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f21981d
1
Parent(s):
b268504
Initial commit for Toxic Detection project
Browse files- app.py +74 -77
- extended_negative_to_positive_words.txt +873 -7
app.py
CHANGED
@@ -84,19 +84,12 @@ Remember, consistent practice is the key to mastering these concepts. Apply your
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"""## Working Space"""
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import nltk
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import os
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nltk.download('wordnet')
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nltk.download('omw-1.4') # Untuk mendukung antonim multi-bahasa
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"""## Submit Notebook"""
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import random
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from transformers import pipeline
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import string
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from nltk.corpus import wordnet
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import nltk
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# Unduh resource WordNet
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nltk.download("wordnet")
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@@ -109,14 +102,14 @@ text_generator = pipeline("text-generation", model="gpt2")
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hate_speech_classifier = pipeline("text-classification", model="unitary/toxic-bert")
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# Confidence threshold untuk mendeteksi toksisitas
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CONFIDENCE_THRESHOLD = 0.
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# Initialize toxic counter
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toxic_counter = {"count": 0}
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# File path untuk menyimpan mapping negatif ke positif
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filepath = "extended_negative_to_positive_words.txt"
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# Daftar kata positif untuk fallback
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positive_words = ["kind", "friendly", "smart", "brilliant", "amazing", "wonderful", "great", "excellent"]
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@@ -147,22 +140,18 @@ def generate_random_antonym(word):
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# Fallback ke kata positif acak
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return random.choice(positive_words)
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# Fungsi untuk memuat
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def load_neg_to_pos_map(filepath):
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neg_to_pos_map = {}
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# Cek apakah file ada
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if not os.path.exists(filepath):
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# Jika file tidak ada, buat file kosong atau dengan data default
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with open(filepath, "w") as file:
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file.write("")
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print(f"File '{filepath}' tidak ditemukan. File baru telah dibuat.")
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# Baca file jika ada
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with open(filepath, "r") as file:
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for line_number, line in enumerate(file, start=1):
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if line.strip():
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parts = line.strip().split(":")
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if len(parts) == 2:
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neg, pos = parts
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neg_to_pos_map[neg.strip().lower()] = pos.strip()
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else:
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@@ -174,91 +163,93 @@ def update_neg_to_pos_file(filepath, word, opposite_word):
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with open(filepath, "a") as file:
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file.write(f"{word} : {opposite_word}\n")
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# Fungsi untuk mengganti kata
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def replace_toxic_words(text, neg_to_pos_map, filepath="extended_negative_to_positive_words.txt"):
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words = text.split()
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replaced_words = []
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unresolved = []
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for word in words:
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# Bersihkan kata dari tanda baca
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clean_word = word.strip(string.punctuation).lower()
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# Gunakan model untuk mendeteksi toksik
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result = hate_speech_classifier(clean_word)
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label = result[0]['label']
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confidence = result[0]['score']
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if "toxic" in label.lower() and confidence >= CONFIDENCE_THRESHOLD:
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# Jika kata toksik, cek apakah sudah ada pengganti
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if clean_word in neg_to_pos_map:
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replacement = neg_to_pos_map[clean_word]
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replaced_word = word.replace(clean_word, replacement)
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replaced_words.append(replaced_word)
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else:
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updates.append((clean_word, antonym))
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replaced_word = word.replace(clean_word, antonym)
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replaced_words.append(replaced_word)
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else:
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# Jika gagal, fallback ke kata positif acak
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fallback_word = random.choice(positive_words)
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neg_to_pos_map[clean_word] = fallback_word
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update_neg_to_pos_file(filepath, clean_word, fallback_word)
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updates.append((clean_word, fallback_word))
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replaced_word = word.replace(clean_word, fallback_word)
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replaced_words.append(replaced_word)
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else:
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return
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# Fungsi untuk mendeteksi dan mereparafrase teks
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def detect_and_paraphrase_with_ban(text, neg_to_pos_map, filepath="extended_negative_to_positive_words.txt"):
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#
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if toxic_counter["count"] >= 3:
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return "You have been banned for submitting toxic content multiple times. Please refresh to try again."
