Update app.py

app.py

@@ -9,39 +9,6 @@ import json
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
-class ModelMathTool(Tool):
-    name = "math_model"
-    description = "Answers advanced math questions using a pretrained math model."
-    inputs = {
-        "problem": {
-            "type": "string",
-            "description": "Math problem to solve.",
-        }
-    }
-
-    output_type = "string"
-
-    def __init__(self, model_id="Qwen/Qwen2.5-Math-7B"):
-        print(f"Loading math model: {model_id}")
-        self.tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
-        self.model = AutoModelForCausalLM.from_pretrained(
-            model_id,
-            torch_dtype=torch.float16,
-            device_map="auto",
-            trust_remote_code=True
-        )
-
-
-            
-    
-    def forward(self, problem: str) -> str:
-        print(f"[MathModelTool] Question: {question}")
-        inputs = self.tokenizer(question, return_tensors="pt").to(self.model.device)
-        with torch.no_grad():
-            output = self.model.generate(**inputs, max_new_tokens=256)
-        response = self.tokenizer.decode(output[0], skip_special_tokens=True)
-        return response
-
 
 # (Keep Constants as is)
 # --- Constants ---