Update app.py

app.py

@@ -1,22 +1,45 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool, LiteLLMModel
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
+import os
+from random import randint
+import typing
+import pandas as pd
 
 from Gradio_UI import GradioUI
 
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
+def my_custom_tool(personality1:str, personality2:str)-> str: #it's import to specify the return type
     #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
+    """Этот иснтумент определяет, кто из двух людей круче. 
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        personality1: Первый человек
+        personality2: Второй человек
     """
-    return "What magic will you build ?"
+    return personality1 if randint(0, 1) else personality2
+
+@tool
+def create_excel(data:typing.List[typing.List[str]], columns:typing.List[str], file_name:str)-> str: #it's import to specify the return type
+    #Keep this format for the description / args / args description but feel free to modify the tool
+    """Этот иснтумент сохраняет датафрейм pandas в excel файл. И возвращает ответ, успешно или нет записан файл.
+    Args:
+        data: Параметр данных для загрузки в pandas и сохранения в файл. Формат список списков.
+        columns: Параметр список имен колонок.
+        file_name: Имя файла для сохранения.
+    """
+
+    df = pd.DataFrame(data, columns=columns)
+
+    try:
+        df.to_excel(file_name, index=False)
+    except Exception as e:
+        return e
+
+    return "Файл успешно сохранен"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -40,13 +63,13 @@ final_answer = FinalAnswerTool()
 model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
 # model_id='Qwen/Qwen2.5-Coder-32B-Instruct'
 
-model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id=model_id,# it is possible that this model may be overloaded
-custom_role_conversions=None,
-)
-
+# model = HfApiModel(
+# max_tokens=2096,
+# temperature=0.5,
+# model_id=model_id,# it is possible that this model may be overloaded
+# custom_role_conversions=None,
+# )
+model = LiteLLMModel(model_id="together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free", api_key=os.environ['TOGETHER_API_KEY'])
 
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
@@ -56,14 +79,15 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, get_current_time_in_timezone, my_custom_tool, create_excel], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates
+    prompt_templates=prompt_templates,
+    additional_authorized_imports=['matplotlib', 'numpy', 'matplotlib.pyplot']
 )