erk8989 commited on
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2ba7b8f
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1 Parent(s): 8c5c24b

Update app.py

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  1. app.py +26 -12
app.py CHANGED
@@ -4,19 +4,28 @@ import requests
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  import pytz
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  import yaml
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  from tools.final_answer import FinalAnswerTool
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-
 
 
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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(arg1:str, arg2:int)-> 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:
@@ -34,6 +43,14 @@ def get_current_time_in_timezone(timezone: str) -> str:
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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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  # 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:
@@ -47,15 +64,12 @@ custom_role_conversions=None,
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  )
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- # Import tool from Hub
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- image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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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], ## 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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  import pytz
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  import yaml
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  from tools.final_answer import FinalAnswerTool
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+ from tools.visit_webpage import VisitWebpageTool
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+ !pip install gliner
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+ from gliner import GLiNER
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  from Gradio_UI import GradioUI
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  @tool
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+ def ner_tool(text:str, labels:list)-> str:
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+ """A tool that calls the GLiNER model to perform a name entity recognition task on a piece of text.
 
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  Args:
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+ text: the text on which to perform the name entity recognition task
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+ labels: a list of the types of entities to extract from the text
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  """
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+ try:
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+ model = GLiNER.from_pretrained("urchade/gliner_large-v2.1")
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+ entities_list = []
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+ results = model.predict_entities(text, labels)
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+ for entity in results:
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+ entities_list.append(entity["text"])
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+ entities = ", ".join(entities_list)
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+ return entities
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+ except Exception as e:
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+ return "Error fetching entities."
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  @tool
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  def get_current_time_in_timezone(timezone: str) -> str:
 
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  return f"Error fetching time for timezone '{timezone}': {str(e)}"
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+ # Import tool from Hub
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+ image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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+
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+ # The rest of the tools
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+ search_web = DuckDuckGoSearchTool()
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+ visit_page = VisitWebpageTool()
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+ ner = ner_tool()
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+ timezone = get_current_time_in_timezone()
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  final_answer = FinalAnswerTool()
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  # 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:
 
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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=[image_generation_tool, search_web, visit_page, ner, timezone, final_answer], ## 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,