Update app.py

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
@@ -7,46 +7,113 @@ 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 !
+# Tool: Calculates the RSI for Bitcoin using historical price data.
 @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 calculateRSI(period: int = 14) -> int:
+    """
+    A tool that calculates the current RSI value for Bitcoin.
+    Args:
+        period: Number of periods to use for RSI calculation (default is 14).
+    Returns:
+        The current RSI value as an integer.
+    """
+    try:
+        # Fetch historical BTC price data for the past 30 days from CoinGecko
+        url = "https://api.coingecko.com/api/v3/coins/bitcoin/market_chart"
+        params = {"vs_currency": "usd", "days": "30"}
+        response = requests.get(url, params=params)
+        data = response.json()
+        prices = [price_point[1] for price_point in data["prices"]]
+        
+        if len(prices) < period + 1:
+            raise ValueError("Not enough data to calculate RSI.")
+        
+        # Calculate price changes (deltas)
+        deltas = [prices[i+1] - prices[i] for i in range(len(prices) - 1)]
+        gains = [delta if delta > 0 else 0 for delta in deltas]
+        losses = [-delta if delta < 0 else 0 for delta in deltas]
+        
+        # Initial average gain and loss
+        avg_gain = sum(gains[:period]) / period
+        avg_loss = sum(losses[:period]) / period
+        
+        # Smooth averages over the remaining data
+        for i in range(period, len(gains)):
+            gain = gains[i]
+            loss = losses[i]
+            avg_gain = (avg_gain * (period - 1) + gain) / period
+            avg_loss = (avg_loss * (period - 1) + loss) / period
+        
+        if avg_loss == 0:
+            rsi = 100
+        else:
+            rs = avg_gain / avg_loss
+            rsi = 100 - (100 / (1 + rs))
+        
+        return int(rsi)
+    except Exception as e:
+        # Returning a negative value signals an error in this example.
+        return -1
+
+# Tool: Provides a trading signal based on the calculated RSI.
+@tool
+def rsi_signal(period: int = 14) -> str:
+    """
+    A tool that calculates the current RSI for Bitcoin and returns a trading recommendation.
+    Args:
+        period: The RSI period to use (default 14).
+    Returns:
+        A string with the RSI value and a recommendation:
+            - "Buy" if RSI < 30 (oversold)
+            - "Sell" if RSI > 70 (overbought)
+            - "Hold" otherwise.
+    """
+    rsi_value = calculateRSI(period)
+    if rsi_value == -1:
+        return "Error calculating RSI. Please try again later."
+    
+    if rsi_value < 30:
+        signal = "Buy"
+    elif rsi_value > 70:
+        signal = "Sell"
+    else:
+        signal = "Hold"
+    
+    return f"Current RSI: {rsi_value}. Recommendation: {signal}."
+
+@tool
+def my_custom_tool(arg1: str, arg2: int) -> str:
+    """
+    A tool that does nothing yet.
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        arg1: the first argument.
+        arg2: the second argument.
     """
     return "What magic will you build ?"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """
+    A tool that fetches the current local time in a specified timezone.
     Args:
         timezone: A string representing a valid timezone (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)}"
 
-
 final_answer = FinalAnswerTool()
 
-# 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' 
-
 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',
+    custom_role_conversions=None,
 )
 
-
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
@@ -55,7 +122,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, calculateRSI, rsi_signal, my_custom_tool, get_current_time_in_timezone],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -65,5 +132,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()