Update app.py

app.py

@@ -13,56 +13,13 @@ from langgraph.prebuilt import create_react_agent
 @tool
 def get_lat_lng(location_description: str) -> dict[str, float]:
     """Get the latitude and longitude of a location."""
-    if os.getenv("GEO_API_KEY") is None:
-        return {"lat": 51.1, "lng": -0.1}  # London coordinates as dummy response
-
-    params = {
-        "q": location_description,
-        "api_key": os.getenv("GEO_API_KEY"),
-    }
-    
-    r = requests.get("https://geocode.maps.co/search", params=params)
-    r.raise_for_status()
-    data = r.json()
-    
-    if data:
-        return {"lat": float(data[0]["lat"]), "lng": float(data[0]["lon"])}
-    else:
-        raise ValueError("Could not find the location")
+    return {"lat": 51.1, "lng": -0.1}  # London coordinates as dummy response
 
 @tool
 def get_weather(lat: float, lng: float) -> dict[str, str]:
     """Get the weather at a location."""
-    if not os.getenv("WEATHER_API_KEY"):
-        return {"temperature": "21°C", "description": "Sunny"}  # Dummy response
+    return {"temperature": "21°C", "description": "Sunny"}  # Dummy response
         
-    params = {
-        "apikey": os.getenv("WEATHER_API_KEY"),
-        "location": f"{lat},{lng}",
-        "units": "metric",
-    }
-    
-    r = requests.get("https://api.tomorrow.io/v4/weather/realtime", params=params)
-    r.raise_for_status()
-    data = r.json()
-    
-    values = data["data"]["values"]
-    weather_codes = {
-        1000: "Clear, Sunny", 1100: "Mostly Clear", 1101: "Partly Cloudy",
-        1102: "Mostly Cloudy", 1001: "Cloudy", 2000: "Fog",
-        2100: "Light Fog", 4000: "Drizzle", 4001: "Rain",
-        4200: "Light Rain", 4201: "Heavy Rain", 5000: "Snow",
-        5001: "Flurries", 5100: "Light Snow", 5101: "Heavy Snow",
-        6000: "Freezing Drizzle", 6001: "Freezing Rain",
-        6200: "Light Freezing Rain", 6201: "Heavy Freezing Rain",
-        7000: "Ice Pellets", 7101: "Heavy Ice Pellets",
-        7102: "Light Ice Pellets", 8000: "Thunderstorm"
-    }
-    
-    return {
-        "temperature": f'{values["temperatureApparent"]:0.0f}°C',
-        "description": weather_codes.get(values["weatherCode"], "Unknown")
-    }
 
 def stream_from_agent(message: str, history: List[Dict[str, str]]) -> gr.ChatMessage:
     """Process messages through the LangChain agent with visible reasoning."""