Update app.py

app.py

@@ -1,69 +1,41 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
-import requests
-import pytz
-import yaml
-from tools.final_answer import FinalAnswerTool
+from smolagents import CodeAgent, HfApiModel, tool
 
-from Gradio_UI import GradioUI
-
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
+# ---- Tools ----
 @tool
-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:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
+def my_custom_tool(arg1: str, arg2: int) -> str:
+    """A tool that does nothing yet"""
+    return f"You passed arg1={arg1}, arg2={arg2}"
 
 @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:
-        # Create timezone object
-        tz = pytz.timezone(timezone)
-        # 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)}"
-
+    """Returns fake current time for testing"""
+    return f"Timezone {timezone} → 2025-09-21 10:00:00"
 
-final_answer = FinalAnswerTool()
-
-# 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' 
+@tool
+def FinalAnswerTool(answer: str) -> str:
+    """Final tool to return the agent's answer"""
+    return answer
 
+# ---- Model ----
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='HuggingFaceH4/zephyr-7b-beta',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    model_id="HuggingFaceH4/zephyr-7b-beta",
+    max_tokens=512,
+    temperature=0.5,
 )
 
-
-# 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)
-    
+# ---- Agent ----
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, my_custom_tool, get_current_time_in_timezone, image_generation_tool], ## 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
+    tools=[FinalAnswerTool, my_custom_tool, get_current_time_in_timezone],
+    max_steps=4,
 )
 
+# ---- Gradio UI ----
+import gradio as gr
+
+def chat_fn(message, history):
+    result = agent.run(message)
+    return result
 
-GradioUI(agent).launch()
+demo = gr.ChatInterface(fn=chat_fn, title="Smol Agent Test")
+demo.launch()