Create app1.py

app1.py

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+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
+
+# Tool: Fetch current time in a given timezone
+@tool
+def get_current_time_in_timezone(timezone: str) -> str:
+    """
+    Fetches the current local time in a specified timezone.
+
+    Args:
+        timezone (str): The timezone string (e.g., 'America/New_York').
+    
+    Returns:
+        str: The current local time in the specified timezone.
+    """
+    try:
+        tz = pytz.timezone(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: Fetch real-time weather for a given location
+@tool
+def get_weather(city: str) -> str:
+    """
+    Fetches the current weather for a given city.
+
+    Args:
+        city (str): The name of the city.
+    
+    Returns:
+        str: Weather description and temperature.
+    """
+    api_url = f"https://wttr.in/{city}?format=%C+%t"
+    response = requests.get(api_url)
+    if response.status_code == 200:
+        return response.text
+    return "Unable to retrieve weather information."
+
+# Tool: Fetch currency exchange rate
+@tool
+def get_exchange_rate(base_currency: str, target_currency: str) -> str:
+    """
+    Fetches the exchange rate between two currencies.
+
+    Args:
+        base_currency (str): The currency to convert from.
+        target_currency (str): The currency to convert to.
+    
+    Returns:
+        str: Exchange rate information.
+    """
+    url = f"https://api.exchangerate-api.com/v4/latest/{base_currency}"
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()
+        rate = data['rates'].get(target_currency, "N/A")
+        return f"1 {base_currency} = {rate} {target_currency}"
+    return "Exchange rate information not available."
+
+# Tool: Fetch Wikipedia summary
+@tool
+def get_wikipedia_summary(query: str) -> str:
+    """
+    Fetches a short summary from Wikipedia.
+
+    Args:
+        query (str): The topic to search on Wikipedia.
+    
+    Returns:
+        str: Summary of the topic.
+    """
+    url = f"https://en.wikipedia.org/api/rest_v1/page/summary/{query}"
+    response = requests.get(url)
+    if response.status_code == 200:
+        return response.json().get("extract", "No summary available.")
+    return "Wikipedia summary not found."
+
+# Tool: Fetch latest news headlines
+@tool
+def get_latest_news() -> str:
+    """
+    Fetches the latest news headlines.
+    
+    Returns:
+        str: Top 5 latest news headlines.
+    """
+    url = "https://newsapi.org/v2/top-headlines?country=us&apiKey=YOUR_NEWSAPI_KEY"
+    response = requests.get(url)
+    if response.status_code == 200:
+        articles = response.json().get("articles", [])[:5]
+        return "\n".join([f"{i+1}. {article['title']}" for i, article in enumerate(articles)])
+    return "Unable to retrieve news."
+
+# Tool: Fetch stock price for a given company symbol
+@tool
+def get_stock_price(symbol: str) -> str:
+    """
+    Fetches the latest stock price for a given company symbol.
+
+    Args:
+        symbol (str): The stock ticker symbol.
+    
+    Returns:
+        str: The latest stock price.
+    """
+    url = f"https://finnhub.io/api/v1/quote?symbol={symbol}&token=YOUR_FINNHUB_API_KEY"
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()
+        return f"Stock price of {symbol}: ${data.get('c', 'N/A')}"
+    return "Stock information not available."
+
+final_answer = FinalAnswerTool()
+
+# Hugging Face model setup
+model = HfApiModel(
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    custom_role_conversions=None,
+)
+
+# Load image generation tool from Hugging Face
+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)
+    
+# Creating the AI agent
+agent = CodeAgent(
+    model=model,
+    tools=[
+        final_answer,
+        get_current_time_in_timezone,
+        get_weather,
+        get_exchange_rate,
+        get_wikipedia_summary,
+        get_latest_news,
+        get_stock_price,
+        image_generation_tool,
+    ],
+    max_steps=6,
+    verbosity_level=1,
+    grammar=None,
+    planning_interval=None,
+    name=None,
+    description=None,
+    prompt_templates=prompt_templates
+)
+
+# Launch Gradio UI for interaction
+GradioUI(agent).launch()