Update app.py

app.py

@@ -1,100 +1,83 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfAgent, load_tool, tool
 import datetime
-import requests
 import pytz
 import yaml
-from tools.final_answer import FinalAnswerTool
-#These are waether specific imports
 import openmeteo_requests
 import pandas as pd
 import requests_cache
 from retry_requests import retry
-
+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 !
+
+# Weather tool
 @tool
-def houry_templature(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 
+def hourly_temperature(latitude: float, longitude: float) -> str:
+    """Fetch hourly temperature data using Open-Meteo API.
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        latitude: Latitude of the location
+        longitude: Longitude of the location
     """
-    # Setup the Open-Meteo API client with cache and retry on error
-    cache_session = requests_cache.CachedSession('.cache', expire_after = 3600)
-    retry_session = retry(cache_session, retries = 5, backoff_factor = 0.2)
-    openmeteo = openmeteo_requests.Client(session = retry_session)
-    
-    # Make sure all required weather variables are listed here
-    # The order of variables in hourly or daily is important to assign them correctly below
-    url = "https://api.open-meteo.com/v1/forecast"
-    params = {
-    	"latitude": arg1,
-    	"longitude": arg2,
-    	"hourly": "temperature_2m",
-    }
-    responses = openmeteo.weather_api(url, params=params)
-
-    hourly = response.Hourly()
-    hourly_temperature_2m = hourly.Variables(0).ValuesAsNumpy()
-
-    hourly_data["temperature_2m"] = hourly_temperature_2m
-    
-    
-    return hourly_data["temperature_2m"]
+    try:
+        cache_session = requests_cache.CachedSession('.cache', expire_after=3600)
+        retry_session = retry(cache_session, retries=5, backoff_factor=0.2)
+        openmeteo = openmeteo_requests.Client(session=retry_session)
+
+        url = "https://api.open-meteo.com/v1/forecast"
+        params = {
+            "latitude": latitude,
+            "longitude": longitude,
+            "hourly": "temperature_2m",
+        }
+
+        responses = openmeteo.weather_api(url, params=params)
+        response = responses[0]  # Get first response object
+
+        hourly = response.Hourly()
+        hourly_temperature_2m = hourly.Variables(0).ValuesAsNumpy()
+
+        # Prepare readable output
+        temps = hourly_temperature_2m[:5]  # Show first 5 hourly values
+        return f"Next hours' temperatures (°C): {temps.tolist()}"
+
+    except Exception as e:
+        return f"Error fetching weather: {str(e)}"
 
+
+# Time tool
 @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').
-    """
+    """Fetch the current local time in a specified timezone."""
     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)}"
+        return f"Error fetching time: {str(e)}"
 
 
+# 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' 
-
-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,
-)
-
+# Initialize model (new API)
+model = HfAgent("Qwen/Qwen2.5-Coder-32B-Instruct")
 
-# Import tool from Hub
+# Optional: load text-to-image tool from Hugging Face Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
+# Load custom prompts if you have them
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# Define your agent
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, hourly_temperature, get_current_time_in_timezone],
     max_steps=6,
     verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
     prompt_templates=prompt_templates
 )
 
-
-houry_templature(32.9,15,7)
-get_current_time_in_timezone('Africa/Kigali')
-
-
-
-GradioUI(agent).launch()
+# Run Gradio UI
+if __name__ == "__main__":
+    GradioUI(agent).launch()