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# Deteksi konten
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result = hate_speech_classifier(text)
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label = result[0]['label']
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confidence = result[0]['score']
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detection_info = f"Detection: {label} (Confidence: {confidence:.2f})\n"
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# Jika teks terdeteksi toksik
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if "toxic" in label.lower() and confidence >= CONFIDENCE_THRESHOLD:
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toxic_counter["count"] += 1
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detection_info += "Detected toxic content. Rewriting...\n"
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if toxic_counter["count"] >= 3:
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return "You have been banned for submitting toxic content multiple times. Please refresh to try again."
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# Ganti kata
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rewritten_text,
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if unresolved:
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detection_info += "Unresolved words (no antonyms found): " + ", ".join(unresolved) + "\n"
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return detection_info + f"Rewritten Text: {rewritten_text}"
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else:
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#
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neg_to_pos_map = load_neg_to_pos_map(filepath)
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import gradio as gr
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# Fungsi untuk Gradio
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neg_to_pos_map = load_neg_to_pos_map(filepath)
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return detect_and_paraphrase_with_ban(input_text, neg_to_pos_map, filepath)
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#
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with gr.Blocks() as chatbot_interface:
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gr.Markdown("## Toxicity Detection")
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with gr.Row():
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input_text = gr.Textbox(label="Input Text", placeholder="Type something...", lines=2)
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output_text = gr.Textbox(label="Output Text", interactive=False)
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submit_button.click(detect_and_rewrite_chatbot, inputs=input_text, outputs=output_text)
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# Jalankan Gradio
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if __name__ == "__main__":
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chatbot_interface.launch()
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"""## Working Space"""
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import random
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from transformers import pipeline
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import string
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from nltk.corpus import wordnet
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import nltk
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import os
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# Unduh resource WordNet
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nltk.download("wordnet")
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hate_speech_classifier = pipeline("text-classification", model="unitary/toxic-bert")
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# Confidence threshold untuk mendeteksi toksisitas
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CONFIDENCE_THRESHOLD = 0.4
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# File path untuk menyimpan mapping negatif ke positif
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filepath = "extended_negative_to_positive_words.txt"
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# Tambahkan counter untuk melacak jumlah pelanggaran
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toxic_counter = {"count": 0}
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# Daftar kata positif untuk fallback
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positive_words = ["kind", "friendly", "smart", "brilliant", "amazing", "wonderful", "great", "excellent"]
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# Fallback ke kata positif acak
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return random.choice(positive_words)
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# Fungsi untuk memuat peta negatif ke positif dari file
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def load_neg_to_pos_map(filepath):
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neg_to_pos_map = {}
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if not os.path.exists(filepath):
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with open(filepath, "w") as file:
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file.write("")
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print(f"File '{filepath}' tidak ditemukan. File baru telah dibuat.")
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with open(filepath, "r") as file:
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for line_number, line in enumerate(file, start=1):
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if line.strip():
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parts = line.strip().split(":")
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if len(parts) == 2:
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neg, pos = parts
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neg_to_pos_map[neg.strip().lower()] = pos.strip()
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else:
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with open(filepath, "a") as file:
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file.write(f"{word} : {opposite_word}\n")
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# Fungsi untuk mendeteksi dan mengganti kata toxic (per kata)
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def replace_toxic_words(text, neg_to_pos_map, filepath="extended_negative_to_positive_words.txt"):
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words = text.split()
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replaced_words = []
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replacements = [] # Untuk menyimpan pasangan kata toxic dan penggantinya
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for word in words:
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clean_word = word.strip(string.punctuation).lower()
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result = hate_speech_classifier(clean_word)
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label = result[0]['label']
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confidence = result[0]['score']
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if "toxic" in label.lower() and confidence >= CONFIDENCE_THRESHOLD:
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if clean_word in neg_to_pos_map:
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replacement = neg_to_pos_map[clean_word]
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else:
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replacement = generate_random_antonym_with_g4f(clean_word)
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neg_to_pos_map[clean_word] = replacement
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update_neg_to_pos_file(filepath, clean_word, replacement)
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replaced_word = word.replace(clean_word, replacement)
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replacements.append((clean_word, replacement))
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else:
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replaced_word = word
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replaced_words.append(replaced_word)
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rewritten_text = " ".join(replaced_words)
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return rewritten_text, replacements
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# Fungsi utama untuk mendeteksi dan mereparafrase teks dengan logika ban
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def detect_and_paraphrase_with_ban(text, neg_to_pos_map, filepath="extended_negative_to_positive_words.txt"):
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# Periksa apakah pengguna sudah diblokir
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if toxic_counter["count"] >= 3:
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return "You have been banned for submitting toxic content multiple times. Please refresh to try again."
