Update app.py

app.py

@@ -1,69 +1,130 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
-import requests
 import pytz
 import yaml
-from tools.final_answer import FinalAnswerTool
+import yfinance as yf
 
+from smolagents import CodeAgent, HfApiModel, load_tool, tool
+from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
+# A dummy tool that does nothing (for demonstration)
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
+def my_custom_tool(arg1: str, arg2: int) -> str:
+    """A tool that does nothing yet.
     Args:
         arg1: the first argument
         arg2: the second argument
     """
     return "What magic will you build ?"
 
+# Tool to get the current time in a given timezone.
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """Fetches the current local time in the specified timezone.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        timezone: A valid timezone string (e.g., 'America/New_York').
     """
     try:
-        # Create timezone object
         tz = pytz.timezone(timezone)
-        # Get current time in that 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 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)}"
 
-final_answer = FinalAnswerTool()
+# Tool to fetch and summarize historical stock data 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., 'AAPL').
+        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)}"
 
-# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
+# Final answer tool that should always be included.
+final_answer = FinalAnswerTool()
 
+# Define the model with appropriate configuration.
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',  # if overloaded, consider an alternative endpoint
+    custom_role_conversions=None,
 )
 
-
-# Import tool from Hub
+# Optional: Load an additional tool from the Hub (e.g., a text-to-image tool)
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
+# Load prompt templates from a YAML file.
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
     
+# Initialize the CodeAgent with the new yfinance tools along with other tools.
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, get_current_time_in_timezone, get_current_stock_price, get_stock_historical_data, my_custom_tool],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
-    name=None,
-    description=None,
+    name="TradingAgent",
+    description="An AI agent that analyzes stock data using yfinance and advises on long-term trading decisions (buy, sell, or hold).",
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+# Launch the Gradio UI to interact with the agent.
+GradioUI(agent).launch()