Update app.py

app.py

@@ -5,7 +5,6 @@ import yaml
 from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
 
-# Example tool that provides waste disposal recommendations
 @tool
 def find_recycling_center(waste_type: str, location: str) -> str:
     """
@@ -14,21 +13,15 @@ def find_recycling_center(waste_type: str, location: str) -> str:
         waste_type: The type of waste to recycle (e.g., 'plastic bottles').
         location: The location where the user is based (e.g., 'Moscow, Russia').
     """
-    # Here you would typically call an external API or database to get the information
-    # For this example, we'll return a static response
     recycling_info = {
         "plastic bottles": "You can recycle plastic bottles at your local supermarket or recycling center.",
         "paper": "Paper can be recycled at most municipal recycling centers.",
         "electronics": "Electronics should be taken to specialized e-waste recycling facilities."
     }
-
-    # Check if the waste type is in the dictionary
     if waste_type.lower() in recycling_info:
         return f"In {location}, {recycling_info[waste_type.lower()]} Please check their website for opening hours."
     else:
         return f"Sorry, I don't have information about recycling {waste_type} in {location}. Please contact your local waste management service for assistance."
-
-# Tool to get the current local time in a specified timezone
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """
@@ -42,33 +35,23 @@ def get_current_time_in_timezone(timezone: str) -> str:
         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)}"
-
-# Load the final answer tool
 final_answer = FinalAnswerTool()
-
-# Define AI_assistant or import it if it's from another module
 AI_assistant = {
     'role1': 'conversion1',
     'role2': 'conversion2'
-    # Add other role conversions as needed
 }
-
-# Initialize the model with the defined AI_assistant
 model = HfApiModel(
     max_tokens=2096,
     temperature=0.5,
     model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
     custom_role_conversions=AI_assistant,
 )
-
-# Load prompt templates from a YAML file
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
 
-# Create the agent with the specified model and tools
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, find_recycling_center],  # Add the recycling tool here
+    tools=[final_answer, find_recycling_center],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -77,9 +60,8 @@ agent = CodeAgent(
     description=None,
     prompt_templates=prompt_templates
 )
+GradioUI(agent).launch(ssr=False)
 
-# Launch the Gradio UI with the agent
-GradioUI(agent).launch(share=False, ssr=False)