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Update app.py
Browse files
app.py
CHANGED
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@@ -22,6 +22,7 @@ def find_recycling_center(waste_type: str, location: str) -> str:
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return f"In {location}, {recycling_info[waste_type.lower()]} Please check their website for opening hours."
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else:
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return f"Sorry, I don't have information about recycling {waste_type} in {location}. Please contact your local waste management service for assistance."
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""
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@@ -35,23 +36,32 @@ def get_current_time_in_timezone(timezone: str) -> str:
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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AI_assistant = {
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'role1': 'conversion1',
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'role2': 'conversion2'
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}
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=AI_assistant,
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)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[final_answer, find_recycling_center],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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@@ -60,8 +70,6 @@ agent = CodeAgent(
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description=None,
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch(ssr=False)
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return f"In {location}, {recycling_info[waste_type.lower()]} Please check their website for opening hours."
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else:
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return f"Sorry, I don't have information about recycling {waste_type} in {location}. Please contact your local waste management service for assistance."
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+
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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# Define AI_assistant or import it if it's from another module
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AI_assistant = {
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'role1': 'conversion1',
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'role2': 'conversion2'
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# Add other role conversions as needed
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}
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# Initialize the model
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=AI_assistant,
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)
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# Load prompt templates from a YAML file
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# Create the agent with the specified model and tools
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agent = CodeAgent(
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model=model,
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tools=[final_answer, find_recycling_center], # Add the recycling tool here
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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description=None,
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prompt_templates=prompt_templates
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)
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# Launch the Gradio UI with the agent
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GradioUI(agent).launch()
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