Update file

app.py

@@ -8,17 +8,19 @@ import os
 from huggingface_hub import InferenceClient
 from Gradio_UI import GradioUI
 from dotenv import load_dotenv
+import random  # Added for tell_joke()
+
 load_dotenv()
 
 hf_token = os.getenv("HF_TOKEN")
+alpha_vantage_api_key = os.getenv(
+    "ALPHA_VANTAGE_API_KEY")  # Load Alpha Vantage API key
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
+# Custom tool example
 
 
 @tool
-# it's import to specify the return type
 def my_custom_tool(arg1: str, arg2: int) -> str:
-    # Keep this format for the description / args / args description but feel free to modify the tool
     """A tool that does nothing yet 
     Args:
         arg1: the first argument
@@ -28,7 +30,7 @@ def my_custom_tool(arg1: str, arg2: int) -> str:
 
 
 def get_weather_report_at_coordinates(coordinates, date_time):
-    # Dummy function, returns a list of [temperature in °C, risk of rain on a scale 0-1, wave height in m]
+    # Dummy function, returns [temperature in °C, risk of rain 0-1, wave height in m]
     return [28.0, 0.35, 0.85]
 
 
@@ -41,13 +43,12 @@ def convert_location_to_coordinates(location):
 def get_weather_api(location: str, date_time: str) -> str:
     """
     Returns the weather report.
-
     Args:
         location: the name of the place that you want the weather for.
         date_time: the date and time for which you want the report.
     """
     lon, lat = convert_location_to_coordinates(location)
-    date_time = datetime.strptime(date_time)
+    date_time = datetime.datetime.strptime(date_time, "%Y-%m-%d %H:%M:%S")
     return str(get_weather_report_at_coordinates((lon, lat), date_time))
 
 
@@ -55,14 +56,10 @@ user_data = {}
 
 
 def update_personality(name: str, personality: str) -> str:
-    """Asks the user about his personality before predicting his future
-    """
+    """Asks the user about his personality before predicting his future"""
     user_data[name] = personality
-    return f"Great! Thanks {name} I ve updates your personality traits, now ask me about your future."
-
+    return f"Great! Thanks {name}, I've updated your personality traits. Now ask me about your future."
 
-'''
-I would like to use an AI model that takes the name and personality and predicts number of kids, career etc '''
 
 client = InferenceClient(model="Qwen/Qwen2.5-Coder-32B-Instruct")
 
@@ -70,28 +67,20 @@ client = InferenceClient(model="Qwen/Qwen2.5-Coder-32B-Instruct")
 @tool
 def predict_future_with_model(name: str, personality: str) -> str:
     """
-
-    Returns:
-        str: A fun and futuristic AI-generated prediction.
+    Returns a fun and futuristic AI-generated prediction.
     Args:
         name: The user's name.
         personality: A description of the user's personality traits.
-
-
     """
-
     prompt = f"""
     Given the name '{name}' and personality traits '{personality}', generate a fun, futuristic prediction for their life.
-
     Your response should include:
     - A career path
     - A major life event
     - The number of kids they might have
     - A quirky or funny twist related to their personality
-
     Keep it engaging, futuristic, and a little humorous!
     """
-
     try:
         response = client.text_generation(prompt, max_new_tokens=100)
         return f"🔮 **Future Prediction for {name}:**\n{response}"
@@ -106,42 +95,75 @@ def get_current_time_in_timezone(timezone: str) -> str:
         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)}"
 
 
-def tell_joke() -> str:
-    """stored jokes.
+@tool
+def get_financial_price(ticker: str) -> str:
     """
-    jokes = ["Why do we tell actors to 'break a leg?' Because every play has a cast.",
-             "I told my wife she should embrace her mistakes. She gave me a hug.",
-             "I'm reading a book on the history of glue. I just can't seem to put it down.",
-             "I would tell you a joke about an elevator, but it's an uplifting experience.",
-             "I told my computer I needed a break and now it won't stop sending me vacation ads.",
-             "I used to play piano by ear, but now I use my hands"]
+    Fetches the real-time price of a stock, cryptocurrency, or financial product using Alpha Vantage API.
+    Args:
+        ticker: The ticker symbol (e.g., 'AAPL' for Apple stock, 'BTCUSD' for Bitcoin/USD).
+    """
+    if not alpha_vantage_api_key:
+        return "Error: Alpha Vantage API key not found. Please set ALPHA_VANTAGE_API_KEY in your .env file."
+
+    # Determine if it's a crypto or stock based on ticker format (simplified logic)
+    is_crypto = len(ticker) > 5 and ticker.endswith(
+        ("USD", "BTC", "ETH"))  # e.g., BTCUSD, ETHBTC
+    if is_crypto:
+        url = f"https://www.alphavantage.co/query?function=CURRENCY_EXCHANGE_RATE&from_currency={ticker[:3]}&to_currency={ticker[3:]}&apikey={alpha_vantage_api_key}"
+    else:
+        url = f"https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol={ticker}&apikey={alpha_vantage_api_key}"
+
+    try:
+        response = requests.get(url)
+        data = response.json()
+
+        if is_crypto:
+            if "Realtime Currency Exchange Rate" in data:
+                price = data["Realtime Currency Exchange Rate"]["5. Exchange Rate"]
+                return f"The current price of {ticker[:3]} in {ticker[3:]} is {float(price):.2f} {ticker[3:]}."
+            else:
+                return f"Error: Could not fetch crypto price for {ticker}. Check the ticker symbol."
+        else:
+            if "Global Quote" in data and "05. price" in data["Global Quote"]:
+                price = data["Global Quote"]["05. price"]
+                return f"The current price of {ticker} is ${float(price):.2f} USD."
+            else:
+                return f"Error: Could not fetch stock price for {ticker}. Check the ticker symbol or API limits."
+
+    except Exception as e:
+        return f"Error fetching price for {ticker}: {str(e)}"
+
+
+@tool
+def tell_joke() -> str:
+    """Returns a random stored joke."""
+    jokes = [
+        "Why do we tell actors to 'break a leg?' Because every play has a cast.",
+        "I told my wife she should embrace her mistakes. She gave me a hug.",
+        "I'm reading a book on the history of glue. I just can't seem to put it down.",
+        "I would tell you a joke about an elevator, but it's an uplifting experience.",
+        "I told my computer I needed a break and now it won't stop sending me vacation ads.",
+        "I used to play piano by ear, but now I use my hands"
+    ]
     return random.choice(jokes)
 
 
 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,
-    # it is possible that this model may be overloaded
     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)
 
@@ -150,7 +172,15 @@ with open("prompts.yaml", 'r') as stream:
 
 agent = CodeAgent(
     model=model,
-    tools=[final_answer],  # add your tools here (don't remove final answer)
+    tools=[
+        my_custom_tool,
+        get_weather_api,
+        predict_future_with_model,
+        get_current_time_in_timezone,
+        get_financial_price,  # New tool added here
+        tell_joke,
+        final_answer
+    ],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -160,5 +190,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()