Delete WebSearch.py
Browse files- WebSearch.py +0 -54
WebSearch.py
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# from langchain_community.tools import DuckDuckGoSearchRun
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# search_tool = DuckDuckGoSearchRun()
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# results = search_tool.invoke("Who's the current President of France?")
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# print(results)
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from langchain.tools import Tool
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import random
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import requests
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import os
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from dotenv import load_dotenv
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load_dotenv()
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weather_API_key = os.getenv("OPENWEATHER_KEY")
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#print(f'weather_API_key: {weather_API_key}')
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def get_weather_info(location: str) -> str:
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"""Fetches weather information for a given location."""
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try:
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base_url = "https://api.openweathermap.org/data/2.5/weather"
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params = {
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"q": location,
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"appid": weather_API_key,
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"units": "metric"
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}
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response = requests.get(base_url, params=params)
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if response.status_code == 200:
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data = response.json()
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weather = data["weather"][0]["description"]
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temp = data["main"]["temp"]
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feels_like = data["main"]["feels_like"]
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humidity = data["main"]["humidity"]
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print(f"\nWeather in {location.title()}:")
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print(f"- Condition: {weather}")
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print(f"- Temperature: {temp}°C (feels like {feels_like}°C)")
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print(f"- Humidity: {humidity}%")
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data= {"condition": weather, "temp_c": temp,"humidity": humidity}
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except requests.exceptions.RequestException as e:
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print(f"Error: {e}")
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# If the API call fails, we can use dummy data
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# Dummy weather data
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weather_conditions = [
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{"condition": "Rainy", "temp_c": 15,"humidity": 30},
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{"condition": "Clear", "temp_c": 25,"humidity": 50},
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{"condition": "Windy", "temp_c": 20,"humidity": 80}
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]
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# Randomly select a weather condition
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data = random.choice(weather_conditions)
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return f"Weather in {location}: {data['condition']}, {data['temp_c']}°C"
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# Initialize the tool
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weather_info_tool = Tool(
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name="get_weather_info",
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func=get_weather_info,
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description="Fetches dummy weather information for a given location."
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)
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