Update app.py

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
 import requests
 import pytz
@@ -6,91 +6,84 @@ import yaml
 from tools.final_answer import FinalAnswerTool
 from langchain.text_splitter import CharacterTextSplitter
 from typing import List
+
 from Gradio_UI import GradioUI
 
+# Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def web_search(query: str) -> str:
-    """Searches DuckDuckGo and returns top results as a string.
-
+def web_search(query:str) -> str:
+    """Allows search through DuckDuckGo 
     Args:
-        query (str): The search query.
-
-    Returns:
-        str: The search results concatenated into a string.
+        query: what you want to search
     """
     search_tool = DuckDuckGoSearchTool()
-    results = search_tool(query)
+    results = search_tool(query)  
     return "\n".join(results)
 
 @tool
-def visit_webpage(url: str) -> str:
-    """Fetches the content of a web page.
-
+def get_current_time_in_timezone(timezone: str) -> str:
+    """A tool that fetches the current local time in a specified timezone.
     Args:
-        url (str): The URL to visit.
-
-    Returns:
-        str: The raw text content of the page (first 5000 characters).
+        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)}"
+
+@tool
+def visit_webpage(url: str) -> str:
+    """Fetches raw HTML content of a web page.
+    Args:
+        url: The url of the webpage"""
     try:
         response = requests.get(url, timeout=5)
-        return response.text[:5000]
+        return response.text[:5000]  # limit output length
     except Exception as e:
         return f"[ERROR fetching {url}]: {str(e)}"
 
 @tool
 def text_splitter(text: str) -> List[str]:
-    """Splits text into chunks using langchain's CharacterTextSplitter.
-
+    """A tool that splits text by character.
     Args:
-        text (str): The input text to split.
-
-    Returns:
-        List[str]: A list of text chunks.
+        text: A string of text to be split.
     """
-    splitter = CharacterTextSplitter(chunk_size=450, chunk_overlap=10)
-    return splitter.split_text(text)
+    c_splitter = CharacterTextSplitter(
+        chunk_size=450,
+        chunk_overlap=10
+    )
+    split_text = c_splitter.split_text(text)
+    return split_text
+    # 
+    
 
-@tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """Gets the current time in a specified timezone.
 
-    Args:
-        timezone (str): A timezone string, like 'America/New_York'.
-
-    Returns:
-        str: The local time formatted as a string.
-    """
-    try:
-        tz = pytz.timezone(timezone)
-        return datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
-    except Exception as e:
-        return f"Error fetching time: {e}"
+final_answer = FinalAnswerTool()
 
-# Load prompt templates
-with open("prompts.yaml", "r") as stream:
-    prompt_templates = yaml.safe_load(stream)
+# 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' 
 
-# Define the model
 model = HfApiModel(
-    max_tokens=2096,
-    temperature=0.5,
-    model_id="meta-llama/Llama-3.2-3B-Instruct",
-    last_input_token_count=0,
-    last_output_token_count=0,
-    custom_role_conversions=None,
+max_tokens=2096,
+temperature=0.5,
+model_id='meta-llama/Llama-3.2-3B-Instruct',    #'Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
+custom_role_conversions=None,
 )
 
-# Load the final answer tool
-final_answer = FinalAnswerTool()
 
-# Optional additional tool
+# Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-# Create the agent
+with open("prompts.yaml", 'r') as stream:
+    prompt_templates = yaml.safe_load(stream)
+    
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, web_search, visit_webpage, text_splitter, image_generation_tool],
+    tools=[final_answer, web_search, text_splitter, image_generation_tool],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -100,5 +93,5 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-# Launch the UI
-GradioUI(agent).launch()
+
+GradioUI(agent).launch()