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# Deteksi apakah teks mengandung konten toxic
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result = hate_speech_classifier(text)
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label = result[0]['label']
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confidence = result[0]['score']
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if "toxic" in label.lower() and confidence >= CONFIDENCE_THRESHOLD:
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# Tambahkan jumlah pelanggaran
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toxic_counter["count"] += 1
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# Cek apakah pengguna perlu diblokir
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if toxic_counter["count"] >= 3:
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return "You have been banned for submitting toxic content multiple times. Please refresh to try again."
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# Ganti kata-kata toxic dalam teks
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rewritten_text, replacements = replace_toxic_words(text, neg_to_pos_map, filepath)
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replacement_info = ", ".join([f"'{original}' → '{replacement}'" for original, replacement in replacements])
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return (
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f"Detection: Toxic (Confidence: {confidence:.2%})\n"
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f"Rewritten Text: {rewritten_text}\n"
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f"Replacements: {replacement_info if replacement_info else 'None'}"
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)
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else:
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return f"Detection: Non-toxic (Confidence: {confidence:.2%})\nOriginal Text: {text}"
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# Fungsi untuk menampilkan hasil deteksi per kata
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def test_per_word(text, neg_to_pos_map, filepath="extended_negative_to_positive_words.txt"):
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words = text.split()
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print(f"Original Text: {text}\n")
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print("Per-word Detection and Replacement:")
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rewritten_text, replacements = replace_toxic_words(text, neg_to_pos_map, filepath)
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toxic_count = 0
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for word in words:
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clean_word = word.strip(string.punctuation).lower()
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result = hate_speech_classifier(clean_word)
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label = result[0]['label']
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confidence = result[0]['score']
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if "toxic" in label.lower() and confidence >= CONFIDENCE_THRESHOLD:
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toxic_count += 1
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replacement = neg_to_pos_map.get(clean_word, "No Replacement")
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print(f"Word: '{word}' -> Label: '{label}', Confidence: {confidence:.2f}, Replacement: '{replacement}'")
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else:
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print(f"Word: '{word}' -> Label: 'non-toxic', Confidence: {confidence:.2f}, Replacement: None")
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print("\nRewritten Text:")
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print(rewritten_text)
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print(f"\nToxic Words Detected: {toxic_count}")
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return rewritten_text
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# Memuat peta kata negatif ke positif dari file
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neg_to_pos_map = load_neg_to_pos_map(filepath)
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# Fungsi untuk mereset counter ban
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def reset_toxic_counter():
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toxic_counter["count"] = 0
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return "Toxic counter has been reset."
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# Interface Gradio
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import gradio as gr
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# Fungsi untuk Gradio
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neg_to_pos_map = load_neg_to_pos_map(filepath)
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return detect_and_paraphrase_with_ban(input_text, neg_to_pos_map, filepath)
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# Fungsi Gradio untuk Reset
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def reset_count():
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return reset_toxic_counter()
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# Buat interface Gradio
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with gr.Blocks() as chatbot_interface:
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gr.Markdown("## Toxicity Detection")
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with gr.Row():
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input_text = gr.Textbox(label="Input Text", placeholder="Type something...", lines=2)
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output_text = gr.Textbox(label="Output Text", interactive=False)
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with gr.Row():
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submit_button = gr.Button("Submit")
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reset_button = gr.Button("Reset Ban Count")
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submit_button.click(detect_and_rewrite_chatbot, inputs=input_text, outputs=output_text)
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reset_button.click(reset_count, outputs=output_text)
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# Jalankan Gradio
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if __name__ == "__main__":
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chatbot_interface.launch()
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extended_negative_to_positive_words.txt
CHANGED
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neglected : cared-for
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negative : positive
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nervous : relaxed
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|
97 |
offensive : respectful
|
98 |
overwhelmed : composed
|
99 |
painful : comfortable
|
@@ -138,10 +999,15 @@ despair : hope
|
|
138 |
inequality : equality
|
139 |
oppression : freedom
|
140 |
idiot : smart
|
141 |
-
|
142 |
-
|
143 |
-
|
144 |
-
|
145 |
-
|
146 |
-
|
147 |
-
|
|
|
|
|
|
|
|
|
|
|
|
94 |
neglected : cared-for
|
95 |
negative : positive
|
96 |
nervous : relaxed
|
97 |
+
offensive : respectfu
|
98 |
+
overwhelmed : composed
|
99 |
+
painful : comfortable
|
100 |
+
pathetic : inspiring
|
101 |
+
poor : wealthy
|
102 |
+
powerless : powerful
|
103 |
+
reckless : cautious
|
104 |
+
rejected : accepted
|
105 |
+
sad : happy
|
106 |
+
selfish : generous
|
107 |
+
shy : confident
|
108 |
+
sick : healthy
|
109 |
+
silent : talkative
|
110 |
+
slow : fast
|
111 |
+
small : big
|
112 |
+
stubborn : flexible
|
113 |
+
stupid : intelligent
|
114 |
+
tense : relaxed
|
115 |
+
terrible : great
|
116 |
+
ugly : beautiful
|
117 |
+
unkind : kind
|
118 |
+
unloved : loved
|
119 |
+
unsuccessful : successful
|
120 |
+
useless : useful
|
121 |
+
weak : strong
|
122 |
+
wicked : righteous
|
123 |
+
worthless : valuable
|
124 |
+
abandoned : cherished
|
125 |
+
abhorrent : admirable
|
126 |
+
absent : present
|
127 |
+
abusive : caring
|
128 |
+
addicted : free
|
129 |
+
afraid : brave
|
130 |
+
aggressive : peaceful
|
131 |
+
aimless : purposeful
|
132 |
+
alarming : comforting
|
133 |
+
aloof : friendly
|
134 |
+
angry : calm
|
135 |
+
annoying : pleasant
|
136 |
+
anxious : relaxed
|
137 |
+
arrogant : humble
|
138 |
+
ashamed : proud
|
139 |
+
awful : wonderful
|
140 |
+
bad : good
|
141 |
+
barbaric : civilized
|
142 |
+
barren : fertile
|
143 |
+
baseless : grounded
|
144 |
+
bitter : sweet
|
145 |
+
bizarre : normal
|
146 |
+
boring : exciting
|
147 |
+
brutal : gentle
|
148 |
+
callous : compassionate
|
149 |
+
careless : careful
|
150 |
+
chaotic : organized
|
151 |
+
cheap : expensive
|
152 |
+
cheating : honest
|
153 |
+
clumsy : graceful
|
154 |
+
cold : warm
|
155 |
+
combative : agreeable
|
156 |
+
conceited : modest
|
157 |
+
confused : clear
|
158 |
+
controlling : cooperative
|
159 |
+
cowardly : courageous
|
160 |
+
cruel : kind
|
161 |
+
cursed : blessed
|
162 |
+
damaged : repaired
|
163 |
+
dangerous : safe
|
164 |
+
dark : bright
|
165 |
+
dead : alive
|
166 |
+
defeated : victorious
|
167 |
+
defenseless : protected
|
168 |
+
deficient : sufficient
|
169 |
+
depressed : cheerful
|
170 |
+
desolate : lively
|
171 |
+
desperate : hopeful
|
172 |
+
difficult : easy
|
173 |
+
dirty : clean
|
174 |
+
dishonest : honest
|
175 |
+
disloyal : loyal
|
176 |
+
disrespectful : respectful
|
177 |
+
distant : close
|
178 |
+
distressed : calm
|
179 |
+
distrustful : trusting
|
180 |
+
dull : vibrant
|
181 |
+
empty : full
|
182 |
+
envious : content
|
183 |
+
evil : good
|
184 |
+
fearful : fearless
|
185 |
+
foolish : wise
|
186 |
+
forgotten : remembered
|
187 |
+
frail : strong
|
188 |
+
frantic : serene
|
189 |
+
frustrated : satisfied
|
190 |
+
gloomy : joyful
|
191 |
+
greedy : generous
|
192 |
+
grieving : celebrating
|
193 |
+
guilty : innocent
|
194 |
+
harmful : harmless
|
195 |
+
hateful : loving
|
196 |
+
heartless : compassionate
|
197 |
+
helpless : empowered
|
198 |
+
hopeless : hopeful
|
199 |
+
hostile : friendly
|
200 |
+
humiliated : dignified
|
201 |
+
ignorant : knowledgeable
|
202 |
+
impatient : patient
|
203 |
+
impolite : polite
|
204 |
+
inactive : active
|
205 |
+
incompetent : competent
|
206 |
+
inferior : superior
|
207 |
+
insecure : confident
|
208 |
+
insulting : praising
|
209 |
+
jealous : content
|
210 |
+
lazy : industrious
|
211 |
+
lethargic : energetic
|
212 |
+
lonely : connected
|
213 |
+
lost : found
|
214 |
+
malicious : benevolent
|
215 |
+
mean : kind
|
216 |
+
miserable : happy
|
217 |
+
neglected : cared-for
|
218 |
+
negative : positive
|
219 |
+
nervous : relaxed
|
220 |
+
offensive : respectful
|
221 |
+
overwhelmed : composed
|
222 |
+
painful : comfortable
|
223 |
+
pathetic : inspiring
|
224 |
+
poor : wealthy
|
225 |
+
powerless : powerful
|
226 |
+
reckless : cautious
|
227 |
+
rejected : accepted
|
228 |
+
sad : happy
|
229 |
+
selfish : generous
|
230 |
+
shy : confident
|
231 |
+
sick : healthy
|
232 |
+
silent : talkative
|
233 |
+
slow : fast
|
234 |
+
small : big
|
235 |
+
stubborn : flexible
|
236 |
+
stupid : intelligent
|
237 |
+
tense : relaxed
|
238 |
+
terrible : great
|
239 |
+
ugly : beautiful
|
