Update app.py

app.py

@@ -1,92 +1,154 @@
-import json
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+import datetime
 import requests
-from typing import Any, Optional
-from smolagents.tools import Tool
-
-
-class WeatherForecast(Tool):
-    name = "weather_forecast"
-    description = "Performs a weather search via open-mateo with openstreetmaps to get latlon then returns the weather results."
-    inputs = {'city': {'type': 'string', 'description': 'The name of the city required for weather gathering.'}}
-    output_type = "string"
-
-    def __init__(self, max_results=10, **kwargs):
-        super().__init__()
-
-    def forward(self, city) -> str:
-        results = self.get_weather_forecast(city)
-        if len(results) == 0:
-            raise Exception("No results found! Try a less restrictive/shorter query.")
-        postprocessed_results = [f"[{result['title']}]({result['href']})\n{result['body']}" for result in results]
-        return "## Search Results\n\n" + "\n\n".join(postprocessed_results)
-
-
-    def get_weather_forecast(self, city_name: str) -> str:
-        """A tool that fetches the current weather/temperature of a specified city.
-        Args:
-            city_name: A string representing a valid city (e.g., 'Bangalore').
-        """
-
-        latitude, longitude = self.get_coordinates(city_name)
-        
-        base_url = "https://api.open-meteo.com/v1/forecast"  # No API key needed for this version
-        params = {
-            "latitude": latitude,
-            "longitude": longitude,
-            "hourly": "temperature_2m,precipitation,wind_speed",
-            "daily": "temperature_2m_max,temperature_2m_min,precipitation_sum",
-            "forecast_days": 7,
-            "timezone": "auto"
-        }
-
-        try:
-            response = requests.get(base_url, params=params) # No headers needed
-            response.raise_for_status()
-            weatherJSON = response.json()
-            cityName = weatherJSON.get('location').get('name')
-            cityTemp = weatherJSON.get('hourly').get('temperature_2m')
-            averageTemp = round(mean(cityTemp), 1)
-            hourlyunits = weatherJSON.get('hourly_units').get('temperature_2m')
-            return weather_data
-            return f"The current Temperature in {cityName} is {averageTemp}{hourlyunits}!"
-        except requests.exceptions.RequestException as e:
-            print(f"Error fetching weather data: {e}")
-            return None
-        except json.JSONDecodeError as e:
-            print(f"Error decoding JSON response: {e}")
-            return None
-
-    def get_coordinates(self, city_name: str) -> [float, float]:
-        """Gets coordinates using OpenStreetMap's Nominatim (no API key, but with limitations)."""
-
-        # This approach is less reliable and might have rate limits.
-        # It's suitable for basic use cases but not for production.
-
-        geocoding_url = "https://nominatim.openstreetmap.org/search" # No API Key needed
-        params = {
-            "q": city_name,
-            "format": "json",
-            "limit": 3
-        }
-
-        try:
-            response = requests.get(geocoding_url, params=params)
-            response.raise_for_status()
-            geocoding_data = response.json()
-            print(geocoding_data)
-
-            if geocoding_data:  # Check if any results were found
-                latitude = float(geocoding_data[0]["lat"])
-                longitude = float(geocoding_data[0]["lon"])
-                return latitude, longitude
-            else:
-                print(f"Could not find coordinates for {city_name}")
-                return None, None
-
-        except requests.exceptions.RequestException as e:
-            print(f"Error during geocoding: {e}")
-            return None, None
-        except (KeyError, IndexError, ValueError) as e:  # Handle more potential errors
-            print(f"Error parsing geocoding response: {e}")
+import pytz
+import yaml
+from tools.final_answer import FinalAnswerTool
+from tools.weather import WeatherForecast
+
+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.
+    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"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_weather_forecast(city_name: str) -> str:
+    """A tool that fetches the current weather/temperature of a specified city.
+    Args:
+        city_name: A string representing a valid city (e.g., 'Bangalore').
+    """
+
+    latitude, longitude = get_coordinates_no_api_key(city_name)
+    
+    base_url = "https://api.open-meteo.com/v1/forecast"  # No API key needed for this version
+    params = {
+        "latitude": latitude,
+        "longitude": longitude,
+        "hourly": "temperature_2m,precipitation,wind_speed",
+        "daily": "temperature_2m_max,temperature_2m_min,precipitation_sum",
+        "forecast_days": 7,
+        "timezone": "auto"
+    }
+
+    try:
+        response = requests.get(base_url, params=params) # No headers needed
+        response.raise_for_status()
+        weatherJSON = response.json()
+        cityName = weatherJSON.get('location').get('name')
+        cityTemp = weatherJSON.get('hourly').get('temperature_2m')
+        averageTemp = round(mean(cityTemp), 1)
+        hourlyunits = weatherJSON.get('hourly_units').get('temperature_2m')
+        return weather_data
+        return f"The current Temperature in {cityName} is {averageTemp}{hourlyunits}!"
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching weather data: {e}")
+        return None
+    except json.JSONDecodeError as e:
+        print(f"Error decoding JSON response: {e}")
+        return None
+
+def get_coordinates_no_api_key(city_name: str) -> [float, float]:
+    """Gets coordinates using OpenStreetMap's Nominatim (no API key, but with limitations)."""
+
+    # This approach is less reliable and might have rate limits.
+    # It's suitable for basic use cases but not for production.
+
+    geocoding_url = "https://nominatim.openstreetmap.org/search" # No API Key needed
+    params = {
+        "q": city_name,
+        "format": "json",
+        "limit": 1
+    }
+
+    try:
+        response = requests.get(geocoding_url, params=params)
+        response.raise_for_status()
+        geocoding_data = response.json()
+
+        if geocoding_data:  # Check if any results were found
+            latitude = float(geocoding_data[0]["lat"])
+            longitude = float(geocoding_data[0]["lon"])
+            return latitude, longitude
+        else:
+            print(f"Could not find coordinates for {city_name}")
             return None, None
 
+    except requests.exceptions.RequestException as e:
+        print(f"Error during geocoding: {e}")
+        return None, None
+    except (KeyError, IndexError, ValueError) as e:  # Handle more potential errors
+        print(f"Error parsing geocoding response: {e}")
+        return None, None
+
+# def get_weather(city: str) -> str:
+#     """A tool that fetches the current weather of a specified city.
+#     Args:
+#         city: A string representing a valid city (e.g., 'Bangalore').
+#     """
+#     try:
+#         response =  requests.get('https://api.open-meteo.com/v1/forecast?latitude=52.52&longitude=13.41&hourly=temperature_2m&models=bom_access_global')
+#         weatherJSON = response.json()
+#         cityName = weatherJSON.get('location').get('name')
+#         cityTemp = weatherJSON.get('current').get('temp_c')
+#         cityCondition = weatherJSON.get('current').get('condition').get('text')
+#         return f"The current Temperature in {cityName} is {cityTemp} and conditions are {cityCondition}"
+#     except Exception as e:
+#         return f"Error fetching weather conditions for {city}"
+
+final_answer = FinalAnswerTool()
+weather = WeatherForecast()
+
+# 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,
+)
+
+
+# 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=[weather, 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()