Update app.py

replaced everything

app.py

@@ -1,45 +1,48 @@
-from smolagents import CodeAgent, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
+from Gradio_UI import GradioUI
 
+# -------------------------------
+# 1️⃣ Initialize models
+# -------------------------------
 
-from Gradio_UI import GradioUI
+# Plain Hugging Face search model
+search_model = HfApiModel(
+    "Intelligent-Internet/II-Search-4B",
+    return_text=True,
+    streaming=False  # ensure it returns a string
+)
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
-#@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 
-#    Args:
-#        arg1: the first argument
-#        arg2: the second argument
-#    """
-#    return "What magic will you build ?"
+# Main agent model
+model = HfApiModel(
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    custom_role_conversions=None
+)
 
-# Load the DuckDuckGo search tool
-search_model = HfApiModel("Intelligent-Internet/II-Search-4B", return_text=True)
+# -------------------------------
+# 2️⃣ Define tools
+# -------------------------------
 
 @tool
 def my_custom_tool(city1: str, city2: str) -> str:
     """
     A tool that searches for the top 5 sightseeing locations in two cities.
-    Args:
-        city1: The name of the first city.
-        city2: The name of the second city.
-    Returns:
-        A string listing the top 5 sightseeing locations in each city.
     """
+    # Query the search model as plain text
+    text_city1 = search_model(f"List the top 5 sightseeing locations in {city1}")
+    text_city2 = search_model(f"List the top 5 sightseeing locations in {city2}")
+
+    # Split by lines to get individual results
+    results_city1 = text_city1.split("\n")
+    results_city2 = text_city2.split("\n")
 
-    # Search for top 5 sightseeing locations in city1
-    results_city1 = search_model(f"top 5 sightseeing locations in {city1}").split("\n")
-    # Search for top 5 sightseeing locations in city2
-    results_city2 = search_model(f"top 5 sightseeing locations in {city2}").split("\n")
-    print(results_city1)
-    
-    # Format the results as a string
+    # Format the output
     output = f"Top 5 sightseeing locations in {city1}:\n"
     output += "\n".join(results_city1[:5]) + "\n\n"
     output += f"Top 5 sightseeing locations in {city2}:\n"
@@ -49,14 +52,8 @@ def my_custom_tool(city1: str, city2: str) -> str:
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """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:
@@ -65,26 +62,21 @@ def get_current_time_in_timezone(timezone: str) -> str:
 
 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,
-)
-
-
-# Import tool from Hub
+# Image generation tool from Hugging Face Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
+# -------------------------------
+# 3️⃣ Load prompt templates
+# -------------------------------
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# -------------------------------
+# 4️⃣ Create agent
+# -------------------------------
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, get_current_time_in_timezone,my_custom_tool ], ## add your tools here (don't remove final answer)
+    tools=[final_answer, get_current_time_in_timezone, my_custom_tool],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -94,6 +86,12 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-my_custom_tool("Berlin","Bremen")
+# -------------------------------
+# 5️⃣ Test the tool
+# -------------------------------
+if __name__ == "__main__":
+    result = my_custom_tool("Berlin", "Bremen")
+    print(result)
 
-GradioUI(agent).launch()
+    # Launch Gradio UI
+    GradioUI(agent).launch()