Update app.py

resetting app.py back to original setting

app.py

@@ -1,208 +1,36 @@
-# Import required libraries
 from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
-from Gradio_UI import GradioUI
-from typing import Dict, Tuple, Optional
 
-# Utility function for geocoding
-def get_coordinates(city: str) -> Optional[Tuple[float, float]]:
-    """Get coordinates for any city using Open-Meteo Geocoding API."""
-    try:
-        geocoding_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1&language=en&format=json"
-        response = requests.get(geocoding_url, timeout=10)
-        
-        if response.status_code == 200:
-            data = response.json()
-            if data.get("results"):
-                result = data["results"][0]
-                return (result["latitude"], result["longitude"])
-        return None
-    except Exception:
-        return None
-
-# Tool 1: Weather Information
-@tool
-def get_weather(city: str) -> str:
-    """Get current weather information for a specified city.
-    
-    Args:
-        city: Name of any city in the world
-    
-    Returns:
-        str: Weather information including temperature and conditions
-    """
-    try:
-        coords = get_coordinates(city)
-        if not coords:
-            return f"Sorry, couldn't find coordinates for {city}. Please check the city name and try again."
-            
-        lat, lon = coords
-        
-        api_url = "https://api.open-meteo.com/v1/forecast"
-        params = {
-            "latitude": lat,
-            "longitude": lon,
-            "current": "temperature_2m,wind_speed_10m,relative_humidity_2m",
-            "hourly": "temperature_2m,relative_humidity_2m,wind_speed_10m"
-        }
-        
-        response = requests.get(api_url, params=params, timeout=10)
-        
-        if response.status_code == 200:
-            data = response.json()
-            current = data["current"]
-            
-            weather_report = (
-                f"Current weather in {city}:\n"
-                f"🌡️ Temperature: {current['temperature_2m']}°C\n"
-                f"💨 Wind Speed: {current['wind_speed_10m']} km/h\n"
-                f"💧 Humidity: {current.get('relative_humidity_2m', 'N/A')}%\n"
-                f"\nWould you like to check local bike trails? Use get_bike_trails('{city}')"
-            )
-            
-            return weather_report
-        else:
-            return f"Error fetching weather data. Status code: {response.status_code}"
-            
-    except Exception as e:
-        return f"Error fetching weather data: {str(e)}"
-
-# Tool 2: Biking Conditions
 @tool
-def check_biking_conditions(city: str) -> str:
-    """Check if current weather conditions are good for biking in specified city.
-    
+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:
-        city: Name of any city in the world
-    
-    Returns:
-        str: Assessment of biking conditions based on weather
+        arg1: the first argument
+        arg2: the second argument
     """
-    try:
-        coords = get_coordinates(city)
-        if not coords:
-            return f"Sorry, couldn't find coordinates for {city}."
-            
-        lat, lon = coords
-        
-        api_url = "https://api.open-meteo.com/v1/forecast"
-        params = {
-            "latitude": lat,
-            "longitude": lon,
-            "current": "temperature_2m,wind_speed_10m",
-            "hourly": "temperature_2m,relative_humidity_2m,wind_speed_10m"
-        }
-        
-        response = requests.get(api_url, params=params, timeout=10)
-        
-        if response.status_code == 200:
-            data = response.json()
-            current = data["current"]
-            temp = current['temperature_2m']
-            wind_speed = current['wind_speed_10m']
-            
-            # Assess conditions for biking
-            conditions = []
-            
-            if wind_speed > 20:
-                conditions.append(f"⚠️ Wind speeds are high ({wind_speed} km/h)")
-            if temp < 10:
-                conditions.append(f"🌡️ It's cold ({temp}°C) - dress warmly")
-            elif temp > 30:
-                conditions.append(f"🌡️ It's hot ({temp}°C) - stay hydrated")
-                
-            if conditions:
-                return f"Biking conditions in {city}:\n" + "\n".join(conditions)
-            else:
-                return f"👍 Great conditions for biking in {city}! {temp}°C with moderate wind speeds."
-                
-        else:
-            return f"Error checking conditions. Status code: {response.status_code}"
-            
-    except Exception as e:
-        return f"Error checking biking conditions: {str(e)}"
+    return "What magic will you build ?"
 
-# Tool 3: Current Time in Timezone
 @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')
+        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)}"
 
-# Mock trails data for dynamic trail suggestions
-MOCK_TRAILS = {
-    "default_trails": [
-        {
-            "name": "{city} Riverside Path",
-            "difficulty": "Easy",
-            "length": "5.5 miles",
-            "description": "Scenic waterfront trail perfect for casual rides",
-            "features": ["Waterfront views", "Paved path", "Family-friendly"]
-        },
-        {
-            "name": "{city} Urban Loop",
-            "difficulty": "Moderate",
-            "length": "8.2 miles",
-            "description": "Popular city loop with diverse urban scenery",
-            "features": ["City views", "Mixed terrain", "Cultural spots"]
-        }
-    ]
-}
-
-# Tool 4: Bike Trails
-@tool
-def get_bike_trails(city: str) -> str:
-    """Get information about bike trails in a specified city.
-    
-    Args:
-        city: Name of any city in the world
-    
-    Returns:
-        str: Information about available bike trails
-    """
-    # Generate dynamic trails for any city
-    trails = []
-    for trail_template in MOCK_TRAILS["default_trails"]:
-        trail = {
-            "name": trail_template["name"].format(city=city),
-            "difficulty": trail_template["difficulty"],
-            "length": trail_template["length"],
-            "description": trail_template["description"],
-            "features": trail_template["features"]
-        }
-        trails.append(trail)
-    
-    response = f"🚲 Suggested Bike Trails in {city}:\n\n"
-    
-    for trail in trails:
-        response += (
-            f"📍 {trail['name']}\n"
-            f"   • Difficulty: {trail['difficulty']}\n"
-            f"   • Length: {trail['length']}\n"
-            f"   • Description: {trail['description']}\n"
-            f"   • Features: {', '.join(trail['features'])}\n\n"
-        )
-    
-    response += "(Note: These are suggested routes based on typical city features. Always verify local trails and conditions.)"
-    
-    return response
-
-# Initialize components
-final_answer = FinalAnswerTool()
-
-# Initialize the model
+    final_answer = FinalAnswerTool()
 model = HfApiModel(
     max_tokens=2096,
     temperature=0.5,
@@ -210,36 +38,13 @@ model = HfApiModel(
     custom_role_conversions=None,
 )
 
-# Import image generation tool from Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
-
-# Example prompts.yaml content - save this in a file named prompts.yaml
-PROMPT_TEMPLATES = """
-default: |
-    You are a helpful assistant that provides weather information and local activity suggestions.
-    When someone asks about the weather, also consider suggesting bike trails and checking biking conditions.
-    Always provide helpful context about weather conditions for outdoor activities.
-"""
-
-# Save prompts to file
-with open("prompts.yaml", 'w') as f:
-    f.write(PROMPT_TEMPLATES)
-
-# Load prompt templates
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-
-# Initialize agent with all tools
+    
+# We're creating our CodeAgent
 agent = CodeAgent(
     model=model,
-    tools=[
-        final_answer,
-        get_weather,
-        get_bike_trails,
-        check_biking_conditions,
-        get_current_time_in_timezone,
-        image_generation_tool
-    ],
+    tools=[final_answer], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -249,6 +54,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-# Launch Gradio UI
-if __name__ == "__main__":
-    GradioUI(agent).launch()
+GradioUI(agent).launch()