Update app.py

app.py

@@ -1,50 +1,34 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
-
 from Gradio_UI import GradioUI
 
-# 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 ?"
-
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """
+    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').
+        timezone: A valid timezone string (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 get_nba_matches() -> str:
     """
     A tool that retrieves upcoming NBA matches using TheRundown API.
+    (Assumes that sport_id 4 corresponds to the NBA.)
     
     Returns:
         A human-readable string listing the upcoming NBA matches.
     """
-    import requests
-    # Replace the endpoint below with the correct NBA events endpoint if available.
-    # Here we assume sport_id 4 corresponds to NBA and that the '/events' endpoint returns the matches.
     url = "https://api.apilayer.com/therundown/sports/4/events"
     headers = {
         "apikey": "7k4hKSUeWkbigKxZiNV5CQ8RSlEd72Cj"
@@ -54,8 +38,7 @@ def get_nba_matches() -> str:
     if response.status_code == 200:
         data = response.json()
         matches = []
-        # Parse the JSON based on the API's structure.
-        # (Adjust the keys below according to the actual response format.)
+        # Adjust the parsing keys based on the actual API response.
         for event in data.get("events", []):
             start_time = event.get("start_time", "Unknown time")
             home_team = event.get("home_team", "Home team not available")
@@ -77,7 +60,7 @@ def predict_nba_match(match_info: str) -> str:
         match_info: A string containing match details in the format "TeamA vs TeamB".
     
     Returns:
-        A string with the prediction, e.g. "The prediction is that TeamA will win.".
+        A string with the prediction (e.g., "The prediction is that TeamA will win.").
     """
     import random
     teams = match_info.split(" vs ")
@@ -85,31 +68,27 @@ def predict_nba_match(match_info: str) -> str:
         prediction = random.choice(teams)
         return f"The prediction is that {prediction} will win."
     else:
-        return "Invalid match format. Please provide match details in the format 'TeamA vs TeamB'."
-
+        return "Invalid match format. Please provide details in the format 'TeamA vs TeamB'."
 
+# Instantiate the final_answer tool.
 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' 
-
+# Configure the model.
 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,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    custom_role_conversions=None,
 )
 
-
-# Import tool from 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)
-    
+
+# Initialize the agent with all necessary tools.
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, get_current_time_in_timezone, get_nba_matches, predict_nba_match],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -119,5 +98,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()