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