Update app.py

app.py

@@ -6,17 +6,14 @@ model_name = "ICEPVP8977/Uncensored_Qwen2.5_Coder_3B"
 
 tokenizer = AutoTokenizer.from_pretrained(
     model_name,
-    trust_remote_code=True,
-    use_fast=False
+    trust_remote_code=True
 )
-
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
     trust_remote_code=True,
     torch_dtype=torch.float32,
     low_cpu_mem_usage=True
 )
-
 model.eval()
 
 def generate(prompt):
@@ -26,9 +23,7 @@ def generate(prompt):
         tokenize=False,
         add_generation_prompt=True
     )
-
     inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
-
     with torch.no_grad():
         outputs = model.generate(
             **inputs,
@@ -37,7 +32,6 @@ def generate(prompt):
             temperature=0.7,
             pad_token_id=tokenizer.eos_token_id
         )
-
     result = tokenizer.decode(
         outputs[0][inputs["input_ids"].shape[-1]:],
         skip_special_tokens=True