Update app.py

app.py

@@ -94,7 +94,7 @@ def generate_descriptions(user_prompt, seed_words_input, batch_size=100, max_ite
     iteration_count = 0
 
     print("Initializing the text generation pipeline with 16-bit precision...")
-    model_name = 'mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated'
+    model_name = 'NousResearch/Meta-Llama-3.1-8B-Instruct'
     model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map='auto')
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     text_generator = pipeline('text-generation', model=model, tokenizer=tokenizer)