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Update app.py
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app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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#
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#Keep this format for the description / args / args description but feel free to modify the tool
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"""A tool that does nothing yet
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Args:
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arg2: the second argument
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"""
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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@@ -33,37 +71,91 @@ def get_current_time_in_timezone(timezone: str) -> str:
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=
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description=
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import pytz
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import yaml
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import json
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Weather API Tool
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def get_weather(location: str) -> str:
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"""A tool that fetches current weather for a specified location.
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Args:
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location: A string representing a city or location (e.g., 'New York', 'London, UK').
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"""
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try:
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# Using open-meteo API which doesn't require API key
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# First get coordinates
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geocoding_url = f"https://geocoding-api.open-meteo.com/v1/search?name={location}&count=1"
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geocoding_response = requests.get(geocoding_url)
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geocoding_data = geocoding_response.json()
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if not geocoding_data.get("results"):
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return f"Could not find location: {location}"
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lat = geocoding_data["results"][0]["latitude"]
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lon = geocoding_data["results"][0]["longitude"]
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city_name = geocoding_data["results"][0]["name"]
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# Now get weather
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weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}¤t=temperature_2m,wind_speed_10m,relative_humidity_2m,precipitation,weather_code"
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weather_response = requests.get(weather_url)
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weather_data = weather_response.json()
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current = weather_data["current"]
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temperature = current["temperature_2m"]
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wind_speed = current["wind_speed_10m"]
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humidity = current["relative_humidity_2m"]
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precipitation = current["precipitation"]
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# Weather code to text mapping
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weather_codes = {
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0: "Clear sky",
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1: "Mainly clear", 2: "Partly cloudy", 3: "Overcast",
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45: "Fog", 48: "Depositing rime fog",
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51: "Light drizzle", 53: "Moderate drizzle", 55: "Dense drizzle",
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61: "Slight rain", 63: "Moderate rain", 65: "Heavy rain",
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71: "Slight snow fall", 73: "Moderate snow fall", 75: "Heavy snow fall",
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80: "Slight rain showers", 81: "Moderate rain showers", 82: "Violent rain showers",
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95: "Thunderstorm", 96: "Thunderstorm with slight hail", 99: "Thunderstorm with heavy hail"
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}
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weather_description = weather_codes.get(current["weather_code"], "Unknown")
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return f"Current weather in {city_name}: {weather_description}, {temperature}°C, {wind_speed}km/h wind, {humidity}% humidity, {precipitation}mm precipitation"
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except Exception as e:
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return f"Error fetching weather for '{location}': {str(e)}"
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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def currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
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"""A tool that converts an amount from one currency to another using latest exchange rates.
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Args:
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amount: The amount to convert
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from_currency: The source currency code (e.g., 'USD')
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to_currency: The target currency code (e.g., 'EUR')
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"""
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try:
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# Using ExchangeRate API
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url = f"https://open.er-api.com/v6/latest/{from_currency.upper()}"
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response = requests.get(url)
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data = response.json()
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if data["result"] != "success":
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return f"Error: Could not fetch exchange rates for {from_currency}"
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if to_currency.upper() not in data["rates"]:
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return f"Error: Target currency {to_currency} not found"
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rate = data["rates"][to_currency.upper()]
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converted_amount = amount * rate
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return f"{amount} {from_currency.upper()} = {converted_amount:.2f} {to_currency.upper()} (Rate: 1 {from_currency.upper()} = {rate} {to_currency.upper()})"
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except Exception as e:
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return f"Error converting currency: {str(e)}"
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def stock_price_lookup(ticker: str) -> str:
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"""A tool that looks up the latest stock price for a given ticker symbol.
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Args:
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ticker: The stock ticker symbol (e.g., 'AAPL' for Apple Inc.)
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"""
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try:
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# Using Alpha Vantage API (free tier, limited to 25 requests per day)
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# Note: In a production environment, you'd want to use a proper API key
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url = f"https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol={ticker}&apikey=demo"
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response = requests.get(url)
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data = response.json()
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if "Global Quote" not in data or not data["Global Quote"]:
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return f"Could not find data for ticker: {ticker}"
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quote = data["Global Quote"]
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price = quote.get("05. price", "N/A")
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change = quote.get("09. change", "N/A")
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change_percent = quote.get("10. change percent", "N/A")
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return f"{ticker} current price: ${price} (Change: {change} / {change_percent})"
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except Exception as e:
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return f"Error looking up stock price for '{ticker}': {str(e)}"
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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search_tool = DuckDuckGoSearchTool()
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[
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final_answer,
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get_current_time_in_timezone,
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get_weather,
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currency_converter,
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stock_price_lookup,
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image_generation_tool,
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search_tool
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],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name="DataAssistant",
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description="A helpful assistant that can search the web, check time zones, weather, financial data, and generate images.",
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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