Update app.py

app.py

@@ -3,10 +3,34 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from smolagents import DuckDuckGoSearchTool,HfApiModel,load_tool, CodeAgent
+from smolagents import DuckDuckGoSearchTool,HfApiModel,load_tool, CodeAgent,PythonInterpreterTool,VisitWebpageTool,BaseTool
 from smolagents import CodeAgent
 import hashlib
 import json
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+class MathModelTool(BaseTool):
+    name = "math_model"
+    description = "Answers advanced math questions using a pretrained math model."
+
+    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 run(self, question: 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)
@@ -20,7 +44,8 @@ import os
 os.makedirs("cache", exist_ok=True)
 print("Made dir")
 web_search = DuckDuckGoSearchTool()
-
+python_interpreter = PythonInterpreterTool()
+visit_webpage_tool = VisitWebpageTool()
 
 
 # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
@@ -55,8 +80,8 @@ class BasicAgent:
         print("BasicAgent initialized.")
         self.agent = CodeAgent(
             model=model,
-            tools=[web_search], 
-            max_steps=5,
+            tools=[web_search,python_interpreter,visit_webpage_tool], 
+            max_steps=2,
             verbosity_level=1,
             grammar=None,
             planning_interval=3,