alarv commited on
Commit
41f6549
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1 Parent(s): dda4752

Update app.py

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  1. app.py +15 -20
app.py CHANGED
@@ -7,32 +7,27 @@ from tools.final_answer import FinalAnswerTool
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  from Gradio_UI import GradioUI
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- # Below is an example of a tool that does nothing. Amaze us with your creativity !
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  @tool
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- def my_custom_tool(smiles:str, property: )-> str: #it's import to specify the return type
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- #Keep this format for the description / args / args description but feel free to modify the tool
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- """A tool that does nothing yet
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  Args:
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- arg1: the first argument
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- arg2: the second argument
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  """
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- return "What magic will you build ?"
 
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  @tool
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- def get_current_time_in_timezone(timezone: str) -> str:
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- """A tool that fetches the current local time in a specified timezone.
 
 
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  Args:
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- timezone: A string representing a valid timezone (e.g., 'America/New_York').
 
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  """
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- try:
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- # Create timezone object
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- tz = pytz.timezone(timezone)
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- # Get current time in that timezone
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- local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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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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-
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  final_answer = FinalAnswerTool()
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@@ -55,7 +50,7 @@ with open("prompts.yaml", 'r') as stream:
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  agent = CodeAgent(
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  model=model,
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- tools=[final_answer,get_current_time_in_timezone], ## add your tools here (don't remove final answer)
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  max_steps=6,
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  verbosity_level=1,
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  grammar=None,
 
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  from Gradio_UI import GradioUI
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  @tool
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+ def qsartoolbox_calculator_tool(smiles:str, calculatorGUID: str)-> str: #it's import to specify the return type
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+ """A tool that utilises the qsar toolbox calculator
 
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  Args:
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+ smiles: a smiles formula
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+ calculatorGUID: a calculator guid to use
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  """
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+
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+ return 4
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  @tool
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+ def qsartoolbox_qsar_model_tool(smiles:str, qsarModelGUID: str)-> str: #it's import to specify the return type
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+ """This machine learning model serves as an interface for the QSAR Toolbox API,
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+ allowing users to input SMILES strings and select a QSAR model to generate predictive values for various properties.
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+
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  Args:
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+ smiles: a smiles formula
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+ qsarModelGUID: a qsar model guid to use
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  """
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+
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+ return 4
 
 
 
 
 
 
 
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  final_answer = FinalAnswerTool()
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  agent = CodeAgent(
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  model=model,
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+ tools=[final_answer,qsartoolbox_qsar_model_tool], ## add your tools here (don't remove final answer)
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  max_steps=6,
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  verbosity_level=1,
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  grammar=None,