Update README.md

README.md

@@ -91,7 +91,7 @@ def predict(text, model, tokenizer):
     return predictions
 
 # Example usage
-new_text = "This isn't Twitter: try to comment on the article, and not your current activities."
+new_text = "Fuck off stuped trash"
 predictions = predict(new_text, model, tokenizer)
 
 # Define the categories
@@ -113,6 +113,34 @@ output = {
 print(json.dumps(output, indent=4, ensure_ascii=False))
 ```
 
+Output:
+
+```json
+{
+    "text": "Fuck off stuped trash",
+    "category_scores": {
+        "harassment": 0.9272650480270386,
+        "harassment_threatening": 0.0013139015063643456,
+        "hate": 0.011709265410900116,
+        "hate_threatening": 1.1083522622357123e-05,
+        "self_harm": 0.00039102151640690863,
+        "self_harm_instructions": 0.0002464024000801146,
+        "self_harm_intent": 0.00031603744719177485,
+        "sexual": 0.020730027928948402,
+        "sexual_minors": 0.00018848323088604957,
+        "violence": 0.008375612087547779,
+        "violence_graphic": 2.8763401132891886e-05,
+        "self-harm": 0.00043840022408403456,
+        "sexual/minors": 0.00018241720681544393,
+        "hate/threatening": 1.1130881830467843e-05,
+        "violence/graphic": 2.7211604901822284e-05,
+        "self-harm/intent": 0.00026327319210395217,
+        "self-harm/instructions": 0.00023905260604806244,
+        "harassment/threatening": 0.0012845908058807254
+    }
+}
+```
+
 ## Notes
 
 - This model is currently configured to work only with English text.