Update app.py

app.py

@@ -1,63 +1,73 @@
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
+import requests
 import pytz
+import yaml
+from tools.final_answer import FinalAnswerTool
+from openai import OpenAI
 import gradio as gr
+import os
+api_key = os.getenv(“OPENAI_API_KEY”)
+client = OpenAI(api_key=api_key)
+from Gradio_UI import GradioUI
 
-# Define tools
-def combine_string_and_number(text: str, number: int) -> str:
-    """Combines a string and a number into a message."""
-    return f"You entered '{text}' and the number {number}."
+# 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
+    #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 get_time_in_timezone(timezone: str) -> str:
-    """Gets the current time in the specified timezone."""
+@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"Current time in {timezone}: {local_time}"
+        return f"The current local time in {timezone} is: {local_time}"
     except Exception as e:
-        return f"Error: Invalid timezone '{timezone}'"
-
-# Simple agent class
-class MyFirstAgent:
-    def __init__(self):
-        self.tools = {
-            "combine": combine_string_and_number,
-            "time": get_time_in_timezone
-        }
-
-    def run(self, query: str) -> str:
-        query = query.lower().strip()
-        if query.startswith("combine"):
-            try:
-                parts = query.split("combine")[-1].strip().split("and")
-                text = parts[0].strip()
-                number = int(parts[1].strip())
-                return self.tools["combine"](text, number)
-            except:
-                return "Error: Please use format 'combine <text> and <number>'"
-        elif query.startswith("time in"):
-            try:
-                timezone = query.split("time in")[-1].strip()
-                return self.tools["time"](timezone)
-            except:
-                return "Error: Please use format 'time in <timezone>'"
-        else:
-            return "Sorry, I only understand 'combine <text> and <number>' or 'time in <timezone>'"
-
-# Create agent
-agent = MyFirstAgent()
-
-# Define Gradio interface function
-def run_agent(query: str) -> str:
-    return agent.run(query)
-
-# Create and launch Gradio interface
-interface = gr.Interface(
-    fn=run_agent,
-    inputs=gr.Textbox(label="Enter your command", placeholder="e.g., combine hello and 42 or time in America/New_York"),
-    outputs=gr.Textbox(label="Agent Response"),
-    title="My First Agent",
-    description="Try commands like 'combine hello and 42' or 'time in America/New_York'"
+        return f"Error fetching time for timezone '{timezone}': {str(e)}"
+
+
+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' 
+
+model = HfApiModel(
+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,
 )
 
-if __name__ == "__main__":
-    interface.launch(server_port=7860, share=False, quiet=True)
+
+# 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 = CodeAgent(
+    model=model,
+    tools=[final_answer], ## 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
+)
+
+
+GradioUI(agent).launch()