Update app.py

app.py

@@ -1,63 +1,61 @@
-from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
+import requests
 import pytz
 import yaml
-import random
 from tools.final_answer import FinalAnswerTool
 
 from Gradio_UI import GradioUI
 
-# Ferramenta para gerar um número aleatório entre 'start' e 'end'
+# Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def generate_random_number(start: int, end: int) -> int:
-    """Gera um número aleatório entre 'start' e 'end'.
-    
+def my_custom_tool(arg1:str, arg2:int)-> 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 
     Args:
-        start (int): O valor inicial do intervalo (inclusive).
-        end (int): O valor final do intervalo (inclusive).
-    
-    Returns:
-        int: Um número aleatório entre 'start' e 'end'.
+        arg1: the first argument
+        arg2: the second argument
     """
-    return random.randint(start, end)
+    return "What magic will you build ?"
 
-# Ferramenta para obter a hora local em um fuso horário específico
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
-    
     Args:
         timezone: A string representing a valid timezone (e.g., 'America/New_York').
     """
     try:
-        # Criando objeto de fuso horário
+        # Create timezone object
         tz = pytz.timezone(timezone)
-        # Obtendo a hora atual no fuso horário especificado
+        # Get current time in that timezone
         local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
         return f"The current local time in {timezone} is: {local_time}"
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
-# Instanciando a ferramenta de resposta final
+
 final_answer = FinalAnswerTool()
 
-# Modelo da Hugging Face (endereços e credenciais)
+# 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:
+# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
+
 model = HfApiModel(
-    max_tokens=2096,
-    temperature=0.5,
-    # Se o modelo acima estiver sobrecarregado, use este:
-    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
-    custom_role_conversions=None,
+max_tokens=2096,
+temperature=0.5,
+model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
+custom_role_conversions=None,
 )
 
-# Carregando os templates de prompts a partir de um arquivo YAML
+
+# Import tool from Hub
+image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-
-# Criando o agente com ferramentas e modelo
+    
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, generate_random_number],  # Adicionando ferramentas personalizadas (não remova final_answer)
+    tools=[final_answer], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -67,5 +65,5 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-# Iniciando a interface Gradio para o agente
-GradioUI(agent).launch()
+
+GradioUI(agent).launch()