Added my format_country_info tool in app.py, modified tools list used by the agent. Added tabulate in requirements.txt

app.py

@@ -1,22 +1,47 @@
-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
+
+import pandas
+
+from typing import List
+
 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
-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 format_country_info(
+    population: int, languages: List[str], religions: List[str]
+) -> str:
+    """A tool that takes as argument the most recent info about a country and most specifically
+    the population number, the officially languages (accompanied and sorted by their respective percentage) used
+    as well as the common religions (accompanied and sorted by their respective percentage) found in the country.
+    It returns the same info formatted in markdown.
+    For any info field that is not available, its value is considered as N/A
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        population: the country's population number according to most recent info
+        languages: the languages used in the country
+        religions: the religions found in the country
+
     """
-    return "What magic will you build ?"
+    summary_info = {
+        "Population": population if population > 0 else "N/A",
+        "Languages": "<br>".join(
+            [f"- {lang}" for lang in languages] if len(languages) > 1 else languages
+        )
+        or "N/A",
+        "Religions": "<br>".join(
+            [f"- {rel}" for rel in religions] if len(religions) > 1 else religions
+        )
+        or "N/A",
+    }
+
+    df = pandas.DataFrame(summary_info, index=[1])
+    return df.to_markdown(index=False)
+
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -36,30 +61,34 @@ def get_current_time_in_timezone(timezone: str) -> str:
 
 final_answer = FinalAnswerTool()
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-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)
 
-with open("prompts.yaml", 'r') as stream:
+with open("prompts.yaml", "r") as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[
+        final_answer,
+        DuckDuckGoSearchTool(),
+        format_country_info,
+    ],  ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates
+    prompt_templates=prompt_templates,
 )
 
 
-GradioUI(agent).launch()
+GradioUI(agent).launch()

requirements.txt

@@ -3,3 +3,4 @@ smolagents
 requests
 duckduckgo_search
 pandas
+tabulate