interactive=False)
-    #     btn.click(fn=update, inputs=input_text, outputs=[out, corrections_output])
+    with gr.Row():
+        btn = gr.Button("Bias Buster")
+        out = gr.Textbox(label="Bias Corrected Full Input", interactive=False)
+        corrections_output = gr.Textbox(label="Bias Corrections", interactive=False)
+        btn.click(fn=update, inputs=input_text, outputs=[out, corrections_output])
 
     with gr.Row():
         models = gr.Dropdown(

plagiarism.py

@@ -141,7 +141,7 @@ def matching_score(sentence_content_tuple):
 
 
 def process_with_multiprocessing(input_data):
-    with Pool(processes=4) as pool:
+    with Pool(processes=6) as pool:
         scores = pool.map(matching_score, input_data)
     return scores
 
@@ -342,7 +342,7 @@ def html_highlight(
         source_block_size,
     )
 
-    html_content = "<link href='https://fonts.googleapis.com/css?family=Roboto' rel='stylesheet'>\n<div style='font-family: {font}; border: 2px solid black; background-color: #333333; padding: 10px; color: #FFFFFF;'>"
+    html_content = "<link href='https://fonts.googleapis.com/css?family=Roboto' rel='stylesheet'>\n<div style='font-family: {font}; border: 2px solid black; padding: 10px; color: #FFFFFF;'>"
     prev_idx = None
     combined_sentence = ""
     for sentence, _, _, idx in sentence_scores: