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Update app.py
Browse files
app.py
CHANGED
@@ -96,23 +96,8 @@ def generate_random_name(interpreter, vocab_size, sp, max_length=10, temperature
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parts = generated_name.split()
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if parts and len(parts[-1]) < 3:
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generated_name = " ".join(parts[:-1])
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stripped = generated_name.strip()
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hate_speech = detect_hate_speech(stripped)
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profanity = detect_profanity([stripped], language='All')
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output = ''
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if profanity > 0:
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output = "Profanity Detected"
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else:
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if hate_speech == ['Hate Speech']:
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output = 'Hate Speech Detected'
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elif hate_speech == ['Offensive Speech']:
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output = 'Offensive Speech Detected'
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elif hate_speech == ['No Hate and Offensive Speech']:
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output = stripped
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return
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def generateNames(type, amount, max_length=30, temperature=0.5, seed_text=""):
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if type == "Terraria":
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@@ -134,7 +119,21 @@ def generateNames(type, amount, max_length=30, temperature=0.5, seed_text=""):
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# Use the function to generate a name
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for _ in range(amount):
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generated_name = generate_random_name(interpreter, vocab_size, sp, seed_text=seed_text, max_length=max_length, temperature=temperature, max_seq_len=max_seq_len)
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return pd.DataFrame(names, columns=['Names'])
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elif type == "Skyrim":
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parts = generated_name.split()
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if parts and len(parts[-1]) < 3:
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generated_name = " ".join(parts[:-1])
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return generated_name.strip()
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def generateNames(type, amount, max_length=30, temperature=0.5, seed_text=""):
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if type == "Terraria":
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# Use the function to generate a name
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for _ in range(amount):
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generated_name = generate_random_name(interpreter, vocab_size, sp, seed_text=seed_text, max_length=max_length, temperature=temperature, max_seq_len=max_seq_len)
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stripped = generated_name.strip()
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hate_speech = detect_hate_speech(stripped)
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profanity = detect_profanity([stripped], language='All')
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name = ''
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if profanity > 0:
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name = "Profanity Detected"
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else:
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if hate_speech == ['Hate Speech']:
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name = 'Hate Speech Detected'
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elif hate_speech == ['Offensive Speech']:
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name = 'Offensive Speech Detected'
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elif hate_speech == ['No Hate and Offensive Speech']:
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name = generated_name
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names.append(name)
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return pd.DataFrame(names, columns=['Names'])
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elif type == "Skyrim":
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