File size: 1,868 Bytes
fb47f19 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
license: apache-2.0
datasets:
- SamirXR/NyX-Roleplay
- Isotonic/human_assistant_conversation
- itsahyadav/conversation.json
- flammenai/character-roleplay-DPO
- Seikaijyu/Classical-Chinese-Roleplay
language:
- en
pipeline_tag: text-classification
---
This AI predicts if a text is roleplay or not (returns percentage).
Created by NexusAI Join our discord server: https://discord.gg/7zvkzYutvF
# How to use?
```py
from tensorflow import keras
class RPClassifier:
def __init__(self, model_path='anti_rp.h5'):
self.model_path = model_path
self.model = None
self.load_model()
def load_model(self):
if self.model is None:
try:
self.model = keras.models.load_model(self.model_path)
except (FileNotFoundError, OSError):
raise Exception("Model file not found")
async def predict(self, text):
if not self.model:
raise Exception("Model not found")
try:
tokenizer = keras.preprocessing.text.Tokenizer()
tokenizer.fit_on_texts([text])
sequence = tokenizer.texts_to_sequences([text])
padded_sequence = keras.preprocessing.sequence.pad_sequences(sequence, maxlen=self.model.input_shape[1])
prediction = self.model.predict(padded_sequence)[0][0]
return prediction
except Exception as e:
raise Exception("Error occurred while predicting roleplay. {e}")
async def analyze(self, input_text):
rp_percentage = await self.predict(input_text)
return rp_percentage
async def main():
classifier = RPClassifier()
while True:
input_text = input("> ")
if input_text.lower() == 'exit':
break
result = await classifier.analyze(input_text)
print(result)
import asyncio
asyncio.run(main())
``` |