Update app.py

app.py

@@ -5,17 +5,19 @@ import yaml
 from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
 
-# Define tool for fetching current time in a timezone
+# Define the tool correctly using @tool decorator
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """
     Fetches the current local time in a specified timezone.
 
-    Args:
-        timezone (str): A valid timezone string (e.g., 'Asia/Kolkata', 'America/New_York').
+    Parameters:
+        timezone (str): The name of the timezone in "Continent/City" format. 
+                        Example: "Asia/Kolkata", "America/New_York".
 
     Returns:
-        str: The current time in the given timezone or an error message.
+        str: The current time in the given timezone in 'YYYY-MM-DD HH:MM:SS' format, 
+             or an error message if the timezone is invalid.
     """
     try:
         tz = pytz.timezone(timezone)
@@ -24,58 +26,34 @@ def get_current_time_in_timezone(timezone: str) -> str:
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
-
-# Define tool for AI research paper search
-@tool
-def fetch_ai_research_papers(query: str) -> str:
-    """Fetches recent AI research papers based on the query."""
-    search_tool = DuckDuckGoSearchTool()
-    results = search_tool.search(f"AI research paper {query}")
-    return f"Top AI research papers on {query}: {results}"
-
-# Define tool for AI news updates
-@tool
-def fetch_ai_news() -> str:
-    """Fetches the latest AI news updates."""
-    search_tool = DuckDuckGoSearchTool()
-    results = search_tool.search("latest AI news")
-    return f"Latest AI news updates: {results}"
-
 # Load final answer tool
 final_answer = FinalAnswerTool()
 
-# Define the model for human-like responses
+# Define the model
 model = HfApiModel(
     max_tokens=2096,
-    temperature=0.7,  # Increased temperature for more human-like responses
+    temperature=0.5,
     model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
     custom_role_conversions=None,
 )
 
-# Load text-to-image generation tool
+# Import an image generation tool from Hugging Face Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
 # Load prompt templates
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
 
-# Create the AI Assistant Agent
+# Create the Agent with properly defined tools
 agent = CodeAgent(
     model=model,
-    tools=[
-        final_answer,
-        DuckDuckGoSearchTool(),
-        get_current_time_in_timezone,
-        fetch_ai_research_papers,
-        fetch_ai_news,
-        image_generation_tool
-    ],
+    tools=[final_answer, DuckDuckGoSearchTool(), get_current_time_in_timezone, image_generation_tool],  
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
-    name="AI Research Assistant",
-    description="An AI assistant capable of answering queries, fetching AI research, news, generating images, and interacting naturally.",
+    name="My First SmolAgent",
+    description="An AI assistant capable of searching, fetching time, and generating images.",
     prompt_templates=prompt_templates
 )