Update app.py

app.py

@@ -1,83 +1,19 @@
 import datetime
 import pytz
 import yaml
-import yfinance as yf
-
-from smolagents import CodeAgent, HfApiModel, load_tool, tool
+from smolagents import CodeAgent, HfApiModel, load_tool, tool, DuckDuckGoSearchTool
 from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
 
-# Tool to fetch the current stock price using yfinance.
-@tool
-def get_current_stock_price(symbol: str) -> str:
-    """Fetches the current stock price for the given stock symbol.
-    
-    Args:
-        symbol: The stock ticker symbol (e.g., 'AAPL').
-        
-    Returns:
-        A string reporting the current stock price.
-    """
-    try:
-        ticker = yf.Ticker(symbol)
-        price = ticker.info.get("regularMarketPrice", None)
-        if price is None:
-            return f"Could not fetch current price for {symbol}."
-        return f"The current price of {symbol} is {price:.2f} USD."
-    except Exception as e:
-        return f"Error fetching current price for {symbol}: {str(e)}"
-
-# Tool to fetch historical stock data for a given timeline using yfinance.
-@tool
-def get_stock_historical_data(symbol: str, timeline: str) -> str:
-    """Fetches historical stock data for a given symbol and timeline.
-    
-    Args:
-        symbol: The stock ticker symbol (e.g., 'TSLA').
-        timeline: The timeframe for data. Acceptable values: '1h', '1day', '1week', '1year'.
-        
-    Returns:
-        A summary string of the historical price data.
-    """
-    try:
-        ticker = yf.Ticker(symbol)
-        if timeline == "1h":
-            # For 1h data, fetch 1 day of data at 1-minute intervals and take the last 60 minutes.
-            df = ticker.history(period="1d", interval="1m").tail(60)
-        elif timeline == "1day":
-            df = ticker.history(period="1d", interval="5m")
-        elif timeline == "1week":
-            df = ticker.history(period="7d", interval="30m")
-        elif timeline == "1year":
-            df = ticker.history(period="1y", interval="1d")
-        else:
-            return f"Timeline '{timeline}' is not supported. Use '1h', '1day', '1week', or '1year'."
-        
-        if df.empty:
-            return f"No historical data available for {symbol} over timeline {timeline}."
-        
-        start_price = df['Close'].iloc[0]
-        end_price = df['Close'].iloc[-1]
-        min_price = df['Close'].min()
-        max_price = df['Close'].max()
-        summary = (
-            f"For {symbol} over {timeline}:\n"
-            f"Start Price: {start_price:.2f} USD\n"
-            f"End Price: {end_price:.2f} USD\n"
-            f"Min Price: {min_price:.2f} USD\n"
-            f"Max Price: {max_price:.2f} USD"
-        )
-        return summary
-    except Exception as e:
-        return f"Error fetching historical data for {symbol} over {timeline}: {str(e)}"
+# Instantiate the DuckDuckGo search tool provided by smolagents.
+duckduckgo_tool = DuckDuckGoSearchTool()
 
 # Final answer tool (must be included)
 final_answer = FinalAnswerTool()
 
 # Define the model configuration.
-# Here we reduce max_tokens to help keep the total token count below the limit.
 model = HfApiModel(
-    max_tokens=1000,  # Reduced from 2096 to reduce total token count
+    max_tokens=1000,  # Reduced max_tokens to help prevent token limit issues.
     temperature=0.5,
     model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
     custom_role_conversions=None,
@@ -90,16 +26,16 @@ image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_co
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
     
-# Initialize the CodeAgent with the new yfinance tools.
+# Initialize the CodeAgent with the DuckDuckGo search tool.
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, get_current_stock_price, get_stock_historical_data],
-    max_steps=3,  # Reduced steps to limit the chain-of-thought length
+    tools=[final_answer, duckduckgo_tool],
+    max_steps=3,  # Reduced steps to limit the chain-of-thought length.
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
-    name="TradingAgent",
-    description="An AI agent that analyzes stock data using yfinance and advises on long-term trading decisions.",
+    name="SearchAgent",
+    description="An AI agent that uses DuckDuckGo search to fetch information from the web.",
     prompt_templates=prompt_templates
 )