240 |
+
unkind : kind
|
241 |
+
unloved : loved
|
242 |
+
unsuccessful : successful
|
243 |
+
useless : useful
|
244 |
+
weak : strong
|
245 |
+
wicked : righteous
|
246 |
+
worthless : valuable
|
247 |
+
abandoned : cherished
|
248 |
+
abhorrent : admirable
|
249 |
+
absent : present
|
250 |
+
abusive : caring
|
251 |
+
addicted : free
|
252 |
+
afraid : brave
|
253 |
+
aggressive : peaceful
|
254 |
+
aimless : purposeful
|
255 |
+
alarming : comforting
|
256 |
+
aloof : friendly
|
257 |
+
angry : calm
|
258 |
+
annoying : pleasant
|
259 |
+
anxious : relaxed
|
260 |
+
arrogant : humble
|
261 |
+
ashamed : proud
|
262 |
+
awful : wonderful
|
263 |
+
bad : good
|
264 |
+
barbaric : civilized
|
265 |
+
barren : fertile
|
266 |
+
baseless : grounded
|
267 |
+
bitter : sweet
|
268 |
+
bizarre : normal
|
269 |
+
boring : exciting
|
270 |
+
brutal : gentle
|
271 |
+
callous : compassionate
|
272 |
+
careless : careful
|
273 |
+
chaotic : organized
|
274 |
+
cheap : expensive
|
275 |
+
cheating : honest
|
276 |
+
clumsy : graceful
|
277 |
+
cold : warm
|
278 |
+
combative : agreeable
|
279 |
+
conceited : modest
|
280 |
+
confused : clear
|
281 |
+
controlling : cooperative
|
282 |
+
cowardly : courageous
|
283 |
+
cruel : kind
|
284 |
+
cursed : blessed
|
285 |
+
damaged : repaired
|
286 |
+
dangerous : safe
|
287 |
+
dark : bright
|
288 |
+
dead : alive
|
289 |
+
defeated : victorious
|
290 |
+
defenseless : protected
|
291 |
+
deficient : sufficient
|
292 |
+
depressed : cheerful
|
293 |
+
desolate : lively
|
294 |
+
desperate : hopeful
|
295 |
+
difficult : easy
|
296 |
+
dirty : clean
|
297 |
+
dishonest : honest
|
298 |
+
disloyal : loyal
|
299 |
+
disrespectful : respectful
|
300 |
+
distant : close
|
301 |
+
distressed : calm
|
302 |
+
distrustful : trusting
|
303 |
+
dull : vibrant
|
304 |
+
empty : full
|
305 |
+
envious : content
|
306 |
+
evil : good
|
307 |
+
fearful : fearless
|
308 |
+
foolish : wise
|
309 |
+
forgotten : remembered
|
310 |
+
frail : strong
|
311 |
+
frantic : serene
|
312 |
+
frustrated : satisfied
|
313 |
+
gloomy : joyful
|
314 |
+
greedy : generous
|
315 |
+
grieving : celebrating
|
316 |
+
guilty : innocent
|
317 |
+
harmful : harmless
|
318 |
+
hateful : loving
|
319 |
+
heartless : compassionate
|
320 |
+
helpless : empowered
|
321 |
+
hopeless : hopeful
|
322 |
+
hostile : friendly
|
323 |
+
humiliated : dignified
|
324 |
+
ignorant : knowledgeable
|
325 |
+
impatient : patient
|
326 |
+
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jealous : content
|
825 |
+
lazy : industrious
|
826 |
+
lethargic : energetic
|
827 |
+
lonely : connected
|
828 |
+
lost : found
|
829 |
+
malicious : benevolent
|
830 |
+
mean : kind
|
831 |
+
miserable : happy
|
832 |
+
neglected : cared-for
|
833 |
+
negative : positive
|
834 |
+
nervous : relaxed
|
835 |
+
offensive : respectful
|
836 |
+
overwhelmed : composed
|
837 |
+
painful : comfortable
|
838 |
+
pathetic : inspiring
|
839 |
+
poor : wealthy
|
840 |
+
powerless : powerful
|
841 |
+
reckless : cautious
|
842 |
+
rejected : accepted
|
843 |
+
sad : happy
|
844 |
+
selfish : generous
|
845 |
+
shy : confident
|
846 |
+
sick : healthy
|
847 |
+
silent : talkative
|
848 |
+
slow : fast
|
849 |
+
small : big
|
850 |
+
stubborn : flexible
|
851 |
+
stupid : intelligent
|
852 |
+
tense : relaxed
|
853 |
+
terrible : great
|
854 |
+
ugly : beautiful
|
855 |
+
unkind : kind
|
856 |
+
