Update app.py

app.py

@@ -1,23 +1,95 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+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
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
+# Search Tool using DuckDuckGo
+search_tool = DuckDuckGoSearchTool()
+
+# Text Summarization Tool
+@tool
+def summarize_text(text: str) -> str:
+    """Summarizes a given text into a concise version.
+    Args:
+        text: The text to be summarized.
+    """
+    try:
+        api_url = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
+        headers = {"Authorization": "Bearer YOUR_HUGGINGFACE_API_KEY"}
+        response = requests.post(api_url, headers=headers, json={"inputs": text})
+        summary = response.json()[0]['summary_text']
+        return summary
+    except Exception as e:
+        return f"Error in summarization: {str(e)}"
+
+# Weather Information Tool
+@tool
+def get_weather(city: str) -> str:
+    """Fetches current weather information for a given city.
+    Args:
+        city: Name of the city.
+    """
+    try:
+        api_key = "YOUR_OPENWEATHERMAP_API_KEY"
+        url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric"
+        response = requests.get(url).json()
+        temp = response["main"]["temp"]
+        weather_desc = response["weather"][0]["description"]
+        return f"The current temperature in {city} is {temp}°C with {weather_desc}."
+    except Exception as e:
+        return f"Error fetching weather data: {str(e)}"
+
+# Currency Conversion Tool
+@tool
+def convert_currency(amount: float, from_currency: str, to_currency: str) -> str:
+    """Converts currency based on real-time exchange rates.
+    Args:
+        amount: The amount to be converted.
+        from_currency: The source currency (e.g., 'USD').
+        to_currency: The target currency (e.g., 'EUR').
+    """
+    try:
+        api_url = f"https://api.exchangerate-api.com/v4/latest/{from_currency}"
+        response = requests.get(api_url).json()
+        rate = response["rates"].get(to_currency, None)
+        if rate:
+            converted_amount = amount * rate
+            return f"{amount} {from_currency} is approximately {converted_amount:.2f} {to_currency}."
+        else:
+            return f"Conversion rate for {to_currency} not found."
+    except Exception as e:
+        return f"Error in currency conversion: {str(e)}"
+
+# Fun Fact Generator Tool
 @tool
-def my_cutom_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 get_fun_fact() -> str:
+    """Fetches a random fun fact."""
+    try:
+        response = requests.get("https://uselessfacts.jsph.pl/random.json?language=en").json()
+        return response["text"]
+    except Exception as e:
+        return f"Error fetching fun fact: {str(e)}"
+
+# Text Sentiment Analyzer
+@tool
+def analyze_sentiment(text: str) -> str:
+    """Analyzes the sentiment of a given text (positive, neutral, or negative).
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        text: The text to be analyzed.
     """
-    return "What magic will you build ?"
+    try:
+        api_url = "https://api-inference.huggingface.co/models/cardiffnlp/twitter-roberta-base-sentiment"
+        headers = {"Authorization": "Bearer YOUR_HUGGINGFACE_API_KEY"}
+        response = requests.post(api_url, headers=headers, json={"inputs": text})
+        sentiment = response.json()[0][0]['label']
+        return f"The sentiment of the given text is: {sentiment}"
+    except Exception as e:
+        return f"Error in sentiment analysis: {str(e)}"
 
+# Time Zone Tool
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
@@ -25,33 +97,30 @@ 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)}"
 
-
 final_answer = FinalAnswerTool()
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',
+    custom_role_conversions=None,
 )
 
-
-# Import tool from Hub
+# Import tool from Hugging Face Hub
 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)
-    
+
+# Define Agent with All Tools
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, search_tool, image_generation_tool, summarize_text, get_weather, convert_currency, get_fun_fact, analyze_sentiment, get_current_time_in_timezone],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -61,5 +130,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()