unloved : loved
|
857 |
+
unsuccessful : successful
|
858 |
+
useless : useful
|
859 |
+
weak : strong
|
860 |
+
wicked : righteous
|
861 |
+
worthless : valuable
|
862 |
+
abandoned : cherished
|
863 |
+
abhorrent : admirable
|
864 |
+
absent : present
|
865 |
+
abusive : caring
|
866 |
+
addicted : free
|
867 |
+
afraid : brave
|
868 |
+
aggressive : peaceful
|
869 |
+
aimless : purposeful
|
870 |
+
alarming : comforting
|
871 |
+
aloof : friendly
|
872 |
+
angry : calm
|
873 |
+
annoying : pleasant
|
874 |
+
anxious : relaxed
|
875 |
+
arrogant : humble
|
876 |
+
ashamed : proud
|
877 |
+
awful : wonderful
|
878 |
+
bad : good
|
879 |
+
barbaric : civilized
|
880 |
+
barren : fertile
|
881 |
+
baseless : grounded
|
882 |
+
bitter : sweet
|
883 |
+
bizarre : normal
|
884 |
+
boring : exciting
|
885 |
+
brutal : gentle
|
886 |
+
callous : compassionate
|
887 |
+
careless : careful
|
888 |
+
chaotic : organized
|
889 |
+
cheap : expensive
|
890 |
+
cheating : honest
|
891 |
+
clumsy : graceful
|
892 |
+
cold : warm
|
893 |
+
combative : agreeable
|
894 |
+
conceited : modest
|
895 |
+
confused : clear
|
896 |
+
controlling : cooperative
|
897 |
+
cowardly : courageous
|
898 |
+
cruel : kind
|
899 |
+
cursed : blessed
|
900 |
+
damaged : repaired
|
901 |
+
dangerous : safe
|
902 |
+
dark : bright
|
903 |
+
dead : alive
|
904 |
+
defeated : victorious
|
905 |
+
defenseless : protected
|
906 |
+
deficient : sufficient
|
907 |
+
depressed : cheerful
|
908 |
+
desolate : lively
|
909 |
+
desperate : hopeful
|
910 |
+
difficult : easy
|
911 |
+
dirty : clean
|
912 |
+
dishonest : honest
|
913 |
+
disloyal : loyal
|
914 |
+
disrespectful : respectful
|
915 |
+
distant : close
|
916 |
+
distressed : calm
|
917 |
+
distrustful : trusting
|
918 |
+
dull : vibrant
|
919 |
+
empty : full
|
920 |
+
envious : content
|
921 |
+
evil : good
|
922 |
+
fearful : fearless
|
923 |
+
foolish : wise
|
924 |
+
forgotten : remembered
|
925 |
+
frail : strong
|
926 |
+
frantic : serene
|
927 |
+
frustrated : satisfied
|
928 |
+
gloomy : joyful
|
929 |
+
greedy : generous
|
930 |
+
grieving : celebrating
|
931 |
+
guilty : innocent
|
932 |
+
harmful : harmless
|
933 |
+
hateful : loving
|
934 |
+
heartless : compassionate
|
935 |
+
helpless : empowered
|
936 |
+
hopeless : hopeful
|
937 |
+
hostile : friendly
|
938 |
+
humiliated : dignified
|
939 |
+
ignorant : knowledgeable
|
940 |
+
impatient : patient
|
941 |
+
impolite : polite
|
942 |
+
inactive : active
|
943 |
+
incompetent : competent
|
944 |
+
inferior : superior
|
945 |
+
insecure : confident
|
946 |
+
insulting : praising
|
947 |
+
jealous : content
|
948 |
+
lazy : industrious
|
949 |
+
lethargic : energetic
|
950 |
+
lonely : connected
|
951 |
+
lost : found
|
952 |
+
malicious : benevolent
|
953 |
+
mean : kind
|
954 |
+
miserable : happy
|
955 |
+
neglected : cared-for
|
956 |
+
negative : positive
|
957 |
+
nervous : relaxed
|
958 |
offensive : respectful
|
959 |
overwhelmed : composed
|
960 |
painful : comfortable
|
|
|
999 |
inequality : equality
|
1000 |
oppression : freedom
|
1001 |
idiot : smart
|
1002 |
+
worst : brilliant
|
1003 |
+
die : kind
|
1004 |
+
rot : great
|
1005 |
+
hell : amazing
|
1006 |
+
fuck : amazing
|
1007 |
+
fucking : wonderful
|
1008 |
+
ass : smart
|
1009 |
+
killing : kind
|
1010 |
+
cunt : friendly
|
1011 |
+
worthlesss : brilliant
|
1012 |
+
shit : kind
|
1013 |
+
you're : brilliant
|